The present disclosure relates to monitoring, regulating, or controlling fluid flow. More particularly, the present disclosure relates to a system, method, and apparatus for monitoring, regulating, or controlling fluid flow, for example, for use in medical applications such as intravenous infusion therapy, dialysis, transfusion therapy, peritoneal infusion therapy, bolus delivery, enteral nutrition therapy, parenteral nutrition therapy, hemoperfusion therapy, fluid resuscitation therapy, or insulin delivery, among others.
In many medical settings, one common mode of medical treatment involves delivering fluids into a patient, such as a human, animal, or pet. The need may arise to rapidly infuse fluid into the patient, accurately infuse the fluid into the patient, and/or slowly infuse the fluid into the patient. Saline and lactated ringers are examples of commonly used fluids. Such fluids may be used to maintain or elevate blood pressure and promote adequate perfusion. In the shock-trauma setting or in septic shock, fluid resuscitation is often a first-line therapy to maintain or improve blood pressure.
Delivery of fluid into the patient may be facilitated by use of a gravity-fed line (or tube) inserted into the patient. Typically, a fluid reservoir (e.g., an IV bag) is hung on a pole and is connected to the fluid tube. The fluid tube is sometimes coupled to a drip chamber for trapping air and estimating fluid flow. Below the fluid tube may be a manually actuated valve used to adjust the flow of fluid. For example, by counting the number of drops formed in the drip chamber within a certain amount of time, a caregiver can calculate the rate of fluid that flows through the drip chamber and adjust the valve (if needed) to achieve a desired flow rate.
Certain treatments require that the fluid delivery system strictly adhere to the flow rate set by the caregiver. Typically, such applications use an infusion pump, but such pumps may not be used in all situations or environments.
Briefly, and in general terms, the present disclosure relates to a system, method, and apparatus for monitoring, regulating, or controlling fluid flow, for example, for use in medical applications such as intravenous infusion therapy, dialysis, transfusion therapy, peritoneal infusion therapy, bolus delivery, enteral nutrition therapy, parenteral nutrition therapy, hemoperfusion therapy, fluid resuscitation therapy, or insulin delivery, among others. More particularly, the present disclosure relates to a fluid flow meter for monitoring the flow of fluids associated with a patient, a valve for regulating the flow of fluid associated with the patient, and/or a fluid flow meter coupled to a valve (e.g., arranged in a closed-loop, open-loop, or feedback configuration) to monitor, regulate and/or control the use of fluid associated with the patient.
In some embodiments of the present disclosure, a flow meter includes one or more optical sensors to monitor the flow of fluid within a tube, for example, using an image sensor to monitor drops within a drip chamber attached to the tube. The flow meter may be a stand-alone device, may be used in conjunction with either a pump or a valve, or both, and/or may be used to provide feedback to any electronic device. The flow meter may be remotely controlled, e.g., by a monitoring client, a remote communicator, a smart phone, a computer, etc. The flow meter may measure the average flow rate, an instantaneous flow rate, a drop volume, a drop growth rate, or other parameter related to fluid flow.
The flow meter may use the flow rate or parameter related to fluid flow to: (1) display the flow rate or parameter on a screen, (2) provide feedback, such as the flow rate or parameter related to fluid flow (wirelessly or via wires), to an infusion pump such as a peristaltic pump, (3) provide feedback to a monitoring client or remote monitoring client such as a smart phone, (4) issue alarms when the flow rate or parameter related to fluid flow is outside a predetermined range, (5) issue an alarm with the flow rate or parameter related to fluid flow is above a predetermined threshold, (6) issue an alarm when a free flow is detected, (7) communicate alarms to a pump, a monitoring client, or a remote monitoring client, (8) instruct a valve to stop fluid flow when a free flow is detected, an alarm is issued, and/or the flow rate or parameter related to fluid flow is above a threshold or is outside of a predetermined range, and/or (9) broadcast the flow rate or parameter related to fluid flow.
In some embodiments described herein, a valve regulates the flow of fluid associated with a patient. The valves disclosed herein may be manually actuated or may be actuated with an actuator (or both). The valve may be used with or without a pump, with or without a flow meter, and/or may be a stand-alone device. The valve may be remotely controlled, e.g., by a monitoring client, a remote communicator, a smart phone, a computer, etc. The valve may compress a tube along a portion that is substantially greater than the diameter of the tube, e.g., 2 times greater, 5 times greater, 10 times greater, etc.
The valve may be made of two or more pieces that compress the tube or may be made of a single piece that compresses the tube as the piece is moved or deformed. The two or more pieces and/or the single piece may be made using injection molding, ultrasonic welding, using multiple pieces that are glued or molded together, or the like. Each of the two or more pieces may be made by one or more subparts that are attachable to each other either permanently or temporarily. The single piece may be made by one or more subparts that are coupled together either permanently or temporarily, e.g., using ultrasonic welding, gluing, latching, or other technique. The pieces may be plastic, metal, an alloy, a polymer, or other material.
In some embodiments of the present disclosure, a flow meter is coupled to a valve to regulate fluid flow, e.g., fluid flow into a patient. The flow meter coupled to the valve may be used in lieu of a pump, such as a peristaltic infusion pump. The flow meter and valve combination may be remotely controlled, e.g., by a monitoring client, a remote communicator, a smart phone, a computer, etc. or may be remotely monitored. A monitoring client may control the flow meter or valve, may be a relay between the flow meter and valve, may monitor the operation of the flow meter or valve, may communicate information related to the flow meter or valve to a server, and/or may not be used in the system.
The flow meter may monitor the flow of fluid and make adjustments, directly or indirectly, to a valve or a pump (e.g., an infusion pump). The flow meter may alarm when it detects free flow conditions, determines if the flow rate is greater than a predetermined threshold or is outside a predetermined range, and/or detects any abnormal behavior. The flow meter, in response to an alarm or condition, may cause the flow meter to stop fluid flow, instruct a valve to stop fluid flow, instruct a safety valve to stop fluid flow, notify a monitoring client or remote communicator, broadcast the detected condition, or perform a predefine routine or algorithm.
In certain embodiments of the present disclosure, an apparatus for regulating fluid flow includes a curved, elongated support member and an opposing support member. The curved, elongated support member is elastically deformable and has first and second ends. The opposing support member is configured to position a tube against the curved, elongated support member between the first and second ends such that deformation of the curved, elongated support member by movement of the first and second ends toward each other reduces an internal volume of the tube. The opposing support member may be another curved, elongated support member.
The apparatus may include an actuator coupled to the curved, elongated support member to deform the curved, elongated support member by movement of the first and second ends toward each other by actuation of the actuator. In some such embodiments, the actuator may be a lead screw, and a knob may be coupled to the lead screw to actuate the lead screw.
The actuator, the curved, elongated support member, and the opposing support member may be configured to regulate the fluid flow by actuation of the actuator in accordance with a Gompertz curve. The actuator may be further configured, in some embodiments, to actuate the first and second ends toward each other along a predetermined portion of the Gompertz curve. For example, the actuator may only actuate the actuator along a portion of the actuatable range of the curved, elongated support member and the opposing support member.
The actuator, the curved, elongated support member, and the opposing support member may be configured to regulate the fluid flow by actuation of the actuator in accordance with a sigmoid curve. The actuator may be further configured to actuate the first and second ends toward each other along a predetermined portion of the sigmoid curve.
The curved, elongated support member may be semi-rigid and/or may consist essentially of a stretchable material. The curved, elongated support member may be an arcuate, elongated support member, and/or may be C-shaped.
The apparatus may further comprise an elongated connecting member operatively coupled to the first and second ends of the curved, elongated support member.
In certain embodiments of the present disclosure, the apparatus may comprise an actuator coupled to the elongated connecting member and the curved, elongated support member to apply an outward expanding force to thereby deform the first and second ends of the curved, elongated support members toward each other.
In certain embodiments of the present disclosure, the curved, elongated support member is disposed about parallel to the another curved, elongated support member along a substantial portion thereof. For example, the curved, elongated support member defines a length, and the another curved, elongated support member defines a length and the length of the another curved, elongated support member is disposed approximately parallel with the length of the curved, elongated support member.
In certain embodiments of the present disclosure, the apparatus includes an actuator operatively coupled to the curved, elongated support member at the first and second ends, and to the another curved, elongated support member at first and second ends. The actuation of the actuator causes the first and second ends of the curved, elongated support member to approach each other and also causes the first and second ends of the another curved, elongated support member to approach each other to thereby cause a reduction in distance between the curved, elongated support member and the another curved, elongated support member to thereby compress the tube.
In certain embodiments of the present disclosure, the curved, elongated support member defines a length, and the opposing support member is disposed orthogonally from the length along a portion thereof.
In certain embodiments of the present disclosure, the curved, elongated support member includes a plurality of ridges disposed thereon to engage the tube.
In certain embodiments of the present disclosure, the opposing support member includes a plurality of ridges disposed thereon configured to engage the tube.
In certain embodiments of the present disclosure, the curved, elongated support member includes a flange extending from a length thereof configured to hold the tube. The opposing support member may include another flange extending from a length thereof configured to hold the tube such that the flange and another flange are about parallel to each other and are about parallel to a central axis defined by the tube when the tube is disposed therebetween.
In certain embodiments of the present disclosure, an apparatus for regulating fluid flow includes a first elongated support member, a second elongated support member, and an actuator. The first elongated support member defines a length, and the second elongated support member also defines its own length such that the length of the second elongated support member is disposed in spaced relation with the length of the first elongated support member to cooperate with the first elongated support member to compress a tube. The actuator is in mechanical engagement with at least one of the first and second elongated support members to actuate the first and second elongated support members toward each other to thereby compress a tube disposed therebetween to regulate flow of fluid within the tube such that actuation of the actuator actuates the first and second elongated support members to regulate fluid flow within the tube in accordance with an approximate sigmoid curve.
The length of the second elongated support member may be disposed about parallel to the length of the first elongated support member. The first and second elongated support members may be configured to cooperate with each other to compress the tube along a length of the tube at least substantially greater than the diameter of the tube. The actuator may be configured to actuate the first and second elongated support members to compress the tube to regulate fluid flow within the tube along a predetermined portion of the sigmoid curve.
In certain embodiments of the present disclosure, an apparatus for regulating fluid flow includes first and second elongated support members. The first elongated support member defines a length and the second elongated support member defines a length. The length of the second elongated support member is disposed in spaced relation with the length of the first elongated support member to cooperate with the first elongated support member to compress a tube. The actuator is in mechanical engagement with at least one of the first and second elongated support members to actuate the first and second elongated support members toward each other to thereby compress a tube disposed therebetween to regulate flow of fluid within the tube such that actuation of the actuator actuates the first and second elongated support members to regulate fluid flow within the tube in accordance with an approximate Gompertz curve.
The length of the second elongated support member may be disposed about parallel to the length of the first elongated support member. The first and second elongated support members may be configured to cooperate with each other to compress the tube along a length at least substantially greater than the diameter of the tube.
The actuator may be configured to actuate the first and second elongated support members to compress the tube to regulate fluid flow within the tube in accordance with a predetermined portion of the Gompertz curve.
In certain embodiments of the present disclosure, an apparatus for regulating fluid flow includes first and second elongated support members. The first elongated support member defines a length, and the second elongated support member defines a length such that the length of the second elongated support member is disposed in spaced relation with the length of the first elongated support member to cooperate with the first elongated support member to compress a tube. The actuator is in mechanical engagement with at least one of the first and second elongated support members to actuate the first and second elongated support members toward each other to thereby compress a tube disposed therebetween to regulate flow of fluid within the tube such that actuation of the actuator actuates the first and second elongated support members to regulate fluid flow within the tube in accordance with an approximate generalized logistic function.
The length of the second elongated support member may be disposed about parallel to the length of the first elongated support member. The first and second elongated support members may be configured to cooperate with each other to compress the tube along a length of the tube at least substantially greater than the diameter of the tube. The actuator may be further configured to actuate the first and second elongated support members to compress the tube to regulate fluid flow within the tube in accordance with a predetermined portion of the generalized logistic function.
In certain embodiments of the present disclosure, an apparatus for regulating fluid flow includes first and second support members, and an actuator. The first support member forms at least one of an arc, a plurality of arcs, a curve, a plurality of curves, an arcuate shape, a plurality of arcuate shapes, an S-shape, a C-shape, a convex shape, a plurality of convex shapes, and a concave shape. The second support member is disposed in spaced relation with the first support member to cooperate with the first support member to compress a tube along a length of the tube at least substantially greater than the diameter of the tube. The actuator is in mechanical engagement with at least one of the first and second support members to actuate the first and second support members toward each other to thereby compress a tube disposed therebetween to regulate flow of fluid within the tube such that actuation of the actuator actuates the first and second support members to regulate fluid flow within the tube in accordance with an approximate nonlinear function.
The approximate nonlinear function may be an approximate generalized logistic function, an approximate sigmoid curve, and/or an approximate Gompertz curve. The actuator may be configured to actuate to thereby regulate the fluid flow within the tube in accordance with a predetermined portion of the approximate nonlinear function.
In certain embodiments of the present disclosure, the first support member forms an arc, has a shape consisting essentially of an arc, forms a plurality of arcs, has a shape consisting essentially of a plurality of arcs, forms a curve, has a shape consisting essentially of a curve, forms a plurality of curves, has a shape consisting essentially of a plurality of curves, forms an arcuate shape, has a shape consisting essentially of an arcuate shape, forms a plurality of arcuate shapes, has a shape consisting essentially of a plurality of arcuate shapes, forms an S-shape, has a shape consisting essentially of an S-shape, forms a C-shape, has a shape consisting essentially of a C-shape, forms a convex shape, has a shape consisting essentially of a convex shape, forms a plurality of convex shapes, has a shape consisting essentially of a plurality of convex shapes, forms a concave shape, has a shape consisting essentially of a concave shape, forms a plurality of concave shapes, and/or has a shape consisting essentially of a plurality of concave shapes.
A length of the second support member may be disposed about parallel to a length of the first support member. The first and second support members may be configured to cooperate with each other to compress the tube along a length of the tube at least substantially greater than the diameter of the tube.
In certain embodiments of the present disclosure, an apparatus for regulating fluid flow includes a curved, elongated support member and an opposing support member. The curved, elongated support member is elastically deformable and has first and second ends. The opposing support member is configured to define a conduit with the curved, elongated support member such that the conduit is defined between the curved, elongated support member and the opposing member; Deformation of the curved, elongated support member by movement of the first and second ends toward each other reduces an internal volume of the conduit. In some embodiments, the conduit may be configured to receive a tube. In yet additional embodiments, the conduit is fluidly sealed, and the apparatus further comprises first and second ports in fluid communication with the conduit such that each port is adapted for being coupled to a tube.
In certain embodiments of the present disclosure, a system for regulating fluid flow includes a flexible tube and an inverse-Bourdon-tube valve. The flexible fluid tube has a fluid path and is configured for passing fluid therethrough. The inverse-Bourdon-tube valve is coupled to the flexible fluid tube to regulate the fluid flowing through the fluid path of the flexible fluid tube. An actuator may be coupled to the inverse-Bourdon-tube valve to actuate the inverse-Bourdon-tube valve to regulate the fluid flowing through the fluid path of the flexible fluid tube. An inverse-Bourdon-tube valve works in an opposite way of a Bourdon tube in that a deformation of the fluid path causes changes in fluid flow rather than fluid flow causing deformation of the fluid path.
In certain embodiments of the present disclosure, a system for regulating fluid flow includes a fluid tube, a valve, and an actuator. The fluid tube defines a fluid path configured for passing fluid therethrough. The valve is operatively coupled to the fluid tube and includes first and second flexible members. The second flexible member is operatively coupled to the first flexible member. The fluid tube is disposed between the first and second flexible members, and the first and second flexible members are configured to flex to thereby regulate flow of fluid passing through the fluid tube. The actuator is coupled to at least a first end of the first flexible member and a second end of the first flexible member. The actuator may be a lead screw and there may be an electrically powered motor coupled to the lead screw to turn the lead screw.
In certain embodiments of the present disclosure, the system may include a knob coupled to the lead screw such that the knob is configured to rotate the lead screw. The knob may be engaged by a motor-driven actuator.
In certain embodiments of the present disclosure, the actuator is coupled to a first end of the first flexible member and a second end of the first flexible member, and the actuator is configured to at least one of flex the first and second ends toward each other and flex the first and second ends away from each other. The actuator may flex the first and second ends away from each other and/or the actuator flexes the first and second flexible members such that the first and second ends approach each other. The first and second flexible members may be generally rectangular. The first member and/or the second member may be tensioned to at least substantially stop fluid flow when the actuator ceases application of a force.
The system may include a flow meter coupled to a drip chamber that is coupled to the fluid tube such that the flow meter estimates fluid flow through the drip chamber and therefore also estimate fluid flow through the fluid tube. The flow meter may be an image-sensor-based, flow meter.
The flow meter may be operatively coupled to a motor to actuate the valve, and the system may include a control component to control the motor to actuate the valve to achieve a desired flow rate as estimated by the flow meter.
In certain embodiments of the present disclosure, an apparatus for regulating fluid flow includes first and second C-shaped members. The first C-shaped member defines inner and outer surfaces, and the second C-shaped member defines inner and outer surfaces. At least one of the outer surface of the first C-shaped member and the inner surface of the second C-shaped member is configured to receive a tube. The inner surface of the second C-shaped member is disposed in spaced relation to the outer surface of the first C-shaped member. A substantial area of the inner surface of the second C-shaped member may, in some specific embodiments, abut the outer surface of the first C-shaped member.
In certain embodiments of the present disclosure, the second C-shaped member is flexible and the first C-shaped member is semi-rigid, is rigid, and/or is an elastomer.
A flexible member may be formed from a material selected from the group consisting of a plastic, a polymer, a monomer, a polypropylene, a thermoplastic polymer, a ceramic, a polyvinyl chloride, and a polyethylene.
In certain embodiments of the present disclosure, an apparatus for regulating fluid flow includes first and second flexible sheets. The second flexible sheet is operatively coupled to the first flexible sheet. The first and second flexible sheets are configured to receive a fluid tube therebetween, and the first and second flexible sheets are also configured to flex to thereby regulate flow of fluid passing through the fluid tube.
The apparatus may include an actuator coupled to a first end of the first flexible sheet and a second end of the first flexible sheet. The actuator may be configured to at least one of flex the first and second ends toward each other and flex the first and second ends away from each other.
The apparatus may include a lead screw coupled to a first end of the first flexible sheet and a second end of the first flexible sheet, and a knob coupled to the lead screw such that rotation of the knob rotates the lead screw. The knob may be configured for engagement with a motor-driven actuator whereby the motor-driven actuator actuates the knob.
In certain embodiments of the present disclosure, an apparatus for regulating fluid flow includes first and second curve-shaped members. The first curve-shaped member defines inner and outer surfaces, and the second curve-shaped member also defines inner and outer surfaces. The inner surface of the second curve-shaped member is disposed in spaced relation to the outer surface of the first curve-shaped member.
At least one of the first and second curve-shaped members may be configured to position a fluid tube therebetween. The first curve-shaped member may be at least one of semi-rigid and rigid. The second curve-shaped member may be flexible. The second curve-shaped member may comprise an elastomer. The first and second curve-shaped members may be flexible.
The apparatus may comprise a connecting member operatively coupled to at least one of a first end of the first curve-shaped member and a first end of the second curve-shaped member such that the connecting member is also operatively coupled to at least one of a second end of the first curve-shaped member and a second end of the second curve-shaped member. The connecting member may be flexible, may be rigid, and/or may be semi-rigid.
The apparatus may include an actuator positioned between the connecting member and the second curve-shaped member to apply a force therebetween when actuated. The actuator may be a lead screw.
In certain embodiments of the present disclosure, an apparatus for regulating fluid flow includes first and second curve-shaped members. The first curve-shaped member defines inner and outer surfaces. The first curve-shaped member has first and second receiving members at opposite ends of the first curve-shaped member. The second curve-shaped member defines inner and outer surfaces. The second curve-shaped member has first and second fasteners at opposite ends of the second curve-shaped member. At least one of the first and second fasteners may be a hook. The first receiving member of the first curve-shaped member is configured to engage the first fastener of the second curve-shaped member, and the second receiving member of the first curve-shaped member is configured to engage the second fastener of the second curve-shaped member.
At least one of the receiving members may be a cylindrically-shaped member, such as a barrel nut, configured for coupling to a hook.
At least one of the receiving members may be operatively coupled to an actuator. One or more of the receiving members may be operatively coupled to an electric motor.
In certain embodiments of the present disclosure, the apparatus further includes an electric motor coupled to the first receiving member such that: (1) the electric motor turns a rotor coupled to a shaft having threads on an outer surface thereof; (2) the second receiving member defines a threaded hole configured to receive the shaft; and (3) the threaded hole and shaft cooperate together to at least one of increase or decrease the distance between the first and second receiving members when the electric motor rotates the rotor to thereby rotate the shaft.
In certain embodiments of the present disclosure, an apparatus for regulating fluid flow includes first and second curved, elongated support members. The first curved, elongated support member is elastically deformable and has first and second ends. The second curved, elongated support member is elastically deformable and has first and second ends. The second curved, elongated support member is configured to position a tube against the first curved, elongated support such that deformation of the first and second curved, elongated support members by movement of the first and second ends of the first curved, elongated support member toward each other reduces an internal volume of the tube.
The first connector is coupled to the first end of the first curved, elongated support member and is also coupled to the first end of the second curved, elongated support member. The second connector is coupled to the second end of the first curved, elongated support member and is also coupled to the second end of the second curved, elongated support member. The second connector defines a hole. The connecting member has an end coupled to the first connector and another end configured for insertion into the hole of the second connector. The connecting member defines a threaded rod at least along a portion thereof. The knob has a ratchet configured to ratchet onto the connector member when moved from the another end of the connecting member toward the end of the connecting member. The knob is further configured to engage the threaded rod of the connecting member. The knob may include a plurality of fingers configured to engage the threaded rod of the connecting member. The knob defines an outer periphery and includes a hole defined at the center of the outer periphery of the knob. The hole is configured to receive the threaded rod. The plurality of fingers each arc to engage the threaded rod at a respective end of each of the plurality of fingers.
The first curved, elongated support member defines a first hole adjacent to the first end of the first curved, elongated support member. The hole is configured to hold a fluid tube.
The first curved, elongated support member may define a first notch adjacent to the first end of the first curved, elongated support member such that the notch is configured to receive a fluid tube. The notch may include a neck configured to receive the fluid tube and a circular region configured to retain the fluid tube.
In certain embodiments of the present disclosure, an apparatus for regulating fluid flow includes a base, a plurality of fingers, and a ring. The base defines a hole configured to receive a fluid tube. The plurality of fingers each has an end coupled to the base. The ring is configured to slide from the base and along the plurality of fingers. Movement of the ring away from the base and toward the fingers compresses the fingers against the tube. The ring is configured to frictionally lock against the plurality of fingers. Each finger includes an elongated end coupled to the base and a curved end coupled to an opposite end relative to the base.
In certain embodiments of the present disclosure, an apparatus for regulating fluid flow includes a conically-shaped member, a complementing member, and an actuator. The conically-shaped member has a surface for wrapping a tube therearound. The complementing member is configured to engage the conically-shaped member for compressing the tube. The actuator is configured to compress the conically-shaped member against the complementing member to thereby compress the tube.
In certain embodiments of the present disclosure, an intravenous administration set includes: a flexible tube for directing fluid flow therewithin; a first port at a first end of the flexible tube; a second port at a second end of the flexible tube; a curved, elongated support member elastically deformable and having first and second ends; and an opposing support member configured to position the flexible tube against the curved, elongated support member between the first and second ends such that deformation of the curved, elongated support member by movement of the first and second ends toward each other reduces an internal volume of the tube.
The intravenous administration set may further include a drip chamber coupled to the flexible tube, another port configured to receive a syringe for injection of fluid into the fluid flow within the flexible tube, and/or a slide occluder coupled to the flexible tube configured to engage the flexible tube to occlude fluid flow therewithin.
The first end of the curved, elongated support member may define a first hole to receive the flexible tube, and the second end of the curved, elongated support member may define a second hole to receive the flexible tube.
In certain embodiments of the present disclosure, a flow meter includes a coupler, a support member, first and second image sensors, and at least one processor. The coupler is adapted to couple to a drip chamber. The support member is operatively coupled to the coupler. The first image sensor has a first field of view and is operatively coupled to the support member. The first image sensor is positioned to view the drip chamber within the first field of view. The second image sensor has a second field of view and is operatively coupled to the support member. The second image sensor is positioned to view the drip chamber within the second field of view.
The at least one processor is operatively coupled to the first and second image sensors. The at least one processor receives a first image data from the first image sensor and a second image data from the second image sensor, and the at least one processor estimates at least one parameter of the liquid within the drip chamber using the first and second image data.
The at least one parameter may be one of a type of formation of the liquid, the volume of the liquid, and the shape of the liquid. The at least one processor may determine an existence of a free flow condition using at least one of the first and second sets of image data.
The flow meter may further include a background pattern positioned within the field of view of the first image sensor such that the drip chamber is between the first image sensor and the background pattern.
The at least one processor of the flow meter may estimate the at least one parameter using the first set of image data by analyzing a distortion of the background pattern caused by the liquid within the first field of view as viewed by the first image sensor. The background pattern may be an array of lines having at least one angle relative to an opening of the drip chamber when viewed from the first image sensor within the first field of view using the first set of image data.
The at least processor may determine a free flow condition exists when the liquid causes the array of lines to change angles by distortion caused by the liquid when in the free flow condition as viewed within the first field of view from the first image sensor.
The at least one processor may compare at least one of the first and second image data to a background image to estimate the at least one parameter.
The at least one processor may compare at least one of the first and second image data to the background image by calculating at least one of a difference between the at least one of the first and second image data to the background image, an absolute difference between the at least one of the first and second image data to the background image, and/or a squared absolute difference between the at least one of the first and second image data to the background image.
The flow meter may include a non-transitory, processor-readable memory in operative communication with the at least one processor such that the memory stores an operative set of processor executable instructions configured for execution by the at least one processor. The operative set of processor executable instructions, when executed by the at least one processor, controls the operation of the at least one processor.
In certain embodiments of the present disclosure, a flow meter includes a coupler, a support member, a background pattern, and at least one processor. The coupler is adapted to couple to a drip chamber. The support member is operatively coupled to the coupler. The image sensor has a field of view and is operatively coupled to the support member. The image sensor is positioned to view the drip chamber within the field of view. The background pattern is positioned within the field of view of the image sensor. The background pattern is positioned such that the drip chamber is between the background pattern and the image sensor. The at least one processor is operatively coupled to the image sensor to receive image data therefrom. The at least one processor is configured to estimate at least one parameter of liquid within the drip chamber using distortion of the background pattern caused by the liquid as indicated by the image data. The distortion is viewable within the field of view of the image sensor by the image sensor. The at least one parameter is at least one of a type of formation of the liquid, a volume of the liquid, and a shape of the liquid. The background pattern may be an array of lines having at least one angle relative to an opening of the drip chamber when viewed from the image sensor using the image data.
The at least one processor may determine an existence of a free flow condition using the distortion of the background pattern caused by the liquid as indicated by the image data. The at least processor may determine that a free flow condition exists when the liquid causes the array of lines to change angles by distortion caused by the liquid when in the free flow condition as viewed within the field of view of the image sensor.
The flow meter may further include a non-transitory, processor-readable memory in operative communication with the at least one processor. The non-transitory, processor-readable memory may store an operative set of processor executable instructions configured for execution by the at least one processor such that the operative set of processor executable instructions, when executed by the at least one processor, controls the operation of the at least one processor.
In certain embodiments of the present disclosure, a flow meter includes a coupler, a support member, an image sensor, and at least one processor. The coupler is adapted to couple to a drip chamber. The support member is operatively coupled to the coupler. The image sensor has a field of view and is operatively coupled to the support member such that the image sensor is positioned to view the drip chamber within the field of view. The at least one processor is operatively coupled to the image sensor to receive image data therefrom such that the at least one processor compares an image of the image data to a reference image to estimate at least one parameter of liquid within the drip chamber. The reference image may be a dynamic reference image. The at least one processor may update the reference image by multiplying each pixel of the reference image by a first constant and adding a corresponding pixel of the image multiplied by a second constant.
The flow meter may include a non-transitory, processor-readable memory in operative communication with the at least one processor. The non-transitory, processor-readable memory may include an operative set of processor executable instructions configured for execution by the at least one processor such that the operative set of processor executable instructions, when executed by the at least one processor, controls the operation of the at least one processor.
In certain embodiments of the present disclosure, a method for exposing an image sensor implemented by an operative set of processor executable instructions configured for execution by at least one processor includes: selecting a region of interest; determining if a pixel is within the region of interest; activating a light of a backlight if the pixel is within the region of interest; and exposing the pixel. The activating act may activate a subset of lights including the light of the backlight. The light of the backlight may form a uniform backlight. The image sensor may include the region of interest and the pixel.
The operative set of processor executable instructions may be stored on a non-transitory, processor-readable memory in operative communication with the at least one processor such that the at least one processor can perform the method.
The at least one processor may be coupled to an image sensor such that the at least one processor performs the method using the image sensor. The region of interest may be a region of the image sensor that images a drip chamber. The region of interest may correspond to the drip chamber.
The method may further include: receiving a vertical sync signal from the image sensor; and receiving a horizontal sync signal from the image sensor. The at least one processor may receive the vertical and horizontal sync signals from the image sensor. The at least one processor may activate the light of the backlight in accordance with at least one of the vertical and horizontal sync signals. The light may be a light-emitting diode.
In certain embodiments of the present disclosure, a flow meter includes a coupler, a support member, an image sensor, a backlight, and at least one processor. The coupler is adapted to couple to a drip chamber. The support member operatively couples to the coupler. The image sensor has a field of view and is operatively coupled to the support member such that the image sensor is positioned to view the drip chamber within the field of view. The backlight has at least one light. The backlight is coupled to the support member such that the backlight is adapted to illuminate the image sensor to expose the image sensor. The field of view of the image sensor at least partially images at least a portion of the drip chamber. The least one processor is operatively coupled to the image sensor to receive image data therefrom.
The at least one processor is configured to: select a region of interest of the image sensor; determine if a pixel of the image sensor is within the region of interest; activate the light of the backlight if the pixel of the image sensor is within the region of interest; and expose the pixel of the image sensor.
The flow meter may further include a non-transitory, processor-readable memory readable by the at least one processor. The non-transitory, processor-readable memory includes an operative set of processor executable instructions stored thereon configured to cause the at least one processor, when executed, to: select the region of interest of the image sensor; determine if the pixel of the image sensor is within the region of interest; activate the light of the backlight if the pixel of the image sensor is within the region of interest; and expose the pixel of the image sensor. The at least one processor may be further configured to: receive a vertical sync signal from the image sensor, and receive a horizontal sync signal from the image sensor. The at least one processor may activate the light of the backlight in accordance with at least one of the vertical and horizontal sync signals.
The at least one processor may select the region of interest and determine if the pixel of the image sensor is within the region of interest in accordance with the image data. The region of interest is a region of the image sensor that images the drip chamber. The region of interest may correspond to the drip chamber.
The at least one processor may activate a subset of lights including the light of the backlight. The light of the backlight may form a uniform backlight.
In certain embodiments of the present disclosure, a method includes: capturing an image including an image of a drip chamber using an image sensor having a field of view including the drip chamber; subtracting the image from a background image to thereby generate a difference image; converting each pixel of the difference image to a true value if an absolute value of a respective pixel is beyond a predetermined threshold or to a false value if the absolute value of the respective pixel is less than the predetermined threshold; summing each row of the converted difference image to generate a plurality of summation values, wherein each summation value of the plurality of summation values corresponds to a respective row of the converted difference image; and examining the plurality of summation values. The method may be implemented by an operative set of processor executable instructions stored on a non-transitory, processor-readable memory in operative communication with at least one processor such that the at least one processor performs the method.
The act of examining the plurality of summation values may include determining if a free flow condition exists within the drip chamber.
The act of determining if the free flow condition exists may include determining if the plurality of summation values includes a plurality of contiguous summation values above another predetermined threshold.
The act of examining the plurality of summation values may include determining if a drop has been formed within the drip chamber.
The act of determining if the drop has been formed within the drip chamber may include determining if the plurality of summation values includes a plurality of contiguous summation values within a predetermined range greater than a minimum value and less than a maximum value.
The method may optionally include smoothing the plurality of summation values prior to the examining act. The smoothing act may be in accordance with at least one of a spline function, a cubic spline function, a B-spline function, a Bezier spline function, a polynomial interpolation, a moving average, a data smoothing function, and a cubic-spline-type function.
The at least one processor may optionally be coupled to the image sensor, and the at least one processor may perform the method using the image sensor.
The method may optionally include the act of converting each pixel of the difference image to an absolute value of each pixel after the subtracting act and prior to the converting act.
The method may optionally include the act of converting each pixel of the difference image to a squared value of each pixel after the subtracting act and prior to the converting act.
In certain embodiments of the present disclosure, a flow meter includes a coupler, a support member, a light, and at least one processor. The coupler is adapted to couple to a drip chamber. The support member is operatively coupled to the coupler. The image sensor has a field of view and is operatively coupled to the support member such that the image sensor is positioned to view the drip chamber within the field of view. The light is coupled to the support member and is adapted to illuminate the image sensor to expose the image sensor such that the field of view of the image sensor at least partially images at least a portion of the drip chamber.
The at least one processor is operatively coupled to the image sensor to receive image data therefrom, and the at least one processor is configured to: capture an image including an image of a drip chamber using the image sensor having a field of view including the drip chamber; subtract the image from a background image to thereby generate a difference image; convert each pixel of the difference image to a true value if an absolute value of a respective pixel is beyond a predetermined threshold or to a false value if the absolute value of the respective pixel is less than the predetermined threshold; sum each row of the converted difference image to generate a plurality of summation values, wherein each summation value of the plurality of summation values corresponds to a respective row of the converted difference image; and examine the plurality of summation values.
The flow meter may include a non-transitory, processor-readable memory readable by the at least one processor such that the non-transitory, processor-readable memory includes an operative set of processor executable instructions stored thereon configured to cause the at least one processor, when executed, to: capture the image including the image of a drip chamber using the image sensor having a field of view including the drip chamber; subtract the image from the background image to thereby generate the difference image; convert each pixel of the difference image to the true value if the absolute value of the respective pixel is beyond the predetermined threshold or to the false value if the absolute value of the respective pixel is less than the predetermined threshold; sum each row of the converted difference image to generate the plurality of summation values, wherein each summation value of the plurality of summation values corresponds to the respective row of the converted difference image; and examine the plurality of summation values.
The at least one processor may be further configured to determine if a free flow condition exists within the drip chamber when the processor examines the plurality of summation values.
The at least one processor may be further configured to determine if the plurality of summation values includes a plurality of contiguous summation values above another predetermined threshold when the at least one processor determines if the free flow condition exists.
The at least one processor may be further configured to determine if a drop has been formed within the drip chamber when the at least one processor examines the plurality of summation values.
The at least one processor may be further configured to determine that a drop has been formed if the plurality of summation values includes a plurality of contiguous summation values within a predetermined range greater than a minimum value and less than a maximum value and a location of the contiguous summation values corresponds to a predetermined range of locations in which a drop can form.
The at least one processor may be further configured to smooth the plurality of summation values prior to when the at least one processor examines the plurality of summation values.
The at least one processor may smooth in accordance with at least one of a spline function, a cubic spline function, a B-spline function, a Bezier spline function, a polynomial interpolation, a moving average, a data smoothing function, and/or a cubic-spline-type function.
The flow meter may further include a non-transitory, processor-readable memory having an operative set of processor executable instructions stored thereon. The non-transitory, processor-readable memory is in operative communication with at least one processor such that the operative set of processor executable instructions controls the operation of the at least one processor.
The at least one processor may be further configured to convert each pixel of the difference image to an absolute value of each pixel after the subtraction act and prior to the conversion.
The at least one processor may be further configured to convert each pixel of the difference image to a squared value of each pixel after the subtraction act and prior to the conversion.
In certain embodiments of the present disclosure, a method includes: capturing an image of a drip chamber using an image sensor; identifying a plurality of pixels of interest within the image; determining a subset of pixels within the plurality of pixels of interest, wherein each pixel of the plurality of pixels is determined to be within the subset of pixels when there is a path to a baseline corresponding to the drip chamber; performing a rotation operation on the subset of pixels; and estimating a volume of a drop within the drip chamber by counting a number of pixels within the rotated subset of pixels.
The baseline may be a predetermined set of pixels within the image sensor. The plurality of pixels of interests may be identified by comparing the image to a background image.
The method may optionally include one or more of: initializing the background image; updating the background image using the image captured by the image sensor; updating an array of variances using the image captured by the image sensor; and/or updating an array of integers in according with the image captured by the image sensor.
The background image may be updated in accordance with:
Pbackground,i,j=Pbackground,i,j(1−αbackground)+αbackgroundPinput,i,j.
The array of variances may be updated in accordance with:
σtemp2=(Pbackground,i,j−Pinput,i,j)2
σbackground,i,j2=σbackground,i,j2(1−βbackground)+βbackgroundσtemp2.
Each integer of the array of integers may correspond to a number of updates of a pixel of the background image. In some specific embodiments, the comparison of the image to the background image only compares pixels within the image to pixels within the background image if a respective integer of the array of integers indicates a respective pixel within the background image has been updated at least a predetermined number of times.
The method may optionally include one or more of: identifying a drop in the image and a predetermined band near an edge of the drop; and initializing the background image by setting each pixel of the background image to the image unless it is within the identified drop or the predetermined band near the edge of the drop.
The method may further include setting a pixel of the background image to a predetermined value if a corresponding pixel of the image is within the identified drop or the predetermined band near the edge of the drop. The corresponding pixel of the image has a location corresponding to the pixel of the background image.
The method may further include determining a baseline corresponding to an opening of the drip chamber.
The act of determining a subset of pixels within the plurality of pixels of interest that corresponds to a drop may include determining each of the plurality of pixels of interest is within the subset of pixels if the respective pixel of the plurality of pixels has a contiguous path back to the baseline of the drop forming at an opening of the drip chamber.
The method may optionally include one or more of: capturing a first image using the image sensor; identifying the drop within the first image and a predetermined band near an edge of the drop; initializing the background image by setting each pixel to the first image unless it is within the identified drop or the predetermined band near the edge of the drop; setting pixels within the region of the drop or within the predetermined band to a predetermined value; initializing an array of integers; and initializing an array of variances.
The method may also include one or more of updating the background image, the array of integers, and/or the array of variances using the image.
In certain embodiments of the present disclosure, a flow meter includes a coupler, a support member, an image sensor, and at least one processor. The coupler is adapted to couple to a drip chamber. The support member is operatively coupled to the coupler. The image sensor has a field of view and is operatively coupled to the support member. The image sensor is positioned to view the drip chamber within the field of view.
The at least one processor is operatively coupled to the image sensor to receive image data therefrom, and the at least one processor is configured to: capture an image of a drip chamber using the image sensor; identify a plurality of pixels of interest within the image; determine a subset of pixels within the plurality of pixels of interest, wherein each pixel of the plurality of pixels is determined to be within the subset of pixels when there is a path to a baseline corresponding to the drip chamber; perform a rotation operation on the subset of pixels; and estimate a volume of a drop within the drip chamber by counting a number of pixels within the rotated subset of pixels.
The flow meter may also include a non-transitory, processor-readable memory having an operative set of processor executable instructions stored thereon. The non-transitory, processor-readable memory is in operative communication with the at least one processor such that the operative set of processor executable instructions controls the operation of the at least one processor.
The flow meter may also include a non-transitory, processor-readable memory readable by the at least one processor such that the non-transitory, processor-readable memory includes an operative set of processor executable instructions stored thereon configured to cause the at least one processor, when executed, to: capture an image of a drip chamber using the image sensor; identify a plurality of pixels of interest within the image; determine a subset of pixels within the plurality of pixels of interest, wherein each pixel of the plurality of pixels is determined to be within the subset of pixels when there is a path to a baseline corresponding to the drip chamber; perform a rotation operation on the subset of pixels; and estimate a volume of a drop within the drip chamber by counting a number of pixels within the rotated subset of pixels.
The baseline may be a predetermined set of pixels within the image sensor. The plurality of pixels of interests may be identified by comparing the image to a background image. The at least one processor may be further configured to initialize the background image and/or to update the background image using the image captured by the image sensor.
The background image may be updated in accordance with:
Pbackground,i,j=Pbackground,i,j(1−αbackground)+αbackgroundPinput,i,j.
The at least one processor may be further configured to update an array of variances using the image captured by the image sensor.
The array of variances may be updated in accordance with:
σtemp2=(Pbackground,i,j−Pinput,i,j)2
σbackground,i,j2=σbackground,i,j2(1−βbackground)+βbackgroundσtemp2.
The at least one processor may be further configured to update an array of integers in according with the image captured by the image sensor. Each integer of the array of integers corresponds to a number of updates of a pixel of the background image.
Optionally, in some embodiments, the comparison of the image to the background image only compares pixels within the image to pixels within the background image if a respective integer of the array of integers indicates a respective pixel within the background image has been updated at least a predetermined number of times.
The at least one processor may be further configured to: identify a drop in the image and a predetermined band near an edge of the drop; and initialize the background image by setting each pixel of the background image to the image unless it is within the identified drop or the predetermined band near the edge of the drop.
The at least one processor may be further configured to set a pixel of the background image to a predetermined value if a corresponding pixel of the image is within the identified drop or the predetermined band near the edge of the drop.
In certain embodiments of the present disclosure, the corresponding pixel of the image has a location corresponding to a location of the pixel of the background image.
The at least one processor may be further configured to determine a baseline corresponding to an opening of the drip chamber.
The at least one processor may be further configured to determine whether each of the plurality of pixels of interest is within the subset of pixels if the respective pixel of the plurality of pixels has a contiguous path back to the baseline of the drop forming at an opening of the drip chamber to determine if the subset of pixels are within the plurality of pixels of interest that corresponds to a drop.
The at least one processor may be further configured to: capture a first image using the image sensor; identify the drop within the first image and a predetermined band near an edge of the drop; initialize the background image by setting each pixel to the first image unless it is within the identified drop or the predetermined band near the edge of the drop; set pixels within the region of the drop or within the predetermined band to a predetermined value; initialize an array of integers; and initialize an array of variances.
The at least one processor may be further configured to update the background image, the array of integers, and/or the array of variances using the image.
In certain embodiments of the present disclosure, a flow meter includes an image sensor means and a flow rate estimator means. The image sensor means is for capturing a plurality of images of a drip chamber. The flow rate estimator means is for estimating the flow of fluid through the drip chamber using the plurality of images.
The flow rate estimator means may include a processor means for estimating the flow of fluid through the drip chamber using the plurality of images.
The flow meter may further include a memory means in operative communication with the processor means to provide an operative set of processor executable instruction to cause the processor means to estimate the flow of fluid through the drip chamber using the plurality of images.
In certain embodiments of the present disclosure, a flow meter includes: a memory means having an operative set of processor executable instructions configured for being executed; and a processor means for executing the operative set of processor executable instructions for implementing a flow rate estimator means for estimating the flow of fluid through the drip chamber using the plurality of images.
In certain embodiments of the present disclosure, a method includes: a step for capturing a plurality of images of a drip chamber; and a step for estimating the flow of fluid through the drip chamber using the plurality of images. The method may be implemented by an operative set of processor executable instructions stored on a non-transitory memory and executed by at least one processor.
In certain embodiments of the present disclosure, an apparatus includes: a coupler adapted to couple to a drip chamber; a support member operatively coupled to the coupler; an image sensor having a field of view and is operatively coupled to the support member, wherein the image sensor is positioned to view the drip chamber within the field of view; a valve configured to couple to a fluid tube in fluid communication with the drip chamber, wherein the valve is configured to regulate flow through the fluid tube to thereby regulate the fluid flow through the drip chamber; and at least one processor operatively coupled to the image sensor to receive image data therefrom, wherein the at least one processor is configured to: capture a plurality of images of the drip chamber using the image sensor; estimate a volume growth rate of a drop within the drip chamber using the plurality of images; receive a set point corresponding to a fluid flow rate through the fluid tube; adjust a control system in accordance with the estimated volume growth rate of the drop to achieve the set point; and output a control signal from the control system to an actuator of the valve to control actuation of the valve in accordance with the adjusted control system.
The apparatus may include a non-transitory, processor-readable memory having an operative set of processor executable instructions stored thereon. The non-transitory, processor-readable memory may be in operative communication with at least one processor such that the operative set of processor executable instructions controls the operation of the at least one processor.
The apparatus may include a non-transitory, processor-readable memory readable by the at least one processor. The non-transitory, processor-readable memory may include an operative set of processor executable instructions stored thereon configured to cause the at least one processor, when executed, to: capture the plurality of images of the drip chamber using the image sensor; estimate the volume growth rate of the drop within the drip chamber using the plurality of images; receive the set point corresponding to a fluid flow rate through the fluid tube; adjust the control system in accordance with the estimated volume growth rate of the drop to achieve the set point; and output the control signal from the control system to an actuator of the valve to control actuation of the valve in accordance with the adjusted control system.
The control system may be at least one of a proportional-integral-derivative control system, a proportional-integral control system, a proportional-derivative control system, a proportional control system, an integral control system, a neural net control system, a fuzzy logic control system, and/or a bang-bang control system.
The control system may correlate the estimated volume growth rate of the drop with the fluid flow through the fluid tube.
The valve may include: a curved, elongated support member elastically deformable and having first and second ends; and an opposing support member configured to position the fluid tube against the curved, elongated support member between the first and second ends, wherein deformation of the curved, elongated support member by movement of the first and second ends toward each other reduces an internal volume of the fluid tube. The actuator may be configured to move the first and second ends toward each other.
The valve may include: a first elongated support member defining a length; and a second elongated support member defining a length, wherein the length of the second elongated support member is disposed in spaced relation with the length of the first elongated support member to cooperate with the first elongated support member to compress the fluid tube. The actuator may be in mechanical engagement with at least one of the first and second elongated support members to actuate the first and second elongated support members toward each other to thereby compress the fluid tube disposed therebetween to regulate flow of fluid within the fluid tube; Actuation of the actuator actuates the first and second elongated support members to regulate fluid flow within the tube in accordance with an approximate sigmoid curve.
The valve may include: a first elongated support member defining a length; and a second elongated support member defining a length, wherein the length of the second elongated support member is disposed in spaced relation with the length of the first elongated support member to cooperate with the first elongated support member to compress the fluid tube. The actuator is in mechanical engagement with at least one of the first and second elongated support members to actuate the first and second elongated support members toward each other to thereby compress the fluid tube disposed therebetween to regulate flow of fluid within the tube; Actuation of the actuator actuates the first and second elongated support members to regulate fluid flow within the fluid tube in accordance with an approximate Gompertz curve.
The valve may include: a first elongated support member defining a length; and a second elongated support member defining a length, wherein the length of the second elongated support member is disposed in spaced relation with the length of the first elongated support member to cooperate with the first elongated support member to compress the fluid tube. The actuator is in mechanical engagement with at least one of the first and second elongated support members to actuate the first and second elongated support members toward each other to thereby compress the fluid tube disposed therebetween to regulate flow of fluid within the fluid tube; Actuation of the actuator actuates the first and second elongated support members to regulate fluid flow within the tube in accordance with an approximate generalized logistic function.
The valve may include: a first support member that forms at least one of an arc, a plurality of arcs, a curve, a plurality of curves, an arcuate shape, a plurality of arcuate shapes, an S-shape, a C-shape, a convex shape, a plurality of convex shapes, and a concave shape; and a second support member disposed in spaced relation with the first support member to cooperate with the first support member to compress the fluid tube along a length of the fluid tube at least substantially greater than the diameter of the fluid tube. The actuator in is mechanical engagement with at least one of the first and second support members to actuate the first and second support members toward each other to thereby compress the fluid tube disposed therebetween to regulate flow of fluid within the fluid tube; Actuation of the actuator actuates the first and second support members to regulate fluid flow within the fluid tube in accordance with an approximate nonlinear function.
The valve may include: a curved, elongated support member elastically deformable and having first and second ends; and an opposing support member configured to define a conduit with the curved, elongated support member. The conduit is defined between the curved, elongated support member and the opposing member. The fluid tube is disposed within the conduit and deformation of the curved, elongated support member by movement of the first and second ends toward each other reduces an internal volume of the fluid tube within the conduit.
The valve may be an inverse-Bourdon-tube valve coupled to the fluid tube to regulate the fluid flowing through the fluid path of the fluid tube.
The valve may include: a first flexible member; and a second flexible member operatively coupled to the first flexible member. The fluid tube may be disposed between the first and second flexible members. The first and second flexible members are configured to flex to thereby regulate flow of fluid passing through the fluid tube, and the actuator is coupled to at least a first end of the first flexible member and a second end of the first flexible member.
The valve may include a first C-shaped member defining inner and outer surfaces; and a second C-shaped member defining inner and outer surfaces. At least one of the outer surface of the first C-shaped member and the inner surface of the second C-shaped member is configured to receive the fluid tube. The inner surface of the second C-shaped member is disposed in spaced relation to the outer surface of the first C-shaped member. The actuator is coupled to the first and second C-shaped members to bend the first and second C-shaped members to compress the fluid tube.
The valve may include: a first flexible sheet; and a second flexible sheet operatively coupled to the first flexible sheet. The first and second flexible sheets are configured to receive the fluid tube therebetween. The first and second flexible sheets are configured to flex to thereby regulate flow of fluid passing through the fluid tube. The actuator is coupled to the first and second flexible sheets to regulate flow of fluid passing through the fluid tube.
The valve may include: a first curve-shaped member defining inner and outer surfaces; and a second curve-shaped member defining inner and outer surfaces. The inner surface of the second curve-shaped member is disposed in spaced relation to the outer surface of the first curve-shaped member with the fluid tube disposed between the first and second curved-shaped members, and the actuator is coupled to the first and second curve-shaped members to bend the first and second curve-shaped members to thereby regulate the flow of fluid within the fluid tube.
The valve may include: a first curve-shaped member defining inner and outer surfaces, the first curve-shaped member having first and second receiving members at opposite ends of the first curve-shaped member; and a second curve-shaped member defining inner and outer surfaces, the second curve-shaped member having first and second fasteners at opposite ends of the second curve-shaped member. The first receiving member of the first curve-shaped member is configured to engage the first fastener of the second curve-shaped member. The second receiving member of the first curve-shaped member is configured to engage the second fastener of the second curve-shaped member. The actuator is coupled to the first and second curve-shaped members to bend the first and second curve-shaped members to regulate the flow of fluid within the fluid tube disposed therebetween.
The valve may include: a first curved, elongated support member elastically deformable and having first and second ends; and a second curved, elongated support member elastically deformable and having first and second ends, wherein the second curved, elongated support member is configured to position the fluid tube against the first curved, elongated support member, wherein deformation of the first and second curved, elongated support members by movement of the first and second ends of the first curved, elongated support member toward each other reduces an internal volume of the fluid tube; a first connector coupled to the first end of the first curved, elongated support member and coupled to the first end of the second curved, elongated support member; a second connector coupled to the second end of the first curved, elongated support member and coupled to the second end of the second curved, elongated support member, wherein the second connector defines a hole; a connecting member having an end coupled to the first connector and another end configured for insertion into the hole of the second connector, wherein the connecting member defines a threaded rod at least along a portion thereof; and a knob having a ratchet configured to ratchet onto the connecting member when moved from the another end of the connecting member toward the end of the connecting member, wherein the knob is further configured to engage the threaded rod of the connecting member; The actuator may be coupled to the knob to rotate the knob.
The valve may include: a base defining a hole configured to receive the fluid tube; a plurality of fingers each having an end coupled to the base; and a ring configured to slide from the base and along the plurality of fingers. Movement of the ring from the base compresses the fingers against the fluid tube. The ring is configured to frictionally lock against the plurality of fingers. The actuator is coupled to the ring to slide the ring.
The valve may include: a conically-shaped member having a surface for wrapping the fluid tube therearound; and a complementing member configured to engage the conically-shaped member for compressing the tube. The actuator is configured to compress the conically-shaped member against the complementing member to thereby compress the fluid tube.
The control system may be implemented in hardware, software, a combination of hardware and software, and/or by at least one operational amplifier.
The apparatus may include a non-transitory, processor-readable memory, wherein: the control system is implemented by an operative set of processor executable instructions configured for execution by the at least one processor, the operative set of processor executable instructions is stored on the non-transitory, processor-readable memory, and the non-transitory, processor-readable memory is in operative communication with the at least one processor to operatively communicate the operative set of processor executable instructions to the at least one processor for execution by the at least one processor.
The set point may be compared to the volume growth rate of the drop to adjust the control system. The set point may be compared to the volume growth rate of the drop to determine an error signal. The error signal may be the difference between the set point and the volume growth rate of the drop. The error signal may be passed through a signal processing apparatus to generate the output signal. The signal processing apparatus may implement a proportional-integral-derivative controller with at least one non-zero gain parameter.
In another embodiment of the present disclosure, an apparatus for regulating fluid flow includes a curved, elongated support member and an opposing support member. The curved, elongated support member is elastically deformable and has first and second ends. The first end is configured to pivotally couple to first and second dog bone linkers, and the second end is configured to pivotally couple to third and fourth dog bone linkers. The opposing support member is configured to position a tube against the curved, elongated support member between the first and second ends such that deformation of the curved, elongated support member by movement of the first and second ends toward each other reduces an internal cross-section along a length of the tube. The first end of the opposing support member is configured to pivotally couple to the first and second dog bone linkers, and a second end of the opposing support member is configured to pivotally couple to the third and fourth dog bone linkers.
The first end of the curved, elongated support member may include an engagement finger configured to engage a rack. The second end of the curved elongated may be configured to pivotally couple to the rack. The apparatus may include a knob coupled to the first end of the curved, elongated support member to move the rack.
In yet another embodiment of the present disclosure, a flow meter includes a coupler, a support member, an image sensor, a laser, and at least one processor. The coupler is adapted to couple to a drip chamber. The support member is operatively coupled to the coupler. The image sensor has a field of view and is operatively coupled to the support member, and the first image sensor is configured to view the drip chamber within the field of view. The laser is configured to shine the optical light onto the binary optics assembly.
The at least one processor is operatively coupled to the image sensor such that: (1) the at least one processor receives data from the image sensor having at least a portion of the back pattern represented therein; and (2) the at least one processor estimates at least one parameter of liquid within the drip chamber using the image data.
In yet another embodiment of the present disclosure, a flow meter includes a coupler, a support member, first and second electrodes, and at least one processor. The coupler is adapted to couple to a drip chamber. The support member is operatively coupled to the coupler. The first electrode is configured to couple to a fluid line in fluid communication with the drip chamber. The second electrode is configured to couple to the fluid line in fluid communication with the drip chamber.
The at least one processor is operatively coupled to the first and second electrodes to measure a capacitance therebetween, and the at least one processor is configured to monitor the capacitance. The at least one processor may be configured to determine if a streaming condition exists within the drip chamber using the monitored capacitance.
In yet another embodiment of the present disclosure, a safety valve includes a housing, first and second occluding arms, first and second axles, and a spring. The housing is configured to hold a tube. The first and second occluding arms are pivotally coupled together. The first axle is pivotally coupled to a distal end of the first occluding arm. The second axle is pivotally coupled to a distal end of the second occluding arm. The spring is disposed adjacent to the first and second occluding arms on an opposite side to the tube configured to spring load the first and second occluding arm. The safety valve is configured to discharge the spring and occlude the tube when the first and second occluding arms pivot away from the spring along their common pivot by a predetermined amount. A solenoid may be used to engage the first and second occluding arms to discharge the spring.
In yet another embodiment of the present disclosure, an apparatus includes a coupler, a support member, and at least one processor. The coupler is adapted to couple to a drip chamber. The support member is operatively coupled to the coupler. The image sensor has a field of view and is operatively coupled to the support member. The image sensor is configured to view the drip chamber within the field of view. The at least one processor is operatively coupled to the image sensor to receive image data therefrom, and the at least one processor is configured to: (1) capture an image of the drip chamber; (2) position a template within the captured image to a first position; (3) average the pixels within the template to determine a first average; (4) move the template to a second position; (5) average the pixels within the template to determine a second average; (6) determine that the template is located at an edge of a drop if a difference between the second average and the first average is greater than a predetermined threshold value; (7) and correlate the second position with a volume of the drop.
In yet another embodiment of the present disclosure, a method implemented by at least one processor executing an operative set of processor executable instructions configured for being executed by the at least one processor for estimating a flow rate is disclosed. The method includes: (1) capturing an image of the drip chamber; (2) positioning a template within the captured image to a first position; (3) averaging the pixels within the template to determine a first average; (4) moving the template to a second position; (5) averaging the pixels within the template to determine a second average; (6) determining that the template is located at an edge of a drop if a difference between the second average and the first average is greater than a predetermined threshold value; and (7) correlating the second position with a volume of the drop.
In yet another embodiment of the present disclosure, a flow meter includes a coupler, a support member, a modulatable backlight assembly, an image sensor, and at least one processor. The coupler is adapted to couple to a drip chamber. The support member is operatively coupled to the coupler. The modulatable backlight assembly is configured to provide a first backlight and a second backlight. The image sensor has a field of view and is operatively coupled to the support member. The image sensor is configured to view the drip chamber within the field of view and the modulatable backlight assembly. The at least one processor is operatively coupled to the image sensor and the modulatable backlight assembly such that the at least one processor receives data from the image sensor having at least a portion of the modulatable backlight assembly represented therein, and the at least one processor is configured to modulate the backlight assembly to the first backlight when estimating a drop size and to modulate the backlight assembly to the second backlight. The first backlight may be a diffuser backlight having no pattern and the second backlight may be a diffuser backlight having a striped pattern.
In yet another embodiment of the present disclosure, a tube restorer includes first and second gears. The second gear is disposed abutted against the first gear. The first and second gears define a space along radial portions of the first and second gears to allow a tube to flex therebetween. The first and second gears are further configured to restore the tube when rotated such that the space is not positioned between the first and second gears.
In yet another embodiment of the present disclosure, a valve includes first and second metallic strips, and first and second guiding members. The first guiding member is coupled to distal ends of the first and second metallic strips. The second guiding member is coupled to proximal ends of the first and second metallic strips. The first and second metallic strips are configured to compress a tube when the distal ends of the first and second metallic strips are actuated towards the proximal ends of the first and second metallic strips. The valve may further include a string (e.g., a metal string or a string made of any other material) threaded through the first and second metallic strips to spiral around the tube.
In yet another embodiment of the present disclosure, a valve includes first and second clamshells configured to provide a cavity between the first and second clamshells. The first and second clamshells are configure to receive a tube therebetween and within the cavity. The valve also includes a bladder disposed within the cavity and a pump configured to inflate or deflate the bladder to regulate flow of fluid within the tube.
In yet another embodiment of the present disclosure, an apparatus includes a coupler, a support member, an image sensor, and at least one processor. The coupler is adapted to couple to a drip chamber. The support member is operatively coupled to the coupler. The image sensor has a field of view and is operatively coupled to the support member. The image sensor is configured to view the drip chamber within the field of view.
The at least one processor is operatively coupled to the image sensor to receive image data therefrom and is configured to: (1) capture a first image; (2) create a first thresholded image from the first image by comparing each pixel of the first image to a threshold value; (3) determine a set of pixels within the first thresholded image connected to a predetermined set of pixels within the first thresholded image; (4) filter all remaining pixels of the first thresholded image that are not within the set of pixels, the filter operates on a pixel-by-pixel basis within the time domain to generate a first filtered image; (5) remove pixels determined to not be part of a drop from the first thresholded image using the first filtered image to generate a second image; (6) determine a second set of pixels within the second image connected to a predetermined set of pixels within the second image to generate a third image, the third image identifies the second set of pixels within the second image; (7) determine a first length of the drop by counting the number of rows containing pixels corresponding to the second set of pixels within the third image, the first length corresponding to a first estimated drop size; (8) update a background image using the first image; (9) create a second thresholded image by comparing the first image with the background image; (10) sum the rows of the second thresholded image to create a plurality of row sums, each row sum corresponds to a row of the second thresholded image; (11) start at a row position of the second thresholded image having a first sum of the plurality of sums that corresponds to the first length; (12) increment the row position until the row position corresponds to a corresponding row sum that is zero; (13) determine a second length is equal to the present row position, the second length corresponding to a second estimated drop size; and (14) average the first and second lengths to determine an average length, the average length corresponding to a third estimated drop size.
In yet another embodiment of the present disclosure, a method implemented by at least one processor executing an operative set of processor executable instructions configured for being executed by the at least one processor for estimating a flow rate includes: (1) capturing a first image; (2) creating a first thresholded image from the first image by comparing each pixel of the first image to a threshold value; (3) determining a set of pixels within the first thresholded image connected to a predetermined set of pixels within the first thresholded image; (4) filtering all remaining pixels of the first thresholded image that are not within the set of pixels, the filter operates on a pixel-by-pixel basis within the time domain to generate a first filtered image; (5) removing pixels determined to not be part of a drop from the first thresholded image using the first filtered image to generate a second image; (6) determining a second set of pixels within the second image connected to a predetermined set of pixels within the second image to generate a third image, the third image identifies the second set of pixels within the second image; (7) determining a first length of the drop by counting the number of rows containing pixels corresponding to the second set of pixels within the third image, the first length corresponding to a first estimated drop size; (8) updating a background image using the first image; (9) creating a second thresholded image by comparing the first image with the background image; (10) summing the rows of the second thresholded image to create a plurality of row sums, each row sum corresponds to a row of the second thresholded image; (11) starting at a row position of the second thresholded image having a first sum of the plurality of sums that corresponds to the first length; (12) incrementing the row position until the row position corresponds to a corresponding row sum that is zero; (13) determining a second length is equal to the present row position, the second length corresponding to a second estimated drop size; and (14) averaging the first and second lengths to determine a average length, the average length corresponding to a third estimated drop size.
In yet another embodiment of the present disclosure, a flow meter includes a coupler, a support member, first and second loop antennas, and at least one processor. The coupler is adapted to couple to a drip chamber. The support member is operatively coupled to the coupler. The first loop antenna is disposed adjacent to a fluid line in fluid communication with the drip chamber. The second loop antenna is disposed adjacent to the fluid line. The at least one processor is operatively coupled to the first and second loop antennas to measure a magnetic coupling therebetween. The at least one processor is configured to monitor the magnetic coupling therebetween to determine if a streaming condition exists within the drip chamber.
In yet another embodiment of the present disclosure, a method implemented by an operative set of processor executable instructions includes: (1) determining a plurality of points of interest in an image; (2) randomly selecting N-points of interest of the plurality of points of interest; and/or (3) identifying a single, unique, geometric feature characterized by N-parameters corresponding to N-points of interest.
In yet another embodiment of the present disclosure, a system includes a non-transitory memory and one or more processors. The non-transitory memory has stored thereon a plurality of instructions. The one or more processors are in operative communication with the non-transitory memory to execute the plurality of instructions. The plurality of instructions is configured to cause the processor to: (1) determine a plurality of points of interest in an image; (2) randomly select N-points of interest of the plurality of points of interest; and/or (3) identify a single, unique, geometric feature characterized by N-parameters corresponding to N-points of interest.
These and other aspects will become more apparent from the following detailed description of the various embodiments of the present disclosure with reference to the drawings wherein:
A flow meter 7 monitors the drip chamber 4 to estimate a flow rate of liquid flowing through the drip chamber 4. The fluid from the drip chamber 4 is gravity fed into a valve 6. The valve 6 regulates (i.e., varies) the flow of fluid from the fluid reservoir 2 to the patient 3 by regulating fluid flow from the drip chamber 4 to the patient 3. The valve 6 may be any valve as described herein, including a valve having two curved-shaped members, a valve having two flexible sheets, a valve that pinches (or uniformly compresses) on the tube over a significant length of the tube, or the like. The valve 6 may be an inverse-Bourdon-tube valve that works in an opposite way of a Bourdon tube in that a deformation of the fluid path causes changes in fluid flow rather than fluid flow causing deformation of the fluid path.
In alternative embodiments, the system 1 optionally includes an infusion pump 414 (e.g., a peristaltic pump, a finger pump, a linear peristaltic pump, a rotary peristaltic pump, a cassette-based pump, a membrane pump, other pump, etc.) coupled to the fluid tube 5. The outlined box designated as 414 represents the optional nature of the infusion pump 414, e.g., the infusion pump may not be used in some embodiments. The infusion pump 414 may use the flow meter 7 as feedback to control the flow of fluid through the fluid tube 5. The infusion pump 414 may be in wireless communication with the flow meter 7 to receive the flow rate therefrom. The infusion pump 414 may use a feedback control algorithm (e.g., the control component 14 of
In some embodiments, the fluid reservoir 2 is pressurized to facilitate the flow of fluid from the fluid reservoir 2 into the patient 3, e.g., in the case where the fluid reservoir 2 (e.g., an IV bag) is below the patient 3; The pressurization provides sufficient mechanical energy to cause the fluid to flow into the patient 3. A variety of pressure sources, such as physical pressure, mechanical pressure, and pneumatic pressure may be applied to the inside or outside of the fluid reservoir 2. In one such embodiment, the pressurization may be provided by a rubber band wrapped around an IV bag.
The flow meter 7 and the valve 6 may form a closed-loop system to regulate fluid flow to the patient 3. For example, the flow meter 7 may receive a target flow rate from a monitoring client 8 by communication using transceivers 9, 10. That is, the transceivers 9, 10 may be used for communication between the flow meter 7 and the monitoring client 8. The transceivers 9, 10 may communicate between each other using a modulated signal to encode various types of information such as digital data or an analog signal. Some modulation techniques used may include using carrier frequency with FM modulation, using AM modulation, using digital modulation, using analog modulation, or the like.
The flow meter 7 estimates the flow rate through the drip chamber 4 and adjusts the valve 6 to achieve the target flow rate received from the monitoring client 8. The valve 6 may be controlled by the flow meter 7 directly from communication lines coupled to an actuator of the valve 6 or via a wireless link from the flow meter 7 to onboard circuitry of the valve 6. The onboard electronics of the valve 6 may be used to control actuation of the valve 6 via an actuator coupled thereto. This closed-loop embodiment of the flow meter 7 and the valve 6 may utilize any control algorithm including a PID control algorithm, a neural network control algorithm, a fuzzy-logic control algorithm, the like, or some combination thereof.
The flow meter 7 is coupled to a support member 17 that is coupled to the drip chamber 4 via a coupler 16. The support member 17 also supports a backlight 18. The backlight 18 includes an array of LEDs 20 that provides illumination to the flow meter 7. In some specific embodiments, the backlight 18 includes a background pattern 19. In other embodiments, the backlight 18 does not include the background pattern 19. In some embodiments, the background pattern 19 is present in only the lower portion of the backlight 18 and there is no background pattern 19 on the top (e.g., away from the ground) of the backlight 18.
The flow meter 7 includes an image sensor 11, a free flow detector component 12, a flow rate estimator component 13, a control component 14, an exposure component 29, a processor 15, and a transceiver 9. The flow meter 7 may be battery operated, may be powered by an AC outlet, may include supercapacitors, and may include on-board, power-supply circuitry (not explicitly shown).
The image sensor 11 may be a CCD sensor, a CMOS sensor, or other image sensor. The image sensor 11 captures images of the drip chamber 4 and communicates image data corresponding to the captured images to the processor 15.
The processor 15 is also coupled to the free flow detector component 12, the flow rate estimator component 13, the control component 14, and the exposure component 29. The free flow detector component 12, the flow rate estimator component 13, the control component 14, and the exposure component 29 may be implemented as processor-executable instructions that are executable by the processor 15 and may be stored in memory, such as a non-transitory, processor-readable memory, ROM, RAM, EEPROM, a harddisk, a harddrive, a flashdrive, and the like.
The processor 15 can execute the instructions of the free flow detector component 12 to determine if a free flow condition exists within the drip chamber 4 by analyzing the image data from the image sensor 11. Various embodiments of the free flow detector component 12 for detecting a free flow condition are described below. In response to a detected free flow condition, the processor 15 can make a function call to the control component 14 to send a signal to the valve 6 to completely stop fluid flow to the patient 3. That is, if the free flow detector component 12 determines that a free flow condition exists, the flow meter 7 may instruct the valve 6 to stop fluid flow, may instruct the monitoring client 8 to stop fluid flow (which may communicate with the valve 6 or the pump 414), and/or may instruct the pump 414 to stop pumping or occlude fluid flow using an internal safety occluder.
The flow rate estimator component 13 estimates the flow rate of fluid flowing through the drip chamber 4 using the image data from the image sensor 11. The processor 15 communicates the estimated flow rate to the control component 14 (e.g., via a function call). Various embodiments of estimating the flow rate are described below. If the flow rate estimator component 13 determines that the flow rate is greater than a predetermined threshold or is outside a predetermined range, the flow meter 7 may instruct the valve 6 to stop fluid flow (which may communicate with the valve 6 or the pump 414), may instruct the monitoring client 8 to stop fluid flow (which may communicate with the valve 6 or the pump 414), and/or may instruct the pump 414 to stop pumping or occlude fluid flow using an internal safety occluder.
The processor 15 controls the array of LEDs 20 to provide sufficient light for the image sensor 11. For example, the exposure component 29 may be used by the processor 15 or in conjunction therewith to control the array of LEDs 20 such that the image sensor 11 captures image data sufficient for use by the free flow detector component 12 and the flow rate estimator component 13. The processor 15 may implement an exposure algorithm stored by the exposure component 29 (see
The control component 14 calculates adjustments to make to the valve 6 in accordance with the estimated flow rate from the flow rate estimator component 13. For example and as previously mentioned, the control component 14 may implement a PID control algorithm to adjust the valve 6 to achieve the target flow rate.
The monitoring client 8, in some embodiments, monitors operation of the system 1. For example, when a free flow condition is detected by the free flow detector component 12, the monitoring client 8 may wirelessly communicate a signal to the valve 6 to interrupt fluid flow to the patient 3.
The flow meter 7 may additionally include various input/output devices to facilitate patient safety, such as various scanners, and may utilize the transceiver 9 to communicate with electronic medical records, drug error reduction systems, and/or facility services, such as inventory control systems.
In a specific exemplary embodiment, the flow meter 7 has a scanner, such as an RFID interrogator that interrogates an RFID tag attached to the fluid reservoir 2 or a barcode scanner that scans a barcode of the fluid reservoir 2. The scanner may be used to determine whether the correct fluid is within the fluid reservoir 2, it is the correct fluid reservoir 2, the treatment programmed into the flow meter 7 corresponds to the fluid within the fluid reservoir 2 and/or the fluid reservoir 2 and flow meter 7 are correct for the particular patient (e.g., as determined from a patient's barcode, a patient's RFID tag, or other patient identification).
For example, the flow meter 7 may scan the RFID tag of the fluid reservoir 2 to determine if a serial number or fluid type encoded within the RFID tag is the same as indicated by the programmed treatment stored within the flow meter 7. Additionally or alternatively, the flow meter 7 may interrogate the RFID tag of the fluid reservoir 2 for a serial number and the RFID tag of the patient 3 for a patient serial number, and also interrogate the electronic medical records using the transceiver 9 to determine if the serial number of the fluid reservoir 2 within the RFID tag attached to the fluid reservoir 2 matches the patient's serial number within the RFID tag attached to the patient 3 as indicated by the electronic medical records.
Additionally or alternatively, the monitoring client 8 may scan the RFID tag of the fluid reservoir 2 and the RFID tag of the patient 3 to determine that it is the correct fluid within the fluid reservoir 2, it is the correct fluid reservoir 2, the treatment programmed into the flow meter 7 corresponds to the fluid within the fluid reservoir 2, and/or the fluid reservoir 2 is correct for the particular patient (e.g., as determined from a patient's barcode, RFID tag, electronic medical records, or other patient identification or information). Additionally or alternatively, the monitoring client 8 or the flow meter 7 may interrogate the electronic medical records database and/or the pharmacy to verify the prescription or to download the prescription, e.g., using the serial number of the barcode on the fluid reservoir 2 or the RFID tag attached to the fluid reservoir 2.
Act 22 selects a region of interest. For example, referring again to
Act 23 determines if a pixel is within the region of interest 23. If the pixel of act 23 is a pixel that images, for example, the drip chamber 4, then act 23 determines that it is within the region of interest. Likewise, in this example, if the pixel of act 23 is a pixel that does not image the drip chamber 4, act 23 determines that the pixel is not within the region of interest.
Act 24 activates a backlight, e.g., the backlight 18 of
In some embodiments of the present disclosure, a subset of LEDs of the backlight (e.g., a subset of the LED array 20, which may be a 2-dimensional array) may be turned on. The subset may be a sufficient subset to sufficiently illuminate the pixel being exposed if the pixel is within the region of interest.
Act 25 exposes the pixel. If in act 23 it was determined that the pixel is within the region of interest, the pixel will be exposed with at least a portion of the backlight turned on in act 25. Additionally, if in act 23 it was determined that the pixel is not within the region of interest, the pixel will be exposed without at least a portion of the backlight turned on in act 25.
The motor 72 may be a servo motor and may be used to adjust the flow rate through the tube 70. That is, the flow meter 67 may also function as a flow meter and regulator. For example, a processor 75 within the flow meter 67 may adjust the motor 72 such that a desired flow rate is achieved as measured by the optical drip counter 68. The processor 75 may implement a control algorithm using the optical drip counter 68 as feedback, e.g., a PID control loop with the output supplied to the motor 72 and the feedback received from the optical drip counter 68.
In alternative embodiments, the motor 72, the lead screw mechanism 73, and the roller clamp 71 may be replaced and/or supplemented by an actuator that squeezes the tube 70 (e.g., using a cam mechanism or linkage driven by a motor) or they may be replaced by any sufficient roller, screw, or slider driven by a motor. For example, in some embodiments of the present disclosure, the roller clamp 71 may be replaced by any valve as described herein, including a valve having two C-shaped members, a valve having two curve-shaped support members, a valve having two flexible sheets, a valve that pinches on the tube over a significant length of the tube, or the like.
The flow meter 67 may also optionally include a display. The display may be used to set the target flow rate, display the current flow rate, and/or provide a button, e.g., a touch screen button to stop the flow rate.
The imaging system 78 of
System 78 also includes a processor 90 that may be operatively coupled to the image sensor 63 and/or the uniform backlight 79. The processor 90 implements an algorithm to determine when a free flow condition exists and/or to estimate a flow rate (e.g., using the free flow detector component 12 or the flow rate estimator component 13 of
The uniform backlight 79 may be an array of light-emitting diodes (“LEDs”) having the same or different colors, a light bulb, a window to receive ambient light, an incandescent light, and the like. In some embodiments, the uniform backlight 79 may include one or more point-source lights.
The processor 90 may modulate the uniform backlight 79 in accordance with the image sensor 63. For example, the processor 90 may activate the uniform backlight 79 for a predetermined amount of time and signal the image sensor 63 to capture at least one image, and thereafter signal the uniform backlight 79 to turn off. The one or more images from the image sensor 63 may be processed by the processor 90 to estimate the flow rate and/or detect free flow conditions. For example, in one embodiment of the present disclosure, the system 78 monitors the size of the drops being formed within the drip chamber 59, and counts the number of drops that flow through the drip chamber 59 within a predetermined amount of time; the processor 90 may average the periodic flow from the individual drops over a period of time to estimate the flow rate. For example, if X drops each having a volume Y flow through the drip chamber in a time Z, the flow rate may be calculated as (X*Y)/Z.
Additionally or alternatively, the system 78 may determine when the IV fluid is streaming through the drip chamber 59 (i.e., during a free flow condition). The uniform backlight 79 shines light through the drip chamber 59 to provide sufficient illumination for the image sensor 63 to image the drip chamber 59. The image sensor 63 can capture one or more images of the drip chamber 59.
Other orientations and configurations of the system 78 may be used to account for the orientation and output characteristics of the uniform backlight 79, the sensitivity and orientation of the image sensor 63, and the ambient light conditions. In some embodiments of the present disclosure, the processor 90 implements an algorithm that utilizes a uniformity of the images collected by the image sensor 63. The uniformity may be facilitated by the uniform backlight 79. For example, consistent uniform images may be captured by the image sensor 63 when a uniform backlight 79 is utilized.
Ambient lighting may cause inconsistencies in the images received from the image sensor 63; for example, direct solar illumination provides inconsistent lighting because the sun may be intermittently obscured by clouds and the sun's brightness and angle of illumination depend upon the time of the day. Therefore, in some embodiments of the present disclosure, an IR filter 80 is optionally used to filter out some of the ambient light to mitigate variations in the images captured by the image sensor 63. The IR filter 80 may be a narrow-band infrared light filter placed in front of the image sensor 63; and the uniform backlight 79 may emit light that is about the same wavelength as the center frequency of the passband of the filter 80. The IR filter 80 and the uniform backlight 79 may have a center frequency of about 850 nanometers. In some embodiments, the imaging system 78 may be surrounded by a visually translucent, but IR-blocking, shell. In alternative embodiments, other optical frequencies, bandwidths, center frequencies, or filter types may be utilized in the system 78.
System 84 includes an array of lines 85 that are opaque behind the drip chamber 59. System 84 uses the array of lines 85 to detect a free flow condition. The free flow detection algorithm (e.g., the free flow detector component 12 of
In some specific embodiments, the lines 85 are only present on a fraction of the image (e.g., the background pattern only occupies a fraction of the backlight 18 or the binary optics only causes the pattern to appear in a fraction of the image, such as the lower or upper half). For example, a lower fraction of the image may include a background pattern of stripes.
Referring now to
In some embodiments of the present disclosure, illumination by light having an optical wavelength of about 850 nanometers may be used to create the image 86. Some materials may be opaque in the visible spectrum and transparent in the near IR spectrum at about 850 nanometers and therefore may be used to create the array of lines 85. The array of lines 85 may be created using various rapid-prototyping plastics. For example, the array of lines 85 may be created using a rapid-prototype structure printed with an infrared-opaque ink or coated with a metal for making the array of lines 85. Additionally or alternatively, in some embodiments of the present disclosure, another method of creating the array of lines 85 is to create a circuit board with the lines laid down in copper. In another embodiment, the array of lines 85 is created by laying a piece of ribbon cable on the uniform backlight 79; the wires in the ribbon cable are opaque to the infrared spectrum, but the insulation is transparent such that the spacing of the wires may form the line for use during imaging by the image sensor 63 (see
The processor 90 implements an algorithm to determine when a free flow condition exists (e.g., using the free flow detector component 12 of
Referring again to
The following algorithm implemented by the processor 90 and received from the processor-readable memory 91 may be used to determine when a free flow condition exists: (1) establish a background image 89 (see
In some embodiments of the present disclosure, the background image 89 of
When the system 84 has no water flowing through the drip chamber 59 (see
For example, consider three respective pixels of
When it is determined that a few high-contrast spots exist within the image 94 of
Referring now to only
That is, as shown in
In yet an additional embodiment of the present disclosure, the intensity, the intensity squared, or other function may be used to produce the results 183 of
For example, an image of the image sensor 63 of
In some embodiments, a predetermined range of contiguous values above a threshold (e.g., min and max ranges) of the summed rows of intensity values or intensity squared values may be used by the processor 90 to determine if a drop of liquid is within the image. For example, each row of the rows of the intensity values (or the intensity squared values) may be summed together and a range of the summed values may be above a threshold number; if the range of contiguous values is between a minimum range and a maximum range, the processor 90 may determine that the range of contiguous values above a predetermined threshold is from a drop within the field of view of the image sensor 63 (see
The following describes a smoothing function similar to the cubic spline (i.e., the cubic-spline-type function) that may be used on the summed rows, the summed rows of intensity values, or the summed rows of the intensity values squared prior to the determination by the processor 90 to determine if a free flow condition exits. In some specific embodiments, the cubic-spline-type function may be used to identify blocks, as described infra, which may facilitate the processor's 90 identification of free flow conditions.
The cubic-spline-type function is an analog to the cubic spline, but it smoothes a data set rather than faithfully mimics a given function. Having data sampled on the interval from [0,1] (e.g., the summation along a row of intensity squared or intensity that is normalized) the processor 90 (see
The standard cubic spline definition is illustrated in Equation (1) as follows:
x(x)=Ai(x)yi+Bi(x)yi+1+Ci(x)yi″+Di(x)yi+1″ xi≤x≤xi+1 (1),
with the functions Ai, Bi, Ci, Di defined as in the set of Equations (2):
The Equations (1) and (2) guaranty continuity and curvature continuity. The only values which can be freely chosen are yi, y0″ and yN″. Please note that Equation (3) is chosen as follows:
y0″=yi″=0 (3),
i.e., the function is flat at 0 and 1. The remaining yi″ must satisfy the following set of Equations (4):
The set of Equations (4) can be rewritten as the set of Equations (5) as follows:
In turn, this becomes the matrix Equation (6):
The matrix Equation (6) may be rewritten as the set of Equations (7) as follows:
Fydd=Gy
Ydd=F−1Gy=Hy (7).
Choosing the values in the vector y using a least squares criterion on the collected data is shown in Equation (8) as follows:
E=Σ[ψk−Ai
Equation (8) is the minimum deviation between the data and the spline, i.e., Equation (8) is an error function. The y values are chosen to minimize the error as defined in Equation (8). The vector of predicted values can be written as illustrated in Equation (9) as follows:
The elements of the matrix in brackets of Equation (9) depend upon the x-value corresponding to each data point (but this is a fixed matrix). Thus, the final equation can be determined using the pseudo-inverse. In turn, the pseudo-inverse only depends upon the x-locations of the data set and the locations where the breaks in the cubic spline are set. The implication of this is that once the geometry of the spline and the size of the image are selected, the best choice for y given a set of measured values ym is illustrated in Equation (10) as follows:
y=(ATA)−1A·ym (10).
The cubic spline through the sum intensity-squared function of the image will then be given by Equation (11) as follows:
Ycs=A·y (11).
Because the maximum values of the cubic spline are of interest, the derivative of the cubic spline is determined and utilized to determine the maximum values of the cubic spline. The cubic spline derivative is given by Equation (12) as follows:
Equation (12) can be written as Equation (13) as follows:
Once the current values of y are found, the cubic spline, ycs, and its derivative, y′cs, can be calculated. The cubic spline data may include “blocks” of data that includes values above a predetermined threshold. A pipe block is formed by the liquid flowing out of the tube into the drip chamber 59 and a pool block is formed as the liquid collects at the gravity end of the drip chamber 59 (see
The following algorithm may be applied to the cubic spline data: (1) determine the local maxima of the cubic spline data using the derivative information; (2) determine the block surrounding each local maxima by including all points where the cubic spline value is above a threshold value; (3) merge all blocks which intersect; (4) calculate information about the block of data including the center of mass (intensity), the second moment of the mass (intensity), the lower x-value of the block, the upper x-value of the block, the mean value of the original sum of intensity squared data in the block, the standard deviation of the original sum of intensity squared data in the block, and the mean intensity of a high-pass filtered image set in the block; and (5) interpret the collected data to obtain information about when drops occur and when the system is streaming.
The mean intensity of a high-pass filtered image set in the block is used to determine if the block created by each contiguous range of spline data is a result of a high frequency artifact (e.g., a drop) or a low frequency artifact. This will act as a second background filter which tends to remove artifacts such as condensation from the image. That is, all previous images in an image memory buffer (e.g., 30 previous frames, for example) are used to determine if the data is a result of high frequency movement between frames. If the block is a result of low frequency changes, the block is removed, or if it is a result of high frequency changes, the block is kept for further analysis. A finite impulse response filter or an infinite impulse response filter may be used.
Each block is plotted over its physical extent with the height equal to the mean value of the data within the block. If a block has a mean value of the high-pass filtered image less than the threshold, it is an indication that it has been around for several images and thus may be removed.
Free flow conditions may be determined by the processor 90 (see
Various filtering algorithms may be used to detect condensation or other low frequency artifacts, such as: if a block has a low mean value in the high-pass filtered image, then it may be condensation. This artifact can be removed from consideration. Additionally or alternatively, long blocks (e.g., greater than a predetermined threshold) with a low high-pass mean value are possibly streams because stream images tend to remain unchanging; the processor 90 may determine that long blocks greater than a predetermined threshold corresponds to a streaming condition. Additionally or alternatively, an algorithm may be used on the current image to detect free flow conditions.
The processor 90 may, in some specific embodiments, use the block data to count the drops to use the system 84 as a drop counter. The processor 90 may also use width changes in the pool block as a drop disturbs the water to determine if a bubble formed when the drop hits the pool. For example, the processor 90 may determine that blocks that form below the pool block are from bubbles that formed when the drop hit the water. The bubble may be filtered out by the processor 90 when determining if a predetermined value of total block ranges indicates that a free flow condition exists.
In some embodiments of the present disclosure, the depth of field of the system 84 may have a narrow depth of field to make the system 84 less sensitive to condensation and droplets on the chamber walls. In some embodiments, a near focus system may be used.
Referring now to
where:
T′(x′,y′)=T(x′,y′)−1/(w·h)·Σy″,y″T(x″,y″)
I′(x+x′,y+y′)=I(x+x′,y+y′)−1/(w·h)·Σx″,y″I(x+x″,y+y′);
The I denotes the image, the T denotes the template, and the R denotes the results. The summation is done over the template and/or the image patch, such that: x′=0 . . . w−1 and y′=0 . . . h−1.
The results R can be used to determine how much the template T is matched at a particular location within the image I as determined by the algorithm. The OpenCV template match method of CV_TM_CCOEFF_NORMED uses the pattern matching algorithm illustrated in Equation (15) as follows:
In another embodiment of the present disclosure, the template matching algorithm uses a Fast Fourier Transform (“FFT”). In some embodiments, any of the methods of the matchTemplate( ) function of OpenCV may be used, e.g., CV_TM_SQDIFF, CV_TM_SQDIFF_NORMED, CV_TM_CCORR, and/or CV_TM_CCORR_NORMED.
The CV_TM_SQDIFF uses the pattern matching algorithm illustrated in Equation (17) as follows:
CV_TM_SQDIFF_NORMED uses the pattern matching algorithm illustrated in Equation (18) as follows:
CV_TM_CCORR uses the pattern matching algorithm illustrated in Equation (19) as follows:
CV_TM_CCORR_NORMED uses the pattern matching algorithm illustrated in Equation (20) as follows:
In yet another embodiment of the present disclosure, a template of a grayscale image of a free flow condition is compared to an image taken by the image sensor 63 of
Refer now to
One type of Hough transfer uses an algorithm described in Progressive Probabilistic Hough Transform by J. Matas, C. Galambos, and J. Kittler in 1998 (“Algorithm 1”). However, the following “Alternative Hough” transform may be utilized and is shown in pseudo code form in Table 1 (“Algorithm 2”). Algorithm 2 selects two pixels at random and calculates the Hough transform of the line passing through these two points. Algorithm 2 is shown in Table 1 as follows:
If the line comprises a proportion, p, of the total points, then the likelihood that we will see a result in the representative (r,θ)-bin is p for Algorithm 1 and p2 for Algorithm 2. Generally, in some embodiments, a proportion test has at least 5 positive results and 5 negative results. Assuming that it is more likely to see negative results than positive results, in some embodiments, the Algorithms 1 and 2 continue to search for lines until there are at least 5 positive results in a particular bin.
The probability of seeing a fifth positive result in Algorithm 1 after N≥5 tests is shown in Equation (21) as follows:
and the probability in Algorithm 2 is shown in Equation (22) as follows:
Table 2, shown below, shows the number of tries to have a 50% chance of seeing 5 successes, p1,50 and p2,50, as well as the number of tries to have a 90% chance of seeing 5 successes, p1,90 and p2,90.
Table 2 shows that the increase in the number of tries between Algorithm 1 and Algorithm 2 to see 5 positive results is approximately 1/p. There should be 1 positive result in 1/p trials when the proportion is p.
Algorithm 2's computationally expensive operation is, in some embodiments, the arc tangent function, which may be about 40 floating point CPU operations. There are approximately 2N floating point operations in Algorithm 1's equivalent step. The Hough transform of a 640×480 pixel image with full resolution has N equal to 2520, while the Hough transform of a 1080×1920 pixel image has N equal to 7020. This implies that Algorithm 2 has a speed advantage over Algorithm 1 when p is greater than 0.008 for a 640×480 image and when p is greater than 0.003 for a 1080×1920 image.
In some embodiments, it is assumed that every bin in the Hough transform space is equally likely to be occupied in the presence of noise. This simplification speeds up the thresholding decision; however, in some embodiments, this assumption is not true. The primary effect of the simplification is to underestimate the probability that is seen in values greater than one in the Hough transform with a corresponding likelihood of falsely declaring that a line exists. For a particular combination of image size and Hough transform bin arrangement, the true probabilities can be pre-computed. This allows the false alarm rate to be minimized without a corresponding increase in computation. With additional restrictions on the type of imagery, even more accurate estimates of the probability of seeing a value in a bin of the Hough transform is possible.
There are additional forms of the Hough transform which parameterizes different features. For example, there is a three-element parameterization of circles, (x,y,r), where x and y specify the center and r is the radius. Algorithm 2 can work using these parameterizations as well. For the circle example, Algorithm 2 would select three pixels at random and calculate the circle passing through them.
Algorithm 2 would have a similar speed advantage for features comprising a suitably large portion of the total pixels considered. It would also have a significant advantage in storage required, since the Hough transform could be stored in a sparse matrix, while the Algorithm 1's analog would require a full-size matrix.
Referring now to
Referring to
The method 214 of
The method 214 includes acts 200-213. Act 200 determines a baseline of a drop forming at an opening of a drip chamber. Act 201 captures a first image. The first image may be captured using a uniform backlight. In some embodiments, the first image may be captured using a background pattern and/or an exposure algorithm as described herein. Acts 200 and 201 may be performed simultaneously.
Act 202 identifies the drop within the first image and a predetermined band near an edge of the drop (e.g., the band may be a predetermined number of pixels beyond the edge of the drop). Act 203 initializes a background image by setting each pixel to the same value as the first image (for that respective location) unless it is within the identified drop or a predetermined band near the edge of the drop. Act 204 sets pixels within the region of the drop or within the predetermined band to a predetermined value.
For example, when the method creates the first background image, every pixel in the background image that is part of the drop or a band outside of an edge of the drop is set to a default threshold value, e.g. 140 out of an intensity range of 0-255.
Act 205 initializes the integers of the array of integers to zeros. Act 206 initializes the values within the array of variances to zeros. The integer array is the same size as the image. The integer array counts how often each pixel of the background image has been updated with new information and is initialized to all zeros. The array of variances (e.g., an array of the data type “double”) is also the same size as the background image and contains an estimate of the variance of the intensity of each pixel within the background image.
Act 207 captures another image, and act 208 identifies the drop in the another image and another predetermined band near an edge of the drop. Act 209 updates the background image, the array of integers, and the array of variances.
As additional images are captured, the background image may be updated. For example, when an image is collected by the system, the background algorithm evaluates every pixel. If a pixel is considered part of the drop or its guard band, then its value in the background image is not altered.
If a pixel is not considered part of the drop or its guard band: (1) if the pixel's corresponding integer in the integer array is zero, the pixel's value in the background image is set equal to the pixel's value in the input image; or (2) if the pixel's count is greater than 0, then the background image value for that pixel is updated using a low pass filter. In some embodiments, any style of filter may be used, such as a high pass filter, a bandpass filter, etc. One low pass filter that may be used is illustrated in Equation (23) as follows:
Pbackground,i,j=Pbackground,i,j(1−αbackground)+αbackgroundPinput,i,j (23).
In addition, the variance array may be updated using Equations (24) as follows:
σtemp2=(Pbackground,i,j−Pinput,i,j)2
σbackground,i,j2=σbackground,i,j2(1−βbackground)+βbackgroundσtemp2 (24).
Note that the filter used for both operations is an exponential filter; however, in additional embodiments, other suitable filters may be used, such as other low-pass filters. The variance estimate can be performed in any known way or using a stand in for the estimate, e.g., using standard deviation.
The new estimates of each pixel's background intensity (mean value), the number of images used to update each pixel's mean and variance, and each pixel's variance (e.g., an approximation to the true variance and/or a value that is proportional to the variance) are used to update the arrays. That is, each additional image captured may be used to update the background image, the array of integers, and the array of variances. After several images have been processed, the background image may appear as
Act 210 compares the another image (e.g., current or most recent image) to the background image and identifies a plurality of pixels of interest. Act 211 determines a subset of pixels within the plurality of pixels of interest that corresponds to a drop.
The comparison of act 210 compares the another image pixel-by-pixel to the background image. Out of this comparison comes an array the same size as the image where every pixel has a value of zero or not zero (255).
Act 210 may be implemented by the pseudo code shown in
When act 210 is implemented as an algorithm, the algorithm is initialized, and the input and output of this thresholding algorithm will look like the images in
After enough images have been gathered such that most (or all) of the pixels of the background image have been generated with a sufficient number of pixels, lines (3), (3a), and (3b) of
As previously mentioned, after act 210, act 211 determines which of a subset of pixels within the plurality of pixels of interest corresponds to a drop. Act 211 may be implemented by the pseudo code shown in
The binary image after processing the pseucode of
Once the algorithm has an initial white pixel, it performs the algorithm illustrated by the pseudo code shown in
This algorithm will set to white all output-pixel locations which can be connected to the input pixel's location by a continuous path of white input pixels. The left boundary of the drop is found by stepping through each row of pixels from the left edge until the algorithm hits a white pixel. The right boundary is found by stepping from the right edge of the image until it hits a white pixel. The first row where it is possible to step from the left edge to the right edge without hitting a white pixel is where the drop is considered to end.
The pseudo code shown in
Act 212 of
Imaging System Optics
The image sensor may have the blur circle of a point imaged in the range of the image sensor entirely contained within the area of a single pixel. The focal length of the image-sensor lens may be 1.15 millimeters, the F # may be 3.0, and the aperture of the lens of the image sensor may be 0.3833 millimeter. A first order approximation of the optical system of one or more of the image sensors may be made using matrix equations, where every ray, r, is represented as the vector described in Equation (25) as follows:
In Equation (25) above, h is the height of the ray at the entrance to the image sensor, and θ is the angle of the ray. Referring to
To find the place on the focal plane, fp, where the ray strikes, a matrix multiplication as described in Equation (27) as follows may be used:
As illustrated in
As shown in
The image sensor may utilize a second lens. For example, an image sensor may utilize a second lens to create a relatively larger depth of field and a relatively larger field of view. The depth of field utilizing two lenses can be calculated using the same analysis as above, but with the optical matrix modified to accommodate for the second lens and the additional distances, which is shown in Equation (29) as follows:
As shown in
For example, the following analysis shows how the depth of field can be set for an image sensor using a lens of focal length, f, a distance, z, from the focal plane, and a distance, d, from a point in space; a matrix of the system is shown in Equation (30) as follows:
Equation (30) reduces to Equation (31) as follows:
Equation (31) reduces to Equation (32) as follows:
Considering the on-axis points, all of the heights will be zero. The point on the focal plane where different rays will strike is given by Equation (33) as follows:
As shown above in (33), θ is the angle of the ray. The point in perfect focus is given by the lens maker's equation given in Equation (34) as follows:
Equation (34) may be rearranged to derive Equation (35) as follows:
Inserting d from Equation (35) into Equation (33) to show the striking point results in Equation (36) as follows:
All rays leaving this point strike the focal plane at the optical axis. As shown in Equation (37), the situation when the image sensor is shifted by a distance δ from the focus is described as follows:
Equation (37) shows that by properly positioning the lens of the image sensor with respect to the focal plane, we can change the depth of field. Additionally, the spot size depends upon the magnitude of the angle θ. This angle depends linearly on the aperture of the vision system created by the image sensor.
Additionally or alternatively, in accordance with some embodiments of the present disclosure, an image sensor may be implemented by adjusting for various parameters, including: the distance to the focus as it affects compactness, alignment, and sensitivity of the vision system to the environment; the field of view of the system; and the lens-focal plane separation as it affects the tolerances on alignment of the system and the sensitivity of the system to the environment.
Embodiments of the Flow Meter with or without Valves Connected Thereto
Referring to the drawings,
The flow meter 58 optionally includes image sensors 63 and 64 that can estimate fluid flow and/or detect free flow conditions. Although the flow meter 58 includes two image sensors (e.g., 63 and 64), only one of the image sensors 63 and 64 may be used in some embodiments. The image sensors 63 and 64 can image a drop while being formed within the drip chamber 59 and estimate its size. The size of the drop may be used to estimate fluid flow through the drip chamber 59. For example, in some embodiments of the present disclosure, the image sensors 63 and 64 use an edge detection algorithm to estimate the outline of the size of a drop formed within the drip chamber 59; a processor therein (see processor 15 of
In another embodiment of the present disclosure, the image sensors 63 and 64 image the fluid to determine if a free flow condition exists. The image sensors 63 and 64 may use a background pattern to determine if the fluid is freely flowing (i.e., drops are not forming and the fluid streams through the drip chamber 59). As previously mentioned, although the flow meter 58 includes two image sensors (e.g., 63 and 64), only one of the image sensors 64 and 64 may be used in some embodiments to determine if a free flow condition exists and/or to estimate the flow of fluid through the drip chamber.
Additionally or alternatively, in some embodiments of the present disclosure, another image sensor 65 monitors the fluid tube 66 to detect the presence of one or more bubbles within the fluid tube. In alternative embodiments, other bubble detectors may be used in place of the image sensor 65. In yet additional embodiments, no bubble detection is used in the flow meter 58.
Referring now to the drawings,
The flow meter 218 may electronically transmit a flow rate to a monitoring client 8 (see
In some embodiments, the flow meter 218 may be coupled to an actuator which is coupled to a valve (not shown in
The flow meter 218 may use any flow algorithm described herein and may include any imaging system described herein. Additionally or alternatively, the flow meter 218 may include a free flow detector component (e.g., the free flow detector component 12 of
The image sensor 227 images a drip chamber 229 and can receive illumination from the backlight 228. The flow meter 224 includes a support member 230 coupled to a coupler 231 that couples the drip chamber 229 to the flow meter 224.
The flow meter 224 may implement any flow rate estimator described herein (e.g., the flow rate estimator component 13 of
The pinch valve 225, as is more easily seen in
The flow meter 339 includes an image sensor 227 and a backlight 228. The image sensor 227 images a drip chamber 229 and can receive illumination from the backlight 228. The flow meter 339 includes a support member 230 coupled to a coupler 231 that couples the drip chamber 229 to the flow meter 339.
The flow meter 339 can implement any flow rate estimator described herein (e.g., the flow rate estimator component 13 of
The flow meter 339 may actuate the actuator 341 to actuate the valve 340, which thereby regulates the fluid flowing through the IV tube 335 in a feedback (i.e., closed-loop) configuration using any control algorithm.
Referring now to
The inner support member 343 includes a barrel nut 344. The outer support member 342 is coupled to the barrel nut 344 via hooks 345. In some embodiments, the barrel nut 344 is not coupled to the valve 340 and the inner support member 342 includes a hole for the threaded rod or screw 347 to slide through. The outer support member 342 also has hooks 348 to secure it to a frame 349 of the actuator 341. The actuator 341 includes a shaft 346 coupled to a screw 347. As the actuator 341 rotates the shaft 346, the screw 347 can rotate to push the barrel nut 334 toward the actuator 341. That is, the hooks 345 and the barrel nut 334 move toward the hooks 348 and the frame 349 because the inner and outer support members 342 and 343 are flexible.
As the support members 342 and 343 are compressed, the tube 335 becomes compressed because it is positioned between the support members 342 and 343. Compression of the tube 335 restricts the flow of fluid through the tube 335. The valve 340 compresses a length of the tube 335 that is substantially greater than the diameter of the tube 335.
The flow meter 350 includes an image sensor 355 and a backlight 356 that can monitor drops formed within the drip chamber 357. The flow meter 350 may use the image sensor 355 to implement a flow rate estimator algorithm described herein (e.g., the flow rate estimator component 13 of
The flow meter 350 includes a base 359 that can form a dock to receive the monitoring client 358. The monitoring client 358 may be a smart phone, or other electronic computing device (e.g., an Android-based device, an (phone, a tablet, a PDA, and the like).
The monitoring client 358 may contain software therein to implement a free flow detector, a flow rate estimator, a control component, an exposure component, etc. (e.g., the free flow detector component 12, the flow rate estimator component 13, the control component 14, the exposure component 29 of
For example, the flow meter 350 may implement a free flow detector, a flow rate estimator, a control component, an exposure component, etc. using internal software, hardware, electronics, and the like. The flow meter 350 may implement a closed-loop feedback system to regulate the fluid flowing to a patient by varying the fluid flowing through the valve 352.
As is easily seen in
A threaded shaft 362 (e.g., a screw) spins freely within a bearing located within the barrel 361 and engages a threaded nut within the barrel nut 360 to push or pull the barrel nut 360 relative to the barrel 361 by rotation of the knob 363 (e.g., the actuator is a lead screw having a knob to actuate the lead screw.). The knob 363 may be manually rotated.
Additionally or alternatively, the valve 352 may be snapped into the receiving portion 351 which includes a rotating member 364 that engages the knob 363 within the receiving portion 351 (see
As shown in
The knob 363 may be turned to turn the screw 362. Rotation of the screw 362 causes the barrel nut 360 to move toward the partial barrel 363 to compress a tube positioned between the support members 353 and 354. The partial barrel 363 includes two sides, however, there is a space to hold the end 600 (e.g., the cap) of the screw 362 securely within the space (e.g., a complementary space).
The flexible members 370 and 371 are coupled together via two connector members 377 and 378. The connector members 377 and 378 are coupled to coupling members 376 and 375, respectively.
Actuation of the valve 369 may be by a linear actuator that pulls the coupling members 375, 376 toward each other or away from each other. The linear actuator (not explicitly shown) may be a screw-type actuator, a piston actuator, or other actuator. In some embodiments, one of the coupling members 375 and 376 may be coupled to a stationary support while the actuator is coupled to the other one of the coupling members 375 and 376 and another stationary support for pulling the coupling members 375 and 376 together or apart.
The valve 380 has both support members 381 and 382 coupled to a coupling member 383 at a first end and a second coupling member 384 at another end. That is, the coupling member 384 surrounds a screw 385, and the coupling member 383 includes internal threads for pulling the coupling member 383 toward or away from a knob 386 when the screw 385 is rotated with rotation of the knob 386.
As shown in
The ratchet 394 engages the gear rack 397 such that the ratchet 394 can be manually moved toward the hinge 395 for course fluid flow adjustments. Thereafter, a knob (not shown) may be coupled to the ratchet 394 to make fine adjustments to the distance between the ratchet 394 and the hinge 395. Additionally or alternatively, the ratchet 394 may include a release button (not shown) to release the ratchet from the connecting member 393.
The support members 403 and 404 may be permanently molded together at their ends with the ends of the connecting member 405. A tube 402 may be positioned between the support members 403 and 404.
As the knob 408 is turned, the screw-type actuator 407 expands or contracts because of engagement with a threaded rod 406.
The body 501 also includes a first connector 506 that is coupled to the support members 503, 504 at an end, and a second connector 507 that is coupled to the other ends of the support members 503, 504.
The first connector 506 is coupled to an end of the support members 503, 504 and to a first end 508 of a connecting member 509. The second connector 507 includes a hole 510 for positioning the second end 511 of the connector member 509 therethrough (as is easily seen in
When a tube is positioned between the support members 502, 503, movement of the second connector 507 toward the first connector 506 compresses the tube disposed between the support members 502, 503. As the second connector 507 moves towards the first connector, the hole 510 of the second connector 507 allows the second end 511 of the connector member 509 to freely slide therein.
Referring now to
When the valve 520 is secured to the valve-securing structure 537, rotation of the wheel 1537 (caused by the motor 536) rotates the knob 522 of the valve 520. As the valve 520 flexes, the protrusion 521 freely moves within the protrusion guide 535 or adjacent to the protrusion guide 535.
The fingers 544 are coupled to a base 546 such that the base 546 and fingers 544 surround the tube 543. The collar 545 is slidable away from the base 546 such that the fingers 544 compress the tube 543 which thereby reduces an internal volume of the tube 543. The reduction of the internal volume of the tube 543 reduces the fluid flow through the tube. An actuator (not shown) may be coupled to the collar 545 to control the position of the collar 545 (e.g., a linear actuator may be coupled to the collar 545 and to the base 546).
The valve 551 includes an inner curved, elongated support member 554 and an outer curved, elongated support member 556. A knob 552 is pivotally coupled to the outer support member 556 via a pin 578. A connecting member 553 engages teeth 576 of the knob 552.
The connecting member 553 may be inserted into a hole of an end 555 of the support member 556 such that rotation of the knob 552 frictionally locks an engaging finger 700 (see
The inner support member 554 can pivot out away from the outer support member 556 such that a tube can be loaded via raised portions 559 and 560 (see
As previously mentioned, the support member 554 can swing away from the outer support member 556 as is shown in
The image sensor 355 may include a filter to filter out all frequencies except for the frequency of the laser 704. For example, the image sensor 355 may include an optical, band-pass filter that has a center frequency equal to (or about equal to) the optical frequency (or center frequency of the optical frequency) of the laser 704.
The monitoring client 358 may be electrically coupled to the laser 704 to modulate the laser 704. For example, the monitoring client 358 may turn on the laser 704 only when predetermined pixels are being exposed and may turn off the laser 704 when other pixels besides the predetermined pixels are being exposed.
The flow meter 703 optionally includes a first electrode 800 and a second electrode 801. The monitoring client 358 may be electrically coupled to the first and second electrodes 800, 801 to measure a capacitance defined therebetween. In streaming conditions, the capacitance changes because the relative permittivity is different for air and water. The monitoring client 358 may monitor the changes that results from a streaming condition with the drip chamber 357 by monitoring the capacitance between the first and second electrodes 800, 801 and correlate increases and/or decreases of the capacitance beyond a threshold as corresponding to either a streaming condition and/or a non-streaming condition. For example, if the capacitance between the first and second electrodes 800, 801 is higher than a threshold, a processor within the monitoring client 358 may determine that the drip chamber 357 is undergoing a streaming condition.
In an alternative embodiment, the first and second electrodes 800, 801 are loop antennas. The monitoring client 358 uses a transceiver to monitor the magnetic coupling between the loop antennas 800, 801. For example, the transceiver may transmit a coded message from one loop antenna of the antennas 800, 801, to another one of the loop antennas 800, 801 and then determine if the coded message was successfully received. If so, then a received signal strength indication (“RSSI”) measurement may be made from the transceiver. See
The flow meter 703 may also include a safety valve 706.
As shown in
Act 729 captures an image of a drip chamber. The image captured may be the image 721 of
In act 733, the pixels within the template are used to determine a second average. In act 734, if a difference between the second average and the first average is greater than a predetermined threshold value, determine that the template is located at an edge of a drop. For example, referring to
The first circuit board 738 includes embedded light sources 822 that extend along the interface between the first backlight diffuser 736 and the first circuit board 738. The embedded light sources 822 shine light into the first backlight diffuser 736 which is directed outwards as indicated by 821. The light 821 may be directed towards an image sensor. The first backlight diffuser 736 only diffuses light with no “pattern” formed when viewed by an image sensor.
The second circuit board 739 includes embedded lights 823 which are shined into the second backlight diffuser 737. The second backlight diffuser 737 creates a pattern of stripes that shows up in the light 821 when viewed by an image sensor. Therefore, a monitoring client (e.g., the monitoring client 358 of
For example, referring now to
As shown in
When the knob 748 is turned, the screw 791 rotates. Rotation of the screw 791 pulls the distal guiding member 750 toward the proximal guiding member 749 (because the distal guiding member 750 includes internal threads and the screw 791 spins freely within the proximal guiding member 749). The guide 752 guides the movement of the distal guiding member 750. The guide 752 is coupled to the proximal guiding member 749.
Act 804 captures a first image (e.g., image 771 of
Act 805 creates a first thresholded image using the first image. The first thresholded image may be the image 774 of
In some specific embodiments, the threshold level is updated every time a new image is taken to ensure a predetermined ratio of 1 to 0 pixels is maintained to highlight the drop. The ratio may be updated for use by act 805 when used again or the update may adjust the threshold until a predetermined ratio of 1 to 0 pixels is made and then use the first thresholded image for the rest of the method 803.
Act 806 determines a set of pixels within the first thresholded image connected to a predetermined set of pixels within the first thresholded image. The predetermined set of pixels may be determined by fiducials marked on the drip chamber or an opening in which drops are formed. The predetermined set of pixels may be a predetermined set of x, y values that correspond to pixels. Act 806 may use a connected component image analysis algorithm.
Act 807 filters all remaining pixels of the first thresholded image that are not within the set of pixels. The filter operates on a pixel-by-pixel basis within the time domain to generate a first filtered image. The first filtered image is an estimate of a non-active (e.g., a result from features not of interest in the image) portion of the first thresholded image (image 774 of
Act 808 removes pixels determined to not be part of a drop from the first thresholded image using the first filtered image to generate a second image (e.g., image 775 of
Act 809 determines a second set of pixels within the second image connected to a predetermined set of pixels within the second image to generate a third image (e.g., the image 776 of
Act 810 determines a first length of the drop by counting the number of rows containing pixels corresponding to the second set of pixels within the third image. That is, the drop length is determined to be equal to the last “lit” row in the set of pixels found in Act 809. The first length corresponds to a first estimated drop size.
Act 811 updates a background image using the first image. A low-pass filter may be used to update each pixel's value in the background image. An infinite impulse response filter may be used to update the background image using the first image. A pixel is only updated in the background image for rows below the first length plus a predetermined safety zone. A pixel in the background image is updated by low pass filtering the value from the corresponding pixel in the first image.
Act 812 creates a second thresholded image (e.g., image 772 of
Act 813 sums the rows of the second thresholded image to create a plurality of row sums (see image 773 of
Act 814 starts at a row position of the second thresholded image having a first sum of the plurality of sums that corresponds to the first length. The row position is incremented in act 815. Act 816 determines whether the present row position correspond to a corresponding row sum that is below a threshold, e.g., zero. If no, then act 815 is preformed again until the present row position corresponds to a corresponding row sum that is zero and then the method 803 proceeds to act 817.
Act 817 determines a second length is equal to the present row position. The second length corresponding to a second estimated drop size. Act 818 averages the first and second lengths to determine a average length. The average length corresponding to a third estimated drop size. By using the first and second lengths to determine an average length, the effects of condensation on the inner walls of the drip chamber are mitigated. That is, the purpose of creating two estimates of drop length is to compensate for how each length is affected by the presence of condensation. The first length tends to underestimate drop length if a drop of condensation intersects the growing drop from the spigot. The second length tends to overestimates the drop length if the drop of condensation intersects the growing drop from the spigot. Their average provides a better estimate when condensation is present. In the absence of condensation, the estimates are almost equal. In other embodiments, only either the first or second length is used to estimate the drop size.
Act 902 captures an image of a drip chamber. Act 904 performs a canny, edge-detection operation on the image to generate a first processed image. Act 906 performs an AND-operation on a pixel on a first side of an axis of the first processed image with a corresponding mirror pixel on the second side of the axis of the first processed image. That is, Act 902 defines an axis in the first process image, and performs an AND on each pixel on one side with a pixel on the other side, such that the pixel on the other side is symmetrical with the pixel on first side. For example, a 40 (X-axis) by 40 (Y-axis) image may have an axis defined between pixel columns 19 and 20. The top, left pixel would be pixel (1,1) A pixel at location (1, 5) would be AND-ed with a pixel at (40,5). The resulting pixel would be used for both locations (1, 5) and (40,5) to generate the second processed image.
After act 906 is performed, act 908 determines whether all of the pixels have been processed. Act 908 repeats act 906 until all pixels have been processed. Act 910 provides a second processed image that is the results of all of the AND operations.
Various alternatives and modifications can be devised by those skilled in the art without departing from the disclosure. Accordingly, the present disclosure is intended to embrace all such alternatives, modifications and variances. Additionally, while several embodiments of the present disclosure have been shown in the drawings and/or discussed herein, it is not intended that the disclosure be limited thereto, as it is intended that the disclosure be as broad in scope as the art will allow and that the specification be read likewise. Therefore, the above description should not be construed as limiting, but merely as exemplifications of particular embodiments. And, those skilled in the art will envision other modifications within the scope and spirit of the claims appended hereto. Other elements, steps, methods and techniques that are insubstantially different from those described above and/or in the appended claims are also intended to be within the scope of the disclosure.
The embodiments shown in the drawings are presented only to demonstrate certain examples of the disclosure. And, the drawings described are only illustrative and are non-limiting. In the drawings, for illustrative purposes, the size of some of the elements may be exaggerated and not drawn to a particular scale. Additionally, elements shown within the drawings that have the same numbers may be identical elements or may be similar elements, depending on the context.
Where the term “comprising” is used in the present description and claims, it does not exclude other elements or steps. Where an indefinite or definite article is used when referring to a singular noun, e.g., “a,” “an,” or “the,” this includes a plural of that noun unless something otherwise is specifically stated. Hence, the term “comprising” should not be interpreted as being restricted to the items listed thereafter; it does not exclude other elements or steps, and so the scope of the expression “a device comprising items A and B” should not be limited to devices consisting only of components A and B. This expression signifies that, with respect to the present disclosure, the only relevant components of the device are A and B.
Furthermore, the terms “first,” “second,” “third,” and the like, whether used in the description or in the claims, are provided for distinguishing between similar elements and not necessarily for describing a sequential or chronological order. It is to be understood that the terms so used are interchangeable under appropriate circumstances (unless clearly disclosed otherwise) and that the embodiments of the disclosure described herein are capable of operation in other sequences and/or arrangements than are described or illustrated herein.
The present application is a continuation application of U.S. patent application Ser. No. 14/812,149, entitled System, Method, and Apparatus for Monitoring, Regulating, or Controlling Fluid Flow, filed on Jul. 29, 2015, now U.S. Publication No. US 2015-0332009 A1, published on Nov. 19, 2015, which is a continuation application of U.S. patent application Ser. No. 13/723,244, entitled System, Method, and Apparatus for Monitoring, Regulating, or Controlling Fluid Flow, filed on Dec. 21, 2012, now U.S. Pat. No. 9,151,646, issued on Oct. 6, 2015, which claims priority to and the benefit of the following: U.S. Provisional Patent Application Ser. No. 61/578,649, filed Dec. 21, 2011 and entitled System, Method, and Apparatus for Infusing Fluid; U.S. Provisional Patent Application Ser. No. 61/578,658, filed Dec. 21, 2011 and entitled System, Method, and Apparatus for Estimating Liquid Delivery; U.S. Provisional Patent Application Ser. No. 61/578,674, filed Dec. 21, 2011 and entitled System, Method, and Apparatus for Dispensing Oral Medications; U.S. Provisional Patent Application Ser. No. 61/651,322, filed May 24, 2012 and entitled System, Method, and Apparatus for Electronic Patient Care; and U.S. Provisional Patent Application Ser. No. 61/679,117, filed Aug. 3, 2012 and entitled System, Method, and Apparatus for Monitoring, Regulating, or Controlling Fluid Flow, each of which are hereby incorporated herein by reference in their entirety. U.S. patent application Ser. No. 13/723,244, entitled System, Method, and Apparatus for Monitoring, Regulating, or Controlling Fluid Flow, filed on Dec. 21, 2012, now U.S. Pat. No. 9,151,646, issued on Oct. 6, 2015 claims priority to, benefit of, and is also a Continuation-In-Part Application of the following: U.S. patent application Ser. No. 13/333,574, filed Dec. 21, 2011 and entitled System, Method, and Apparatus for Electronic Patient Care, now U.S. Publication Number US-2012-0185267-A1, published Jul. 19, 2012, and PCT Application Serial Number PCT/US11/66588, filed Dec. 21, 2011 and entitled System, Method, and Apparatus for Electronic Patient Care, all of which are hereby incorporated herein by reference in their entireties. U.S. patent application Ser. No. 14/812,149, entitled System, Method, and Apparatus for Monitoring, Regulating, or Controlling Fluid Flow, filed on Jul. 29, 2015, now U.S. Publication No. US 2015-0332009 A1, published on Nov. 19, 2015 is also a continuation-in-part of the following: U.S. patent application Ser. No. 13/723,238, filed on Dec. 21, 2012, and entitled System, Method, and Apparatus for Clamping, now U.S. Pat. No. 9,759,369, issued Sep. 12, 2017; U.S. patent application Ser. No. 13/723,235, filed on Dec. 21, 2012, and entitled System, Method, and Apparatus for Dispensing Oral Medications, now U.S. Pat. No. 9,400,873 issued Jul. 26, 2016; U.S. patent application Ser. No. 13/724,568, filed on Dec. 21, 2012, and entitled Syringe Pump, now U.S. Pat. No. 9,295,778 issued Mar. 29, 2016; U.S. patent application Ser. No. 13/725,790, filed on Dec. 21, 2012, and entitled System, Method, and Apparatus for Infusing Fluid, now U.S. Pat. No. 9,677,555 issued Jun. 13, 2017; U.S. patent application Ser. No. 13/723,239, filed on Dec. 21, 2012, and entitled System, Method, and Apparatus for Electronic Patient Care, now U.S. Publication Number US-2013-0297330-A1; U.S. patent application Ser. No. 13/723,242, filed on Dec. 21, 2012, and entitled System, Method, and Apparatus for Electronic Patient Care, now U.S. Publication Number US-2013-0317753-A1; U.S. patent application Ser. No. 13/723,251, filed on Dec. 21, 2012, and entitled System, Method, and Apparatus for Estimating Liquid Delivery, now U.S. Pat. No. 9,636,455 issued May 2, 2017, and U.S. patent application Ser. No. 13/723,253, filed on Dec. 21, 2012, and entitled System, Method, and Apparatus for Electronic Patient Care, now U.S. Publication Number US2013-0191513-A1, all of which are hereby incorporated herein by reference in their entireties. U.S. patent application Ser. No. 14/812,149, entitled System, Method, and Apparatus for Monitoring, Regulating, or Controlling Fluid Flow, filed on Jul. 29, 2015, now U.S. Publication No. US 2015-0332009 A1, published on Nov. 19, 2015 may also be related to one or more of the following applications: PCT Application Serial Number PCT/US12/71131, filed Dec. 21, 2012 and entitled System, Method, and Apparatus for Dispensing Oral Medications; PCT Application Serial Number PCT/US12/71490, filed Dec. 21, 2012 and entitled System, Method, and Apparatus for Infusing Fluid; PCT Application Serial Number PCT/US12/71142, filed Dec. 21, 2012 and entitled System, Method, and Apparatus for Monitoring, Regulating, or Controlling Fluid Flow; and PCT Application Serial Number PCT/US12/71112, filed Dec. 21, 2012 and entitled System, Method, and Apparatus for Estimating Liquid Delivery, all of which are hereby incorporated by reference in their entireties.
Number | Name | Date | Kind |
---|---|---|---|
774645 | Brooks | Nov 1904 | A |
789516 | Williams | May 1905 | A |
792963 | Bullard | Jun 1905 | A |
795424 | Bailey | Jul 1905 | A |
795805 | Wakefield | Aug 1905 | A |
974430 | Rank | Nov 1910 | A |
2880764 | Pelavin | Apr 1959 | A |
2888877 | Shellman | Jun 1959 | A |
3173372 | Baldwin | Mar 1965 | A |
3384336 | Pulman | May 1968 | A |
3609379 | Hildebrandt | Sep 1971 | A |
3685787 | Adelberg | Aug 1972 | A |
3733149 | Jacobson | May 1973 | A |
3790042 | McCormick | Feb 1974 | A |
3831600 | Buckles | Aug 1974 | A |
4038982 | Burke | Aug 1977 | A |
4105028 | Sadlier | Aug 1978 | A |
4155362 | Jess | May 1979 | A |
4247077 | Banick et al. | Jan 1981 | A |
4303376 | Siekmann | Dec 1981 | A |
4321461 | Walter, Jr. | Mar 1982 | A |
4328800 | Marx | May 1982 | A |
4328801 | Marx | May 1982 | A |
4383252 | Purcell | May 1983 | A |
4397642 | Lamadrid | Aug 1983 | A |
4421506 | Danby | Dec 1983 | A |
4449534 | Leibinsohn | May 1984 | A |
4469480 | Figler | Sep 1984 | A |
4490140 | Carr | Dec 1984 | A |
4496351 | Hillel et al. | Jan 1985 | A |
4504263 | Steuer | Mar 1985 | A |
4525163 | Slavik | Jun 1985 | A |
4577197 | Crean | Mar 1986 | A |
4583975 | Pekkarinen | Apr 1986 | A |
RE32294 | Knute | Nov 1986 | E |
4634426 | Kamen | Jan 1987 | A |
4635281 | Jones | Jan 1987 | A |
4648869 | Bobo, Jr. | Mar 1987 | A |
4662829 | Nehring | May 1987 | A |
4668216 | Martin | May 1987 | A |
4673161 | Flynn et al. | Jun 1987 | A |
4673616 | Goodwin | Jun 1987 | A |
4673820 | Kamen | Jun 1987 | A |
4680977 | Conero | Jul 1987 | A |
4703314 | Spani | Oct 1987 | A |
4718896 | Arndt | Jan 1988 | A |
4720636 | Benner, Jr. | Jan 1988 | A |
4722224 | Scheller et al. | Feb 1988 | A |
4775368 | Iwatschenki | Oct 1988 | A |
4778451 | Kamen | Oct 1988 | A |
4787406 | Edwards et al. | Nov 1988 | A |
4812904 | Maring | Mar 1989 | A |
4820268 | Kawamura | Apr 1989 | A |
4820281 | Lawler | Apr 1989 | A |
4821904 | Bhargava et al. | Apr 1989 | A |
4834744 | Ritson | May 1989 | A |
4837708 | Wright | Jun 1989 | A |
4846792 | Bobo, Jr. | Jul 1989 | A |
4909786 | Gijselhart | Mar 1990 | A |
4920336 | Meijer | Apr 1990 | A |
4936828 | Chiang | Jun 1990 | A |
4959050 | Bobo, Jr. | Sep 1990 | A |
4979940 | Bobo, Jr. | Dec 1990 | A |
4981467 | Bobo | Jan 1991 | A |
5002539 | Coble | Mar 1991 | A |
5045069 | Imparato | Sep 1991 | A |
5047014 | Mosebach et al. | Sep 1991 | A |
5057090 | Bessman | Oct 1991 | A |
5083741 | Sancoff | Jan 1992 | A |
5154693 | East et al. | Oct 1992 | A |
5154704 | Archibald | Oct 1992 | A |
5181910 | Scanlon | Jan 1993 | A |
5186057 | Everhart | Feb 1993 | A |
RE34413 | McCullough | Oct 1993 | E |
5267980 | Dirr, Jr. | Dec 1993 | A |
5278626 | Poole | Jan 1994 | A |
5279558 | Kriesel | Jan 1994 | A |
D347472 | Sunderland et al. | May 1994 | S |
5314316 | Shibamoto | May 1994 | A |
D348730 | Walker et al. | Jul 1994 | S |
5328341 | Forni | Jul 1994 | A |
5331309 | Sakai | Jul 1994 | A |
D353667 | Tsubota et al. | Dec 1994 | S |
D355716 | Nash et al. | Feb 1995 | S |
5411052 | Murray | May 1995 | A |
5415641 | Yerlikaya | May 1995 | A |
D361617 | Sancoff et al. | Aug 1995 | S |
5439442 | Bellifemine | Aug 1995 | A |
D362721 | Peeler et al. | Sep 1995 | S |
5482446 | Williamson | Jan 1996 | A |
D367527 | Marston et al. | Feb 1996 | S |
5489265 | Montalvo et al. | Feb 1996 | A |
5526285 | Campo | Jun 1996 | A |
5562615 | Nassif | Oct 1996 | A |
5588963 | Roelofs | Dec 1996 | A |
5601980 | Gordon | Feb 1997 | A |
5707588 | Tsukishima | Jan 1998 | A |
5718562 | Lawless | Feb 1998 | A |
5753820 | Reed | May 1998 | A |
5782805 | Meinzer | Jul 1998 | A |
5800140 | Forni | Sep 1998 | A |
5800386 | Bellifemine | Sep 1998 | A |
5814015 | Gargano et al. | Sep 1998 | A |
5843045 | DuPont | Dec 1998 | A |
5896195 | Juvinall | Apr 1999 | A |
5899665 | Makino | May 1999 | A |
5920361 | Gibeau | Jul 1999 | A |
D416999 | Miyamoto | Nov 1999 | S |
6015083 | Hayes | Jan 2000 | A |
6049381 | Reintjes | Apr 2000 | A |
6050713 | O'Donnell | Apr 2000 | A |
6083206 | Molko | Jul 2000 | A |
6091483 | Guirguis | Jul 2000 | A |
6091492 | Strickland | Jul 2000 | A |
6110153 | Davis | Aug 2000 | A |
D434150 | Tumey et al. | Nov 2000 | S |
6142979 | McNally et al. | Nov 2000 | A |
6144453 | Hallerman | Nov 2000 | A |
6149631 | Haydel, Jr. | Nov 2000 | A |
6159186 | Wickham | Dec 2000 | A |
6213354 | Kay | Apr 2001 | B1 |
6213739 | Phallen et al. | Apr 2001 | B1 |
6228047 | Dadson | May 2001 | B1 |
D446860 | Meziére et al. | Aug 2001 | S |
6270478 | Mernøe | Aug 2001 | B1 |
6305908 | Hermann | Oct 2001 | B1 |
6328712 | Cartledge | Dec 2001 | B1 |
6362887 | Meisberger | Mar 2002 | B1 |
D461891 | Moberg | Aug 2002 | S |
6491659 | Miyamoto | Dec 2002 | B1 |
6500151 | Cobb | Dec 2002 | B1 |
6503221 | Briggs | Jan 2003 | B1 |
6523414 | Malmstrom | Feb 2003 | B1 |
D471274 | Diaz et al. | Mar 2003 | S |
6549639 | Genest | Apr 2003 | B1 |
6554791 | Cartledge et al. | Apr 2003 | B1 |
6562012 | Brown | May 2003 | B1 |
6574050 | Lin et al. | Jun 2003 | B1 |
6599282 | Burko | Jul 2003 | B2 |
6641556 | Shigezawa | Nov 2003 | B1 |
6657545 | Lin | Dec 2003 | B1 |
6736801 | Gallagher | May 2004 | B1 |
6810290 | Lebel et al. | Oct 2004 | B2 |
6814547 | Childers et al. | Nov 2004 | B2 |
6947073 | Seal | Sep 2005 | B1 |
6975898 | Seibel | Dec 2005 | B2 |
6984052 | Del Castillo | Jan 2006 | B1 |
7001365 | Makkink | Feb 2006 | B2 |
7068831 | Florent | Jun 2006 | B2 |
7070121 | Schramm | Jul 2006 | B2 |
7092796 | Vanderveen | Aug 2006 | B2 |
7118549 | Chan | Oct 2006 | B2 |
7147448 | Slaughter et al. | Dec 2006 | B2 |
7163740 | Rosati | Jan 2007 | B2 |
7190275 | Goldberg | Mar 2007 | B2 |
7255680 | Gharib | Aug 2007 | B1 |
D564087 | Yodfat et al. | Mar 2008 | S |
7338475 | Brown | Mar 2008 | B2 |
7420151 | Fengler et al. | Sep 2008 | B2 |
7448706 | Yamanobe | Nov 2008 | B2 |
7467055 | Seshimo et al. | Dec 2008 | B2 |
D585543 | Yodfat et al. | Jan 2009 | S |
D586463 | Evans et al. | Feb 2009 | S |
7498563 | Mandro | Mar 2009 | B2 |
7499581 | Tribble | Mar 2009 | B2 |
7540859 | Claude | Jun 2009 | B2 |
7677689 | Kim | Mar 2010 | B2 |
7695448 | Cassidy | Apr 2010 | B2 |
7767991 | Sacchetti | Aug 2010 | B2 |
7776927 | Chu | Aug 2010 | B2 |
7782366 | Imai | Aug 2010 | B2 |
7783107 | Zandifar | Aug 2010 | B2 |
D629503 | Caffey et al. | Dec 2010 | S |
7892201 | Laguna | Feb 2011 | B1 |
7892204 | Kraus | Feb 2011 | B2 |
7905859 | Bynum | Mar 2011 | B2 |
7914483 | Simmons | Mar 2011 | B2 |
7918834 | Mernoe | Apr 2011 | B2 |
7924424 | Erickson et al. | Apr 2011 | B2 |
7933780 | De La Huerga | Apr 2011 | B2 |
7952698 | Friedrich | May 2011 | B2 |
8004683 | Tokhtuev et al. | Aug 2011 | B2 |
8025634 | Moubayed | Sep 2011 | B1 |
8038657 | Davis | Oct 2011 | B2 |
8038663 | Miner | Oct 2011 | B2 |
8103461 | Glaser et al. | Jan 2012 | B2 |
8112814 | Shimizu | Feb 2012 | B2 |
8137083 | Zhou | Mar 2012 | B2 |
8147447 | Sundar et al. | Apr 2012 | B2 |
8147448 | Sundar | Apr 2012 | B2 |
8147464 | Spohn | Apr 2012 | B2 |
8184848 | Wu | May 2012 | B2 |
8256984 | Fathallah | Sep 2012 | B2 |
8257779 | Abernathy | Sep 2012 | B2 |
8282894 | Lee | Oct 2012 | B2 |
D674083 | Boaz | Jan 2013 | S |
D676551 | Desai et al. | Feb 2013 | S |
D677784 | Marguerie | Mar 2013 | S |
8394062 | Powers | Mar 2013 | B2 |
8439880 | Rondeau | May 2013 | B2 |
8447069 | Huang et al. | May 2013 | B2 |
8471231 | Paz | Jun 2013 | B2 |
8523797 | Lowery et al. | Sep 2013 | B2 |
8523829 | Miner et al. | Sep 2013 | B2 |
8523839 | Siefert | Sep 2013 | B2 |
8529511 | Boulanger | Sep 2013 | B2 |
8531517 | Tao | Sep 2013 | B2 |
8552361 | Mandro | Oct 2013 | B2 |
8622979 | Hungerford | Jan 2014 | B2 |
8638358 | Dabiri et al. | Jan 2014 | B2 |
8647074 | Moberg et al. | Feb 2014 | B2 |
8692678 | Warner et al. | Apr 2014 | B2 |
8733178 | Bivans et al. | May 2014 | B2 |
D709183 | Kemlein | Jul 2014 | S |
8777897 | Butterfield | Jul 2014 | B2 |
D712043 | Sliger | Aug 2014 | S |
D714452 | Koski et al. | Sep 2014 | S |
8834429 | Grant | Sep 2014 | B2 |
D720449 | Galbraith et al. | Dec 2014 | S |
D728779 | Sabin et al. | May 2015 | S |
D735319 | Sabin et al. | Jul 2015 | S |
D736370 | Sabin et al. | Aug 2015 | S |
9095652 | Dewey | Aug 2015 | B2 |
9128051 | Bui | Sep 2015 | B2 |
9134735 | Lowery et al. | Sep 2015 | B2 |
9134736 | Lowery et al. | Sep 2015 | B2 |
9144644 | Hungerford | Sep 2015 | B2 |
9151646 | Kamen et al. | Oct 2015 | B2 |
D745661 | Collins et al. | Dec 2015 | S |
D745662 | Chen | Dec 2015 | S |
D746441 | Harr et al. | Dec 2015 | S |
9216279 | Travis et al. | Dec 2015 | B2 |
D746975 | Schenck et al. | Jan 2016 | S |
D746976 | Chen et al. | Jan 2016 | S |
9234850 | Hammond et al. | Jan 2016 | B2 |
D749206 | Johnson et al. | Feb 2016 | S |
D751689 | Peret et al. | Mar 2016 | S |
D751690 | Peret et al. | Mar 2016 | S |
D752209 | Peret et al. | Mar 2016 | S |
D752758 | Chung | Mar 2016 | S |
9295778 | Kamen et al. | Mar 2016 | B2 |
D754065 | Gray et al. | Apr 2016 | S |
D756386 | Kendler et al. | May 2016 | S |
D756505 | Park | May 2016 | S |
D758399 | Kendler et al. | Jun 2016 | S |
D760288 | Kendler et al. | Jun 2016 | S |
D760289 | Kendler et al. | Jun 2016 | S |
9364394 | Demers et al. | Jun 2016 | B2 |
9372486 | Peret et al. | Jun 2016 | B2 |
D760782 | Kendler et al. | Jul 2016 | S |
D760888 | Gill et al. | Jul 2016 | S |
9400873 | Kamen et al. | Jul 2016 | B2 |
9408966 | Kamen | Aug 2016 | B2 |
D767756 | Sabin | Sep 2016 | S |
9435455 | Peret et al. | Sep 2016 | B2 |
D768716 | Kendler et al. | Oct 2016 | S |
9465919 | Kamen et al. | Oct 2016 | B2 |
9468716 | Hariharesan et al. | Oct 2016 | B2 |
9488200 | Kamen et al. | Nov 2016 | B2 |
D774645 | Gill et al. | Dec 2016 | S |
9518958 | Wilt et al. | Dec 2016 | B2 |
9636455 | Kamen et al. | May 2017 | B2 |
D789516 | Gill et al. | Jun 2017 | S |
9675756 | Kamen et al. | Jun 2017 | B2 |
9677555 | Kamen et al. | Jun 2017 | B2 |
9687417 | Demers et al. | Jun 2017 | B2 |
D791306 | Clemente et al. | Jul 2017 | S |
D792963 | Gill | Jul 2017 | S |
D795424 | Sloss | Aug 2017 | S |
D795805 | Gray et al. | Aug 2017 | S |
9719964 | Blumberg, Jr. | Aug 2017 | B2 |
9724465 | Peret et al. | Aug 2017 | B2 |
9724466 | Peret et al. | Aug 2017 | B2 |
9724467 | Peret et al. | Aug 2017 | B2 |
9730731 | Langenfeld et al. | Aug 2017 | B2 |
9744300 | Kamen et al. | Aug 2017 | B2 |
9746093 | Peret et al. | Aug 2017 | B2 |
9746094 | Peret et al. | Aug 2017 | B2 |
9759343 | Peret et al. | Sep 2017 | B2 |
9759369 | Gray et al. | Sep 2017 | B2 |
9772044 | Peret et al. | Sep 2017 | B2 |
D799025 | Johnson et al. | Oct 2017 | S |
D801519 | Sabin et al. | Oct 2017 | S |
9789247 | Kamen et al. | Oct 2017 | B2 |
D802118 | Peret et al. | Nov 2017 | S |
D802747 | Au et al. | Nov 2017 | S |
D803386 | Sabin et al. | Nov 2017 | S |
D803387 | Bodwell et al. | Nov 2017 | S |
D804017 | Sabin | Nov 2017 | S |
9808572 | Kamen et al. | Nov 2017 | B2 |
D805183 | Sabin et al. | Dec 2017 | S |
9856990 | Peret et al. | Jan 2018 | B2 |
D813376 | Peret et al. | Mar 2018 | S |
D814021 | Sabin | Mar 2018 | S |
D815730 | Collins et al. | Apr 2018 | S |
D816685 | Kendler et al. | May 2018 | S |
D816829 | Peret et al. | May 2018 | S |
D817479 | Sabin et al. | May 2018 | S |
D817480 | Sabin et al. | May 2018 | S |
9968730 | Blumberg, Jr. et al. | May 2018 | B2 |
9976665 | Peret et al. | May 2018 | B2 |
10044791 | Kamen et al. | Aug 2018 | B2 |
10088346 | Kane et al. | Oct 2018 | B2 |
10113660 | Peret et al. | Oct 2018 | B2 |
10228683 | Peret et al. | Mar 2019 | B2 |
D854145 | Collins | Jul 2019 | S |
D860437 | Collins | Sep 2019 | S |
10436342 | Peret et al. | Oct 2019 | B2 |
10488848 | Peret et al. | Nov 2019 | B2 |
20010026292 | Ishizaki | Oct 2001 | A1 |
20010055462 | Seibel | Dec 2001 | A1 |
20020194933 | Roelofs | Dec 2002 | A1 |
20030045840 | Burko | Mar 2003 | A1 |
20030055406 | Lebel | Mar 2003 | A1 |
20030107819 | Lin et al. | Jun 2003 | A1 |
20030217962 | Childers | Nov 2003 | A1 |
20040044306 | Lynch et al. | Mar 2004 | A1 |
20040044309 | Owens et al. | Mar 2004 | A1 |
20040171994 | Goldberg | Sep 2004 | A1 |
20050096581 | Chan | May 2005 | A1 |
20050171491 | Minh Miner et al. | Aug 2005 | A1 |
20050171791 | Chimenti et al. | Aug 2005 | A1 |
20060096660 | Diaz | May 2006 | A1 |
20060140466 | Seshimo | Jun 2006 | A1 |
20060146077 | Song | Jul 2006 | A1 |
20060211981 | Sparks et al. | Sep 2006 | A1 |
20060291211 | Rodriguez | Dec 2006 | A1 |
20070088269 | Valego et al. | Apr 2007 | A1 |
20070102623 | Fengler et al. | May 2007 | A1 |
20070228071 | Kamen et al. | Oct 2007 | A1 |
20070293817 | Feng | Dec 2007 | A1 |
20080004574 | Dyar | Jan 2008 | A1 |
20080051732 | Chen | Feb 2008 | A1 |
20080147008 | Lewis | Jun 2008 | A1 |
20080147016 | Faries | Jun 2008 | A1 |
20080154214 | Spohn | Jun 2008 | A1 |
20080200866 | Prisco et al. | Aug 2008 | A1 |
20080235765 | Shimizu | Sep 2008 | A1 |
20080237502 | Fago | Oct 2008 | A1 |
20080252472 | Su et al. | Oct 2008 | A1 |
20090003678 | Cutler | Jan 2009 | A1 |
20090097029 | Tokhtuev | Apr 2009 | A1 |
20090112115 | Huang | Apr 2009 | A1 |
20090180106 | Friedrich | Jul 2009 | A1 |
20090224638 | Weber | Sep 2009 | A1 |
20090254025 | Simmons | Oct 2009 | A1 |
20090262351 | Erickson | Oct 2009 | A1 |
20090276167 | Glaser | Nov 2009 | A1 |
20090281460 | Lowery | Nov 2009 | A1 |
20100021933 | Okano | Jan 2010 | A1 |
20100097451 | Bruce | Apr 2010 | A1 |
20100114027 | Jacobson | May 2010 | A1 |
20100120601 | Hayamizu | May 2010 | A1 |
20100168671 | Faries, Jr. | Jul 2010 | A1 |
20100204650 | Hungerford et al. | Aug 2010 | A1 |
20100211003 | Sundar | Aug 2010 | A1 |
20100217229 | Miner | Aug 2010 | A1 |
20100229978 | Yu | Sep 2010 | A1 |
20100232712 | Tomita et al. | Sep 2010 | A1 |
20100292635 | Sundar | Nov 2010 | A1 |
20100309005 | Warner | Dec 2010 | A1 |
20110000560 | Miller et al. | Jan 2011 | A1 |
20110004186 | Butterfield | Jan 2011 | A1 |
20110019630 | Harris | Jan 2011 | A1 |
20110025826 | Dabiri | Feb 2011 | A1 |
20110046899 | Paz | Feb 2011 | A1 |
20110060284 | Harr | Mar 2011 | A1 |
20110125103 | Rondeau | May 2011 | A1 |
20110137239 | DeBelser et al. | Jun 2011 | A1 |
20110142283 | Huang | Jun 2011 | A1 |
20110144595 | Cheng | Jun 2011 | A1 |
20110166511 | Sharvit | Jul 2011 | A1 |
20110178476 | Lin | Jul 2011 | A1 |
20110190146 | Boehm | Aug 2011 | A1 |
20110190637 | Knobel | Aug 2011 | A1 |
20110196304 | Kramer et al. | Aug 2011 | A1 |
20110196306 | De La Huerga | Aug 2011 | A1 |
20110206247 | Dachille | Aug 2011 | A1 |
20110208123 | Gray | Aug 2011 | A1 |
20110231204 | De La Huerga | Sep 2011 | A1 |
20110251557 | Powers | Oct 2011 | A1 |
20110275063 | Weitz | Nov 2011 | A1 |
20110313351 | Kamen et al. | Dec 2011 | A1 |
20110313789 | Kamen | Dec 2011 | A1 |
20110316919 | Baldy, Jr. | Dec 2011 | A1 |
20110317004 | Tao | Dec 2011 | A1 |
20120013735 | Tao | Jan 2012 | A1 |
20120035581 | Travis | Feb 2012 | A1 |
20120039507 | Ikenoue | Feb 2012 | A1 |
20120059318 | Dewey | Mar 2012 | A1 |
20120059350 | Siefert | Mar 2012 | A1 |
20120095415 | Sharvit | Apr 2012 | A1 |
20120095433 | Hungerford | Apr 2012 | A1 |
20120185267 | Kamen | Jul 2012 | A1 |
20120197185 | Tao | Aug 2012 | A1 |
20120238997 | Dewey | Sep 2012 | A1 |
20120265166 | Yodfat | Oct 2012 | A1 |
20120274765 | Ung et al. | Nov 2012 | A1 |
20120310153 | Moberg | Dec 2012 | A1 |
20120310205 | Lee et al. | Dec 2012 | A1 |
20130035659 | Hungerford | Feb 2013 | A1 |
20130044951 | Cherng et al. | Feb 2013 | A1 |
20130083191 | Lowery et al. | Apr 2013 | A1 |
20130085443 | Lowery | Apr 2013 | A1 |
20130110046 | Nowak et al. | May 2013 | A1 |
20130131508 | Thomas | May 2013 | A1 |
20130177455 | Kamen | Jul 2013 | A1 |
20130182381 | Gray et al. | Jul 2013 | A1 |
20130184676 | Kamen | Jul 2013 | A1 |
20130188040 | Kamen et al. | Jul 2013 | A1 |
20130191513 | Kamen et al. | Jul 2013 | A1 |
20130197693 | Kamen et al. | Aug 2013 | A1 |
20130201471 | Bui et al. | Aug 2013 | A1 |
20130201482 | Munro | Aug 2013 | A1 |
20130204188 | Kamen et al. | Aug 2013 | A1 |
20130253442 | Travis | Sep 2013 | A1 |
20130272773 | Kamen et al. | Oct 2013 | A1 |
20130281965 | Kamen | Oct 2013 | A1 |
20130297330 | Kamen et al. | Nov 2013 | A1 |
20130310990 | Peret et al. | Nov 2013 | A1 |
20130317753 | Kamen | Nov 2013 | A1 |
20130317837 | Ballantyne | Nov 2013 | A1 |
20130336814 | Kamen et al. | Dec 2013 | A1 |
20130339049 | Blumberg, Jr. | Dec 2013 | A1 |
20130346108 | Kamen et al. | Dec 2013 | A1 |
20140043469 | Engel | Feb 2014 | A1 |
20140066880 | Prince et al. | Mar 2014 | A1 |
20140081233 | Hungerford | Mar 2014 | A1 |
20140094753 | Mernoe | Apr 2014 | A1 |
20140121601 | Hoenninger, III | May 2014 | A1 |
20140135695 | Grant | May 2014 | A1 |
20140148757 | Ambrosina | May 2014 | A1 |
20140165703 | Wilt et al. | Jun 2014 | A1 |
20140180711 | Kamen | Jun 2014 | A1 |
20140188076 | Kamen | Jul 2014 | A1 |
20140188516 | Kamen et al. | Jul 2014 | A1 |
20140194818 | Yodfat | Jul 2014 | A1 |
20140195639 | Kamen | Jul 2014 | A1 |
20140227021 | Kamen et al. | Aug 2014 | A1 |
20140228758 | Chi et al. | Aug 2014 | A1 |
20140257178 | Sang et al. | Sep 2014 | A1 |
20140267709 | Hammond | Sep 2014 | A1 |
20140276457 | Munro | Sep 2014 | A1 |
20140309612 | Smisson, III | Oct 2014 | A1 |
20140313120 | Kamhi | Oct 2014 | A1 |
20140318639 | Peret et al. | Oct 2014 | A1 |
20140327759 | Tao | Nov 2014 | A1 |
20140340512 | Tao | Nov 2014 | A1 |
20140343492 | Kamen | Nov 2014 | A1 |
20150002667 | Peret et al. | Jan 2015 | A1 |
20150002668 | Peret et al. | Jan 2015 | A1 |
20150002677 | Peret et al. | Jan 2015 | A1 |
20150023808 | Zhu | Jan 2015 | A1 |
20150033823 | Blumberg, Jr. | Feb 2015 | A1 |
20150154364 | Biasi et al. | Jun 2015 | A1 |
20150157791 | Desch et al. | Jun 2015 | A1 |
20150219881 | Munro | Aug 2015 | A1 |
20150238228 | Langenfeld et al. | Aug 2015 | A1 |
20150257974 | Demers et al. | Sep 2015 | A1 |
20150314083 | Blumberg, Jr. et al. | Nov 2015 | A1 |
20150332009 | Kane et al. | Nov 2015 | A1 |
20150361974 | Hungerford et al. | Dec 2015 | A1 |
20160025641 | Hammond et al. | Jan 2016 | A1 |
20160055397 | Peret et al. | Feb 2016 | A1 |
20160055649 | Peret et al. | Feb 2016 | A1 |
20160061641 | Peret et al. | Mar 2016 | A1 |
20160063353 | Peret et al. | Mar 2016 | A1 |
20160073063 | Peret et al. | Mar 2016 | A1 |
20160084434 | Janway et al. | Mar 2016 | A1 |
20160097382 | Kamen et al. | Apr 2016 | A1 |
20160131272 | Yoo | May 2016 | A1 |
20160151564 | Magers et al. | Jun 2016 | A1 |
20160158437 | Biasi et al. | Jun 2016 | A1 |
20160179086 | Peret et al. | Jun 2016 | A1 |
20160184510 | Kamen et al. | Jun 2016 | A1 |
20160203292 | Kamen et al. | Jul 2016 | A1 |
20160262977 | Demers et al. | Sep 2016 | A1 |
20160287780 | Lee et al. | Oct 2016 | A1 |
20160319850 | Kamen et al. | Nov 2016 | A1 |
20160346056 | Demers et al. | Dec 2016 | A1 |
20160362234 | Peret et al. | Dec 2016 | A1 |
20170011202 | Kamen et al. | Jan 2017 | A1 |
20170045478 | Wilt et al. | Feb 2017 | A1 |
20170047022 | Ikeda et al. | Feb 2017 | A1 |
20170216516 | Dale et al. | Aug 2017 | A1 |
20170224909 | Kamen et al. | Aug 2017 | A1 |
20170259230 | Demers et al. | Sep 2017 | A1 |
20170266378 | Kamen et al. | Sep 2017 | A1 |
20170268497 | Kamen et al. | Sep 2017 | A1 |
20170284968 | Blumberg, Jr. | Oct 2017 | A1 |
20170296745 | Kamen et al. | Oct 2017 | A1 |
20170303969 | Langenfeld et al. | Oct 2017 | A1 |
20170321841 | Gray et al. | Nov 2017 | A1 |
20170333623 | Kamen et al. | Nov 2017 | A1 |
20170335988 | Peret et al. | Nov 2017 | A1 |
20180028745 | Amon et al. | Feb 2018 | A1 |
20180038501 | Peret et al. | Feb 2018 | A1 |
20180066648 | Kamen et al. | Mar 2018 | A1 |
20180080605 | Janway et al. | Mar 2018 | A1 |
20180106246 | Kamen et al. | Apr 2018 | A1 |
20180128259 | Kamen et al. | May 2018 | A1 |
20180224012 | Peret et al. | Aug 2018 | A1 |
20190033104 | Kane et al. | Jan 2019 | A1 |
20190049029 | Peret et al. | Feb 2019 | A1 |
20190179289 | Peret et al. | Jun 2019 | A1 |
20200025305 | Peret et al. | Jan 2020 | A1 |
Number | Date | Country |
---|---|---|
2247783 | Jun 1985 | AU |
1213749 | Nov 1986 | CA |
1986008 | Jun 2007 | CN |
2922921 | Jul 2007 | CN |
2023027 | Nov 1970 | DE |
2631951 | Jan 1978 | DE |
3617723 | Dec 1987 | DE |
3643276 | Jun 1988 | DE |
3822057 | Jan 1989 | DE |
69229832 | Feb 2000 | DE |
0112699 | Jul 1984 | EP |
0441323 | Aug 1991 | EP |
819495 | Jan 1998 | EP |
1722310 | Nov 2006 | EP |
2319551 | May 2011 | EP |
2793977 | Nov 2015 | EP |
2042606 | Feb 1971 | FR |
2273264 | Dec 1975 | FR |
2458804 | Jan 1981 | FR |
2617593 | Jan 1989 | FR |
1301033 | Dec 1972 | GB |
2020735 | Nov 1979 | GB |
2207239 | Jan 1989 | GB |
2328982 | Mar 1999 | GB |
58163843 | Sep 1983 | JP |
04-280582 | Oct 1992 | JP |
3110458 | Nov 2000 | JP |
2007229928 | Sep 2007 | JP |
2009298012 | Dec 2009 | JP |
2011062371 | Mar 2011 | JP |
1020050039780 | Apr 2005 | KR |
1020060111424 | Oct 2006 | KR |
1020100037914 | Apr 2010 | KR |
7006908 | Nov 1970 | NL |
8801680 | Feb 1989 | NL |
9101825 | May 1993 | NL |
376843 | Jun 1975 | SE |
WO1981002770 | Oct 1981 | WO |
WO1993009407 | May 1993 | WO |
WO2000072181 | Nov 2000 | WO |
WO2002040084 | May 2002 | WO |
WO2002010262 | Dec 2002 | WO |
WO2004035116 | Apr 2004 | WO |
WO2005094919 | Oct 2005 | WO |
WO2006086723 | Aug 2006 | WO |
WO2008022880 | Feb 2008 | WO |
WO2008079023 | Jul 2008 | WO |
WO2009039203 | Mar 2009 | WO |
WO2009039214 | Mar 2009 | WO |
WO2009055639 | Apr 2009 | WO |
WO2010020397 | Apr 2010 | WO |
WO2010129720 | Nov 2010 | WO |
WO2011021098 | Feb 2011 | WO |
WO2011136667 | Nov 2011 | WO |
WO2012104779 | Aug 2012 | WO |
WO2013017949 | Feb 2013 | WO |
WO2013070337 | May 2013 | WO |
WO2013095459 | Jun 2013 | WO |
WO2013096713 | Jun 2013 | WO |
WO2013096718 | Jun 2013 | WO |
WO2013096722 | Jun 2013 | WO |
WO2013096909 | Jun 2013 | WO |
WO2013176770 | Nov 2013 | WO |
WO2013177357 | Nov 2013 | WO |
WO2014100557 | Jun 2014 | WO |
WO2014100571 | Jun 2014 | WO |
WO2014100658 | Jun 2014 | WO |
WO2014100687 | Jun 2014 | WO |
WO2014100736 | Jun 2014 | WO |
WO2014100744 | Jun 2014 | WO |
WO2014144557 | Sep 2014 | WO |
WO2014025736 | Oct 2014 | WO |
WO2014160058 | Oct 2014 | WO |
WO2014160249 | Oct 2014 | WO |
WO2014160307 | Oct 2014 | WO |
WO2015017275 | Feb 2015 | WO |
WO2015116557 | Aug 2015 | WO |
Entry |
---|
“The OpenCV Reference Manual Release 2.3”, May 10, 2011, pp. 1-263. |
Invitation to Respond to Written Opinion from the Intellectual Property Office of Singapore for Application 11201507504S, dated Nov. 23, 2015. |
First Examination Report from the Intellectual Property Office of New Zealand for Application 626382, dated Apr. 1, 2015. |
Report of substantive examination from Superintendent of Industry and Commerce of Colombia for Patent Application 14155193, dated Nov. 19, 2015. |
Notice of Preliminary Rejection (Non-Final) from the Korean Intellectual Property Office (“KIPO”) for Korean Patent Application No. 10-2014-7019883, dated Dec. 15, 2015. |
First Examination report from the New Zealand Intellectual Property Office for New Zealand IP No. 715098, dated Jan. 12, 2016. |
“Microcomputer Intravenous Infusion Drip Controller”, Longfian Scitech Co., Ltd., Mar. 18, 2016 (retrieved). Advertisement listed as having a valid price starting at Mar. 10, 2016, 2 pgs, http://marina.en.made-in-china.com/productimage/bKvQT0cJEhs-2f1j0OFZetff SdnhcU/China-Microcomputer-Intravenous-Infusion-Drip-Controller.html. |
“DripAssist Specificaiton”, Shift Labs, Mar. 18, 2016 (retrieved). 2 pgs, http://www.shiftlabs.com/products/dripassist/specifications. |
“DripAssist Product Overview”, Shift Labs, Mar. 18, 2016 (retrieved). 2 pgs, http://www.shiftlabs.com/products/dripassist/overview. |
“DripAssist Product Brochure”, Shift Labs, Mar. 18, 2016 (retrieved). 1 pg., http://www.shiftlabs.com/sites/default/files/DripAssistOnesheet.pdf. |
“IV Drip monitor”, Allison Lipper, Mar. 18, 2016 (retrieved). 3 pgs., http://cnx.org/contests/WmaFki2-@/IV-Drip-Monitor. |
“AutoClamp”, Ace Medical, Mar. 18, 2016 (retrieved). 2 pgs., http://acemedical.com/2014/en/product/product/view.asp?po_no=31. |
Extended European Search Report dated Mar. 3, 2016, received in European patent application No. 15192051.9, 7 pgs. |
Notice of Eligibility for Grant from the Intellectual Property Office of Singapore for Application 11201507504S, dated Jun. 6, 2016, 12 pgs. |
Second Office Action and Search Report dated Jun. 27, 2016, received in Republic of China patent application No. 201280069373.3, 6 pgs. |
First Office Action dated Oct. 20, 2015, received in Republic of China patent application No. 201280069373.3, 4 pgs. |
First Office Action dated Jul. 28, 2016, received in Australian patent application No. 2012358397, 3 pgs. |
European Community Design Registration 002381669/0001-0005, Filed Jan. 8, 2014 and published on May 12, 2016, 42 pgs. |
Notification from the Eurasian Patent Organization for Application 201491218, dated Apr. 27, 2015, 2 pgs. |
Second Report of substantive examination from Superintendent of Industry and Commerce of Colombia for Patent Application 14.155.193, dated Sep. 8, 2016, 18 pgs. |
First Examination Report from IP Australia for Patent Application 2012358397, dated Jul. 28, 2016, 3 pgs. |
Notice of Acceptance from IP Australia for Patent Application 2012358397, dated Jan. 5, 2017, 3 pgs. |
English Search Report from the People's Republic of China for Patent Application 201280069373.3, dated Jul. 12, 2016, 2 pgs. |
Notice of Allowance from Korean Intellectual Property Office for Patent Application 10-20147019883, dated Jun. 28, 2016, 3 pgs. |
First Examination Report from Mexican Patent Office for Patent Application MX/a/2014/007751, dated Sep. 8, 2016, 5 pgs. |
Further Examination Report from the New Zealand Intellectual Property Office for Patent Application 626382, dated Jan. 12, 2016, 2 pgs. |
Notice of Acceptance from the New Zealand Intellectual Property Office for Patent Application 626382, dated Feb. 9, 2016, 1 pg. |
Rule 161 Communication from the European Patent Office for Patent Application 14720397.0/1662, dated Oct. 28, 2015, 2 pgs. |
Decision to Grant from the European Patent Office for Patent Application 15192051.91664/3006010, dated Jan. 19, 2017, 3 pgs. |
Further Examination Report from the New Zealand Intellectual Property Office for Patent Application 715098, dated Jun. 13, 2016, 2 pgs. |
Notice of Acceptance from the New Zealand Intellectual Property Office for Patent Application 715098, dated Sep. 9, 2016, 3 pgs. |
Notice of Acceptance from the New Zealand Intellectual Property Office for Patent Application 723930, dated Nov. 16, 2016, 3 pgs. |
Examination Report from the European Patent Office for EPO Application No. 16 167 576.4-1662, dated Oct. 11, 2016, 6 pgs. |
Search Report from the European Patent Office for EPO Application No. 16 167 576.4-1662, dated Sep. 19, 2016, 4 pgs. |
Notice of Acceptance from IP Australia for Patent Application 2016225879, dated Oct. 26, 2016, 3 pgs. |
First Examination Report from the New Zealand Intellectual Property Office for Patent Application 725469, dated Nov. 8, 2016, 2 pgs. |
AAMI and FDA, Infusing Patients Safely: Priority Issues from the AAMI/FDA Infusion Device Summit, Symposium, Oct. 5-6, 2010, pgs. 1-48, AAMI, Arlington, VA, USA. |
Conway, “Analytical Analysis of Tip Travel in a Bourdon Tube”, Master's Thesis, Naval Postgraduate School Monterey, Dec. 1995, pgs. i-89. |
Darzynkiewicz, 'Cytometry', Methods in Cell Biology, 2011, Third Edition Part A, vol. 63, pgs. 44-48, Academic Press, San Diego, 2001. And please see whole document generally. |
“Feature Detection”, OpenCV Wiki, Oct. 31, 2011 (retrieved), 7 pgs, http://opencv.willowgarage.com/documentation/cpp/imgproc_feature_detection.html. |
Galambos et al., “Progressive Probabilistic Hough Transform for Line Detection”, IEEE, 10 pgs, 1999. |
International Search Report & Written Opinion dated May 14, 2012, received in International patent application no. PCT/US2011/066588, 9 pgs. |
International Search Report & Written Opinion dated Jun. 18, 2013, received in International patent application No. PCT/US2012/071142, 14 pgs. |
International Search Report & Written Opinion dated Oct. 1, 2013, received in International patent application No. PCT/US2012/071490, 19 pgs. |
International Search Report & Written Opinion dated Dec. 4, 2013, received in International patent application No. PCT/US2013/032445, 20 pgs. |
International Search Report & Written Opinion dated Nov. 7, 2013, received in International patent application No. PCT/US2013/042350, 18 pgs. |
Invitation to Pay Additional Fees and, Where Applicable, Protest Fee dated Sep. 9, 2013, received in International patent application No. PCT/US2013/032445, 10 pgs. |
Invitation to Pay Additional Fees and, Where Applicable, Protest Fee dated Sep. 26, 2013, received in International patent application No. PCT/US2013/042350, 7 pgs. |
International Preliminary Report on Patentability dated Jul. 3, 2014, received in International patent application No. PCT/US2012/071142, 9 pgs. |
International Search Report dated Feb. 5, 2015, received in International patent application no. PCT/US2014/029020, 7 pgs. |
International Preliminary Report on Patentability and Written Opinion, dated Sep. 15, 2015, received in International patent application No. PCT/US2014/029020, 11 pgs. |
Hofmann, “Modeling Medical Devices for Plug-and-Play Interoperability”, MIT Department of Electrical Engineering and Computer Science, Jun. 2007, pp. 1-187. |
King et al. Prototyping closed loop physiologic control with the medical device coordination framework. In SEHC 2010: Proceedings of the 2010 ICSE Workshop on Software Engineering in Health Care (pp. 1-11). New York, NY: ACM. (2010). |
Jetley et al., “Safety Requirements Based Analysis of Infusion Pump Software”, Proceedings of the IEEE Real Time Systems Symposium, Tuscon, Dec. 2007 pp. 1-4. |
FDA U.S. Food and Drug Administration, “Sedasys ® Computer-Assisted Personalized Sedation System P08000”, Jul. 16, 2013, pp. 1-2, www.fda.gov/MedicalDevices/ProductsandMedicalProcedures/DeviceApprovalsandClearances/Recently-ApprovedDevices/ucm353950.htm. |
Luerkens, David W. “Theory and Application of Morphological Analysis: Fine Particles and Surfaces”. Boca Raton: CRC, 1991. 5-7. |
Matas et al., ‘Progressive Probabilistic Hough Transform’, University of Surrey, Czech Technical University, 1998, pp. 1-10. |
“Miscellaneous Image Transformations”, OpenCV Wiki, 2011, 9 pgs., http://opencv.willowgarage.com/documentation/cpp/miscellaneous_image_transformations. |
National Patient Safety Agency, Design for Patient Safety: A Guide to the Design of Electronic Infusion Devices, booklet, 2010, pp. 1-96, Edition 1, National Patient Safety Agency, London. |
“Object Detection”, OpenCV Wiki, 2011, 2 pgs., http://opencv.willowgarage.com/documentation/cpp/object_detection.html. |
“The OpenCV Reference Manual Release 2.4.6.0”, Jul. 1, 2013, pp. 1-813. |
Leor at al., “A System for the Measurement of Drop Volume Of Intravenous Solutions”, Proceedings Computers in Cardiology 1990, pp. 405-406, Los Alamitos, California. |
Butterfield, “Alaris SE Pump, Monitoring and Detection of IV Line Occlusions.”, CareFusion Corporation, 2010, 4 pgs. |
“Vista Basic: Instructions for Use: Software IFVB”, manual, 2002, pp. 3, B. Braun Medical Inc. |
Hughi et al., “Drop vol. measurement by vision.” Proceedings of SPIE Electronic Imaging Conference, San Diego, Jan. 2000. SPIE vol. 3866-11, pp. 60-66. |
Notification of Non-Compliance With Substantive Requirements and Invitation to Submit Observations and/or Amended Application from the African Regional Intellectual Property Organization (ARIPO) for Application AP/P/2014/007721, dated Apr. 25, 2017. |
Results of Substantive Examination from IMPI for Application MX/a/2014/007751, dated Mar. 31, 2017. |
First Office Action for Chinese Patent Application 201610248658.3, dated Feb. 13, 2017. |
International Search Report & Written Opinion dated Jul. 6, 2017, received in International patent application No. PCT/US2017/015382, 21 pgs. |
Notification from the Eurasian Patent Organization for Application 201491218/32, dated Apr. 19, 2017, 1 pg. |
Examination Report from the European Patent Office for EPO Application No. 16 167 576.4-1662, dated Jun. 1, 2017, 4 pgs. |
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