Systems and methods for ventilation with unknown exhalation flow

Abstract
Systems and methods for ventilation that allows the patient to trigger or initiate the delivery of a breath are provided. Further, systems and methods for triggering ventilation when exhalation flow is unknown or unreliable by the ventilator are provided.
Description
INTRODUCTION

Medical ventilator systems are used to provide ventilatory and supplemental oxygen support to patients. Ventilators typically comprise a source of pressurized oxygen which is fluidly connected to the patient through a conduit or tubing. As each patient may require a different ventilation strategy, ventilators can be customized for the particular needs of an individual patient. For example, several different ventilator modes or settings have been created to provide better ventilation for patients in various different scenarios, such as mandatory ventilation modes and assist control ventilation modes.


VENTILATION WITH UNRELIABLE EXHALATION FLOW AND/OR EXHALATION PRESSURE

This disclosure describes systems and methods for providing novel ventilation that allows the patient to trigger or initiate the delivery of a breath. Further, this disclosure describes systems and methods for triggering ventilation when exhalation flow is unknown or unreliable by the ventilator.


In part, this disclosure describes a method for ventilating a patient with a ventilator. The method includes:


delivering a fixed base flow;


monitoring an exhalation flow, an exhalation pressure, and an exhalation auxiliary pressure during ventilation of the patient with the ventilator to determine a monitored exhalation flow, a monitored exhalation pressure, and a monitored exhalation auxiliary pressure;


detecting a first trigger condition based at least on the monitored exhalation flow;


triggering inspiration in response to the detecting of the first trigger condition;


determining an absence of the monitored exhalation flow; and in response to the determining:

    • ceasing to utilize the first trigger condition based at least on the exhalation flow;
    • estimating the exhalation flow based on the monitored exhalation pressure and the monitored exhalation auxiliary pressure to determine an estimated exhalation flow;
    • detecting a second trigger condition based at least on the estimated exhalation flow; and
    • triggering inspiration during the ventilation in response to the detecting of the second trigger condition.


Yet another aspect of this disclosure describes a ventilator system that includes: a pressure generating system; a ventilation tubing system including a patient interface for connecting the pressure generating system to a patient; an exhalation valve connected to the ventilation tubing system; a plurality of sensors operatively coupled to at least one of the pressure generating system, the patient, and the ventilation tubing system; an exhalation flow estimation module, a driver; a main trigger module; a backup trigger module; and a controller. The pressure generating system generates a flow of breathing gas including a fixed base flow. The plurality of sensors monitors inspiratory pressure, inspiratory flow, exhalation pressure, exhalation auxiliary pressure, and/or exhalation flow to determine a monitored inspiratory pressure, a monitored inspiratory flow, a monitored exhalation pressure, a monitored exhalation auxiliary pressure, and a monitored exhalation flow. The exhalation flow estimation module estimates the exhalation flow based on the monitored exhalation pressure and the monitored exhalation auxiliary pressure to determine an estimated exhalation flow. The driver controls the exhalation valve to deliver ventilation to the patient based at least on at least one of the monitored exhalation flow and the estimated exhalation flow determined based on the exhalation pressure and the exhalation auxiliary pressure. The main trigger module triggers inspiration based on a first of at least one of the following events to occur: detection of a first trigger condition; and expiration of a predetermined amount of exhalation time. The backup trigger module triggers inspiration based on a first of at least one of the following events to occur: detection of a second trigger condition based at least on the estimated exhalation flow; and expiration of the predetermined amount of exhalation time. The controller determines an absence in the monitored exhalation flow and switches from the main trigger module to the backup trigger module.


Yet another aspect of this disclosure describes a method for ventilating a patient with a ventilator. The method includes:


monitoring an exhalation flow, an exhalation pressure, and an exhalation auxiliary pressure during ventilation of the patient with the ventilator to determine a monitored exhalation flow, a monitored exhalation pressure, and a monitored exhalation auxiliary pressure;


delivering ventilation based at least on the monitored exhalation flow;


determining an absence in the monitored exhalation flow;


in response to the absence of the monitored exhalation flow, estimating the exhalation flow based at least on the monitored exhalation pressure to determine an estimated exhalation flow; and


in response to the absence of the monitored exhalation flow, ceasing to deliver the ventilation based at least on the monitored exhalation flow and instead delivering ventilation based at least on the estimated exhalation flow.


These and various other features as well as advantages which characterize the systems and methods described herein will be apparent from a reading of the following detailed description and a review of the associated drawings. Additional features are set forth in the description which follows, and in part will be apparent from the description, or may be learned by practice of the technology. The benefits and features of the technology will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.


It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory and are intended to provide further explanation of the invention as claimed.





BRIEF DESCRIPTION OF THE DRAWINGS

The following drawing figures, which form a part of this application, are illustrative of embodiments of systems and methods described below and are not meant to limit the scope of the invention in any manner, which scope shall be based on the claims.



FIG. 1A is a diagram illustrating an embodiment of an exemplary ventilator.



FIG. 1B illustrates an embodiment of the ventilator shown in FIG. 1A.



FIG. 2 illustrates an embodiment of a method for triggering inspiration during ventilation of a patient on a ventilator.





DETAILED DESCRIPTION

Although the techniques introduced above and discussed in detail below may be implemented for a variety of medical devices, the present disclosure will discuss the implementation of these techniques in the context of a medical ventilator for use in providing ventilation support to a human patient. A person of skill in the art will understand that the technology described in the context of a medical ventilator for human patients could be adapted for use with other systems such as ventilators for non-human patients and general gas transport systems.


Medical ventilators are used to provide a breathing gas to a patient who may otherwise be unable to breathe sufficiently. In modern medical facilities, pressurized air and oxygen sources are often available from wall outlets. Accordingly, ventilators may provide pressure regulating valves (or regulators) connected to centralized sources of pressurized air and pressurized oxygen. The regulating valves function to regulate flow so that respiratory gas having a desired concentration of oxygen is supplied to the patient at desired pressures and rates. Ventilators capable of operating independently of external sources of pressurized air are also available.


As each patient may require a different ventilation strategy, ventilators can be customized for the particular needs of an individual patient. For example, several different ventilator modes or settings have been created to provide better ventilation for patients in various different scenarios, such as mandatory ventilation modes and assist control ventilation modes. Assist control modes allow a spontaneously breathing patient to trigger inspiration during ventilation.


The response performance of a medical ventilator to a patient trigger from exhalation into inhalation phase represents an important characteristic of a medical ventilator. A ventilator's trigger response impacts the patient's work of breathing and the overall patient-ventilator synchrony. The trigger response performance of a ventilator is a function of a patient's inspiratory behavior (breathing effort magnitude and timing characteristics) as well as the ventilator's gas delivery dynamics, flow control parameters (actuator response, dead bands, etc.), and triggering algorithm.


In conventional flow triggering modes, a patient's inspiratory trigger is detected based on the magnitude of flow deviations generated by the patient's inspiratory effort. In a flow triggering mode, the ventilator delivers a fixed base flow during the exhalation phase. Accordingly, flow deviations are sensed by the computation of the ventilator net flow (base flow-exhausted flow) and compared against a set trigger threshold for triggering. As used herein, a trigger condition is met when a situation occurs that should trigger the delivery of a breath. For example, a trigger condition is met when a trigger threshold is breached, or exceeded, a predetermined amount of time has expired, and/or exhalation flow becomes stable.


Base flow is the delivered flow during exhalation and consists of a desired combination of appropriate gases. A fixed base flow may be generated by a controller regulating an actuator (valve) to maintain a constant desired flow rate from a regulated pressurized gas source into the ventilator circuit. The magnitude or the flow rate generated by the regulator at different open positions is determined by an inspiratory flow sensor. Therefore, base flow is determined by the ventilator by measuring the amount of flow delivered to the patient via an inspiration flow sensor during exhalation.


Exhausted flow is measured during the expiratory phase of a ventilator breath while a base flow is delivered through the patient circuit. The terms “expiratory” and “exhalation” are utilized interchangeably herein. Accordingly, the term “expiratory” encompasses the term “exhalation” and the term “exhalation” encompasses “expiratory.” The terms “expiratory” and “exhalation” are used herein denote the phase of a patient breath immediately following the inspiration phase during which the patient exhales gas from his or her lungs. To determine the volume of gas exhaled by the patient, the net flow (total delivered flow minus total flow through exhalation module) is used for integration. That is, the delivered base flow is subtracted from the sum of the base flow and patient flow exiting through the exhalation port. The flow exiting the exhalation module during the active phase of patient exhalation is the sum of base flow delivered by the ventilator and exhaled flow from the patient lung.


In the event of malfunctions and/or system failures in ventilators, ventilators, typically, sound an alarm and stop ventilation. Ventilators stop ventilation because the necessary parameters for delivering the desired ventilation are unreliable or undeterminable due to the malfunction.


For example, the ventilator utilizes several systems and/or components to control the spontaneous triggering of the delivery of a breath to the patient, such as the source of gas, the inspiratory conduit and valve, the inspiratory module, exhalation conduit and valve, an exhalation module, and a controller. The expiratory module utilizes measured expiratory flow and/or expiratory pressure to control the exhalation valve to deliver the desired amount of flow and/or pressure during inspiration and exhalation. For example, the controller controls when to deliver inspiration based on spontaneous effort from the patient which can be determined by exhalation flow. If exhalation flow is unavailable, the ventilator is unable to determine when to trigger delivery of a breath to the patient and therefore ceases ventilation. However, it is desirable to provide ventilation to a patient whose ability to breathe on his or her own is impaired. Accordingly, the systems and methods disclosed herein provide ventilation and maintain comfortable patient-ventilator synchrony in the event that an exhalation flow is unavailable.


In some embodiments, the exhalation module includes a removable exhalation flow sensor. The exhalation flow sensor may be removed to be cleaned and/or replaced. In the absence of an exhalation flow sensor, under fault conditions, or during a malfunction of the exhalation flow sensor, the exhalation flow is unknown or unreliable. Therefore, monitored exhalation flow is unreliable or undeterminable, so a conventional flow triggering algorithm cannot be used to compare the net flow (base flow−exhausted flow) against the trigger threshold. Accordingly, patient initiated triggers cannot be detected by ventilators utilizing conventional triggering methods and prevented the use of a spontaneous mode of ventilation in these ventilators while the exhalation flow sensor was removed or malfunctioning. However, the systems and methods as described herein utilize monitored expiratory pressure and/or monitored expiratory auxiliary pressure to estimate an exhalation flow, when exhalation flow is undeterminable.


An example of a fault condition is presented by the Exhalation Back-Up Ventilation (EBUV) mode under which the data measurement and acquisition subsystem calculate an estimated exhalation flow because the data from the exhalation flow sensor is unavailable and/or unreliable. As discussed above, most conventional ventilators declare an alarm and terminate ventilation. However, the EBUV mode allows a ventilator to continue ventilating the patient under such conditions, thereby maintaining a reduced work of breathing and increased patient-ventilator synchrony when compared to conventional ventilators.


Accordingly, the systems and methods described herein provide for a triggering mechanism when an exhalation flow is undeterminable/unavailable by the ventilator. For example, the exhalation flow is undeterminable by the ventilator when a malfunction is detected in the exhalation flow sensor, and/or when the exhalation flow sensor is removed for cleaning and/or replacement. The capability of triggering without the exhalation flow allows an EBUV mode to maintain comfortable patient-ventilator synchrony. The systems and methods described herein provide a triggering mechanism for a spontaneous patient when the ventilator cannot determine the exhalation flow. The ventilator estimates an exhalation flow based on monitoring exhalation pressure and/or exhalation auxiliary pressure. The estimated exhalation flow is substituted for the actual exhalation flow allowing the traditional flow triggering algorithm to be utilized. For example, the ventilator is able to determine flow deviations by the computation of the ventilator net flow (base flow-estimated exhausted flow) which is compared against a set trigger threshold for triggering.



FIGS. 1A and 1B are diagrams illustrating an embodiment of an exemplary ventilator 100. The exemplary ventilator 100 illustrated in FIG. 1A is connected to a human patient 150. The ventilator 100 includes a pneumatic system 102 (also referred to as a pressure generating system 102) for circulating breathing gases to and from the patient 150 via a ventilation tubing system 130, which couples the patient 150 to the pneumatic system 102 via an invasive (e.g., endotracheal tube, as shown) or a non-invasive (e.g., nasal mask) patient interface 180. The pneumatic system 102 delivers ventilation to the patient 150 according to predetermined or selected modes (spontaneous, assist, mandatory, etc.) and breath types (pressure control, pressure support, pressure assist, volume control, volume support, volume-controlled-pressure-targeted, etc.).


The ventilation tubing system 130 (or patient circuit 130) may be a two-limb (shown) or a one-limb circuit for carrying gases to and from the patient 150. In a two-limb embodiment, a fitting, typically referred to as a “wye-fitting” 170, may be provided to couple the patient interface 180 (shown as an endotracheal tube in FIG. 1A and as a nasal mask in FIG. 1B) to an inspiratory limb 132 and an exhalation limb 134 of the ventilation tubing system 130.


The pneumatic system 102 may be configured in a variety of ways. In the present example, the pneumatic system 102 includes an exhalation module 108 coupled with the exhalation limb 134 and an inspiratory module 104 coupled with the inspiratory limb 132. A compressor 106, accumulator 124 (as illustrated in FIG. 1B) and/or other source(s) of pressurized gases (e.g., air, oxygen, and/or helium) is coupled with the inspiratory module 104 and the exhalation module 108 to provide a gas source for ventilatory support via the inspiratory limb 132. In an embodiment, the pneumatic system 102 is operatively coupled with, and at times receives directions from, a controller 110.


The inspiratory module 104 is configured to deliver gases to the patient 150 and/or through the inspiratory limb 132 according to prescribed ventilatory settings. The inspiratory module 104 is associated with and/or controls an inspiratory delivery valve 101 for controlling gas delivery to the patient 150 and/or gas delivery through the inspiratory limb 132 as illustrated in FIG. 1B. In some embodiments, the inspiratory module 104 is configured to provide ventilation according to various ventilator modes, such as mandatory and assist modes.


The exhalation module 108 is configured to release gases from the patient's lungs and/or exhalation circuit according to prescribed ventilatory settings. Accordingly, the exhalation module 108 also controls gas delivery through the inspiratory limb 132 and the exhalation limb 134. The exhalation module 108 controls an exhalation valve 123 to maintain the prescribed patient's airway pressure and release the flow from the patient's lungs.


The ventilator 100 may include a driver 103 for controlling the exhalation valve 123, the exhalation drive valve 125, and/or an exhalation pump 126, such as jet pump. In some embodiments, the driver 103 is part of the exhalation module 108 as illustrated in FIGS. 1A and 1B. In other embodiments, the driver 103 is included in a different system or module of the ventilator 100, such as the pneumatic system 102 or controller 110. The driver 103 controls the exhalation valve 123 to relieve the over pressure delivered during inhalation to achieve the desired inspiration pressure. Further, the driver 103 controls the exhalation valve 123 to deliver the desired PEEP during exhalation. In some embodiments, the driver 103 is controlled based on a control algorithm that is computed by utilizing monitored exhalation pressure and monitored exhalation flow. The monitored exhalation flow and pressure are determined by one or more of a plurality of sensors 107, which are discussed in further detail below.


In some embodiments, the driver 103 is a differential driver. In other embodiments, the driver 103 is a pulse width modulation driver. The above listed drivers are not meant to be limiting. Any suitable driver for controlling an exhalation module 108 in a ventilator may be utilized by the ventilator 100.


In some embodiments, as illustrated in FIG. 1B, the driver circuit 103a of the driver 103 is communicatively coupled to the exhalation valve 123 and one or more expiratory sensors, such as an expiratory flow sensor 111a, an expiratory pressure sensor 111b, and an exhalation auxiliary pressure sensor 111c as illustrated in FIG. 1B. In further embodiments, the driver circuit 103a of the driver 103 is communicatively coupled to an exhalation pump 126 and exhalation drive valve 125, such as a solenoid valve, that are located upstream of the exhalation auxiliary pressure sensor 111c. Further, the driver 103 is communicatively coupled to other systems and modules of the ventilator 100 such as the exhalation module 108, inspiratory module 104, and/or controller 110.


The expiratory pressure sensor 111b and the exhalation auxiliary pressure sensor 111c are pressure sensors that monitor gas pressure at different locations in the exhalation limb 134. The exhalation pressure sensor 111b is located directly in the exhalation flow path from the patient and monitors gas pressure from the patient to determine a monitored exhalation pressure. The exhalation auxiliary pressure sensor 111c is any pressure sensor in addition to the exhalation pressure sensor 111b located at a second location that is different than the location of the exhalation pressure sensor 111b within the exhalation limb 134. In some embodiments, the exhalation auxiliary pressure sensor 111c is an exhalation drive pressure sensor as illustrated in FIG. 1B. The exhalation drive pressure sensor is a sensor that is located away from the exhalation flow path (or not directly in-line with the exhalation flow path) from the patient and instead monitors gas pressure coming from the exhalation pump 126 and/or the exhalation drive valve 125 to determine a monitored exhalation drive pressure. Accordingly, the exhalation pressure or the monitored exhalation pressure is determined from readings from the exhalation flow sensor 111b. Further, the exhalation auxiliary pressure or the monitored exhalation auxiliary pressure is determined from readings from the exhalation auxiliary pressure sensor 111c. Additionally, the exhalation drive pressure or the monitored exhalation drive pressure (a type of exhalation auxiliary pressure) is determined from readings from an exhalation drive pressure sensor (a type of auxiliary pressure sensor 111c).


The ventilator 100 also includes a main trigger module 113 that triggers inspiration according to prescribed ventilatory settings. In some embodiments, as illustrated in FIG. 1A, the main trigger module 113 is included in a controller 110. In other embodiments the main trigger module 113 is included in a different system or module, such as the pneumatic system 102. In an embodiment, the main trigger module 113 triggers an inspiration based on the first of at least two events, such as the expiration of a predetermined amount of time and detection of a first trigger condition. In other embodiments, the main trigger module 113 triggers an inspiration based on the expiration of a predetermined amount of exhalation time and/or the detection of a first trigger condition.


There are several different trigger types or systems and/or methods utilized by the ventilator 100 for detecting a first trigger condition. In some embodiments, a trigger type for detecting patient effort may be selected or input by an operator. In some embodiments, the trigger type is automatically selected by the ventilator. Any suitable type of triggering detection for determining a patient trigger may be utilized by the ventilator, such as nasal detection, diaphragm detection, and/or brain signal detection. Further, the ventilator may detect patient triggering via a pressure-monitoring method, a flow-monitoring method, direct or indirect measurement of neuromuscular signals, or any other suitable method. Sensors 107 suitable for this detection may include any suitable sensing device as known by a person of skill in the art for a ventilator. In addition, the sensitivity of the ventilator to changes in pressure and/or flow may be adjusted such that the ventilator may properly detect the patient effort, i.e., the lower the pressure or flow change setting the more sensitive the ventilator may be to patient triggering.


Alternatively, the ventilator may detect a flow-triggered event. Specifically, the ventilator may monitor the circuit flow, as described above. If the ventilator detects a slight drop in flow during exhalation, this may indicate, again, that the patient is attempting to inspire. In this case, the ventilator is detecting a drop in baseline flow (or base flow) attributable to a slight redirection of gases into the patient's lungs (in response to a slightly negative pressure gradient as discussed above). Base flow refers to a constant flow existing in the circuit during exhalation that enables the ventilator to detect expiratory flow changes and patient triggering. For example, while gases are generally flowing out of the patient's lungs during exhalation, a drop in flow may occur as some gas is redirected and flows into the lungs in response to the slightly negative pressure gradient between the patient's lungs and the body's surface. Thus, when the ventilator detects a slight drop in flow below the base flow by a predetermined threshold amount (e.g., 2 L/min below base flow), it may interpret the drop as a patient trigger and may consequently initiate inspiration by delivering respiratory gases.


In one embodiment, the ventilator 100 is preconfigured to deliver an inspiration after a predetermined amount of exhalation time to prevent the patient 150 from becoming under-ventilated. Accordingly, the predetermined amount of exhalation time (e.g., known as an apnea interval in some ventilators) is the trigger threshold in this embodiment. For example, the main trigger module 113 will automatically trigger an inspiration after 20 seconds, 30 seconds, or 60 seconds of exhalation time. In some embodiments, the predetermined amount of time is determined by the clinician and/or ventilator 100 based on whether the patient 150 is an infant, child, adult, male, female, and/or suffering from a specific disease state.


The ventilator 100 includes a flow estimation module 117 that estimates an exhalation flow when a malfunction detected by the controller 110 establishes that the exhalation flow is undeterminable or unreliable. In some embodiments, as illustrated in FIG. 1A, the controller 110 includes the flow estimation module 117. In other embodiments, the pneumatic system 102 includes the flow estimation module 117. The terms “undeterminable” and “unreliable”, while having different meanings, are utilized interchangeably herein. Accordingly, the term “unreliable” encompasses the term “undeterminable” and the term “undeterminable” encompasses “unreliable.” In previous systems, if the exhalation flow was not determinable or if the exhalation flow sensor 111a was removed, ventilators utilizing conventional triggering methods could no longer deliver spontaneous ventilation. In order to provide spontaneous ventilation, the ventilator 100 estimates exhalation flow based on the monitored exhalation pressure and/or the monitored exhalation auxiliary pressure as determined by one or more of the plurality of sensors 107. Since an exhalation flow is estimated, the ventilator 100 may continue to spontaneously ventilate, maintaining patient-ventilator synchrony and/or patient comfort. In some embodiments, the flow estimation module 117 is a part of the exhalation module 108 and is communicatively coupled to the exhalation flow sensor 111a, an exhalation pressure sensor 111b and/or an exhalation auxiliary pressure sensor 111c. In other embodiments, the flow estimation module 117 is a part of the inspiratory module 104 or the controller 110. The flow estimation module 117 may also be communicatively coupled to a backup trigger module 115.


In some embodiments, the flow estimation module 117 determines the estimated exhalation flow utilizing the following Equation #1:

Pexp−Pdrv=a·Qexp2+b·Qexp+c,  (#1)

where,

    • Pexp=measured expiratory pressure value in cmH2O;
    • Pdrv=measured exhalation auxiliary pressure value in cmH2O;
    • Qexp=measured exhalation flow (EVQ) value in 1 pm; and
    • a, b, c=constant coefficients.


In order to utilize Equation #1, the constant flow coefficients are determined by the ventilator 100 or the flow estimation module 117 during a calibration test while the exhalation flow is determinable. The calibration test includes measuring and storing the values of Pexp and Pdrv while delivering constant exhalation flow. This test may repeats three times by delivering different exhalation flow each time. The stored Pexp, Pdrv, and Qexp are used to obtain the constant coefficients a, b, and c by solving Equation #1 listed above. Once the constant coefficients are determined for a patient, the determined constant coefficients are stored by the ventilator 100 or the flow estimation module 117 until needed. When the controller 110 detects that the monitored exhalation flow and is undeterminable or unreliable, the flow estimation module 117 derives Equation #2, listed below, from Equation #1 to determine the estimated exhalation flow:










=



-
b

±



b
2

-

4


b


(

c
-

P
exp

+

P
drv


)







2

a



,




(
#2
)








where,



custom character=estimated exhalation flow (EVQ) value in 1 pm.


Because the exhalation flow is not determinable during a removal or malfunction of the exhalation flow sensor 111a, the amount of PEEP delivered may be determined based on the estimated exhalation flow. Further, the estimated exhalation flow is used in an inspiration control algorithm by the inspiration module 104 to deliver the desired inspiration pressure. The driver 103 is controlled based on an exhalation control algorithm to deliver the PEEP that is computed by utilizing the estimated exhalation flow. The monitored exhalation pressure and/or auxiliary pressure are determined by one or more of the plurality of sensors 107. In some embodiments, the monitored exhalation pressure and/or exhalation auxiliary pressure are determined by the exhalation pressure sensor 111b and the exhalation auxiliary pressure sensor 111c.


In further embodiments, other parameters usually determined or calculated by utilizing the exhalation flow are determined by utilizing the estimated exhalation flow, when the exhalation flow is undeterminable. For example, an estimated exhaled tidal volume may be determined utilizing the estimated exhalation flow. In some embodiments, the flow estimation module 117 determines these additional estimated parameters based on the estimated exhalation flow. In other embodiments, the controller 110 or pneumatic system 102 determines these additional estimated parameters based on the estimated exhalation flow. These estimated parameters, such as an estimated exhalation tidal volume, are communicated to other components of the ventilator 100, such as the display 122.


Further, in some embodiments, the ventilator 100 includes a backup trigger module 115. In some embodiments, the backup trigger module 115 triggers inspiration according to prescribed ventilatory settings while the ventilator is in the EBUV mode. The controller 110 utilizes the backup trigger module 115 when a malfunction or a removal of the exhalation flow sensor 111a is detected by the ventilator 100 or a subsystem of the ventilator, such as the controller 110. The malfunction/removal prevents the monitored exhalation flow from being determined. In some embodiments, as illustrated in FIG. 1A, the controller 110 includes the backup trigger module 115. In other embodiments, the pneumatic system 102 includes the backup trigger module 115.


In some embodiments, the backup trigger module 115 triggers inspiration based on the first of at least two events, such as the expiration of a predetermined amount of time and the detection of a second trigger condition. In other embodiments, the backup trigger module 115 triggers inspiration based on the expiration of a predetermined amount of time and/or the detection of a second trigger condition. In some embodiments, the second trigger condition is a trigger threshold based on a flow deviation. In another embodiment, the second trigger condition is an inspiratory trigger threshold. In an embodiment, the backup trigger module 115 utilizes a fixed base flow, such as but not limited to 1.5 LPM, delivered by the pneumatic system 102 and an estimated exhalation flow, estimated by the flow estimation module 117, to determine a flow deviation, or net flow, which is compared to the trigger threshold. If the flow deviation breaches the trigger threshold then the controller 110 instructs the pneumatic system 102 to deliver a breath.


In some embodiments, the flow deviation is determined by adding or subtracting one of the fixed base flow and the estimated exhalation flow from the other. Because the exhalation flow is not determinable, an estimated exhalation flow is used to determine a flow deviation to be compared to the trigger threshold. The use of estimated exhalation flow allows the ventilator to continue triggering spontaneous breaths for the patient therefore maintaining patient-ventilator synchrony and patient comfort. The estimated exhalation flow is determined by the flow estimation module 117. In an embodiment, if the backup trigger module 115 determines that ventilator and/or patient parameters meet and/or exceed an inspiration trigger threshold during exhalation, the backup trigger module 115 instructs the inspiratory module 104 to deliver an inspiration, which effectively ends the exhalation phase. In another embodiment the backup trigger module 115 is included in a different system such as the pneumatic system 102.


If the backup trigger module 115 determines that ventilator and/or patient parameters do not meet and/or exceed an inspiration trigger threshold during exhalation, the backup trigger module 115 continues to monitor the ventilator and/or patient parameters and compare them to a trigger threshold until the ventilator and/or patient parameters meet and/or exceed a trigger threshold, an exhalation flow is determinable, or until the expiration of a predetermined amount of exhalation time. If a trigger threshold is not breached within a predetermined amount of time, then the ventilator 100 will deliver a breath at the expiration of the predetermined amount of exhalation time. In some embodiments, the predetermined amount of exhalation time, such as but not limited to 20 seconds, 30 seconds, or 60 seconds of exhalation time, starts to elapse upon the delivery of a breath. The predetermined amount of time may be input by the clinician or calculated by the ventilator.


In another embodiment, the second trigger condition is met when the patient 150 reaches a stable portion of exhalation as determined by the backup trigger module 115. In order to determine a stable portion of exhalation, the ventilator 100 monitors the estimated exhalation flow. In some embodiments, the backup trigger module 115 collects multiple exhalation flow estimates for a set period during exhalation after the expiration of a restricted period. The restricted period as used herein is a predetermined time period that starts at the beginning of exhalation. The patient 150 is prevented from triggering ventilation during the predetermined time period of the restricted period. For example, the restricted period may be 25 ms, 50 ms, 100 ms, 200 ms, and/or any other suitable time period for preventing the patient 150 from triggering inspiration. In other embodiments, the backup trigger module 115 determines a stable portion of exhalation without utilizing a restricted period. In an embodiment, the backup trigger module 115 determines stability by monitoring the estimated exhalation flow every computation cycle. In some embodiments, the computational cycle is every 5 ms. If the difference between two successive exhalation flow estimates is zero, or about zero, then a stable portion of exhalation has been determined and the backup trigger module 115 will instruct the ventilator 100 to deliver a breath. In an additional embodiment, the second trigger condition is met when the patient 150 after reaching a stable portion of exhalation detects a negative change in base flow as determined by the backup trigger module 115.


In some embodiments, the trigger modules 113, 115 utilize a change in flow rate as an inspiration trigger threshold. For example, the inspiration trigger threshold may be a change in flow rate of −1.5 liters per minute (LPM), −2 LPM, −3 LPM, −4 LPM, −5 LPM, −6 LPM, −7 LPM, and −8 LPM or may be a range of a change in flow rate, such as a range of −3 LPM to −6 LPM or −4 LPM to −7 LPM. This list is exemplary only and is not meant to be limiting. Any suitable changes in flow rate may be utilized by the trigger modules 113, 115 for triggering an inspiration. For example, in some embodiments, the trigger threshold is any detected drop in flow rate that is at least 1.5 LPM.


The controller 110 is operatively coupled with the pneumatic system 102, signal measurement and acquisition systems such as but not limited to a plurality of sensors 107, and an operator interface 120 that may enable an operator to interact with the ventilator 100 (e.g., change ventilator settings, select operational modes, view monitored parameters, etc.).


In some embodiments, the controller 110 includes memory 112, one or more processors 116, storage 114, and/or other components of the type commonly found in command and control computing devices, as illustrated in FIG. 1A. In alternative embodiments, the controller 110 is a separate component from the operator interface 120 and pneumatic system 102. In other embodiments, the controller 110 is located in other components of the ventilator 100, such as in the pressure generating system 102 (also known as the pneumatic system 102).


The memory 112 includes non-transitory, computer-readable storage media that stores software that is executed by the processor 116 and which controls the operation of the ventilator 100. In an embodiment, the memory 112 includes one or more solid-state storage devices such as flash memory chips. In an alternative embodiment, the memory 112 may be mass storage connected to the processor 116 through a mass storage controller (not shown) and a communications bus (not shown). Although the description of computer-readable media contained herein refers to a solid-state storage, it should be appreciated by those skilled in the art that computer-readable storage media can be any available media that can be accessed by the processor 116. That is, computer-readable storage media includes non-transitory, volatile and non-volatile, removable and non-removable media implemented in any method or technology for storage of information such as computer-readable instructions, data structures, program modules or other data. For example, computer-readable storage media includes RAM, ROM, EPROM, EEPROM, flash memory or other solid state memory technology, CD-ROM, DVD, or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store the desired information and which can be accessed by the computer.


Further, the controller 110 determines if the exhalation flow undeterminable and/or unreliable. Accordingly, the controller 110 determines if the exhalation flow sensor 111a has been removed or if the exhalation flow sensor 111a is malfunctioning. If the exhalation flow sensor 111a is determined to be removed and/or malfunctioning by the controller 110, then the monitored expiratory flow is unreliable.


Several different systems and methods are currently utilized and known in the art for determining a malfunction in a sensor or for determining if a sensor has been removed. The controller 110 detects a malfunction or a removal utilizing any of these known systems or methods. For example, malfunctions or removals may be detected based on changes in voltages, temperatures, wattages, coefficients, humidity, and/or overcurrent for the exhalation flow sensor 111a of the exhalation module 108.


If the controller 110 determines that the exhalation flow is undeterminable, the controller 110 switches from, or instructs a switch from, the main trigger module 113 to the backup trigger module 115. In an embodiment, the backup trigger module 115 activates the flow estimation module 117 which estimates the exhalation flow based on the monitored inspiratory pressure and/or monitored inspiratory flow. The ventilator 100 is able to maintain a spontaneous breath mode of ventilation even when the exhalation flow sensor is removed or malfunctioning. During the spontaneous breath mode of ventilation, the inspiratory triggering is based on an estimated exhalation flow instead of a monitored exhalation flow. Further, the controller 110 instructs the pneumatic system 102 to deliver an EBUV mode of ventilation. The EBUV mode is a spontaneous mode of ventilation. The pressure to be administered to the patient 150 during inspiration and exhalation of the spontaneous breath is determined by the ventilator 100. Further, the inspiratory time, and respiratory rate for the patient 150 are also determined by the ventilator 100. These variables determine the pressure of the gas delivered to the patient 150 during each spontaneous breath inspiration and exhalation. For the EBUV mode, when the inspiratory time is equal to the prescribed inspiratory time, the ventilator 100 initiates exhalation. Exhalation lasts from the end of inspiration until an inspiratory trigger is detected or until the expiration of a predetermined amount of time. Upon the detection of an inspiratory trigger, another spontaneous breath is given to the patient 150.


During an EBUV mode, the ventilator 100 maintains the same pressure waveform at the mouth, regardless of variations in lung or airway characteristics, e.g., respiratory compliance and/or respiratory resistance. However, the volume and flow waveforms may fluctuate based on lung and airway characteristics. In some embodiments, the ventilator 100 determines the set pressure (including the inspiratory pressure and the PEEP), the inspiratory time, and respiration rate based on known ventilator parameters that have not been corrupted by the determined malfunction, such as weight, height, sex, age, and disease state. In other embodiments, the set pressure (including the inspiratory pressure and the PEEP), the inspiratory time, and the respiration rate are predetermined by the ventilator 100 upon the detection of an undeterminable exhalation flow and are the same for any patient 150 being ventilated by the ventilator 100.


If the controller 110 does not determine a malfunction or absence in the exhalation flow, the controller 110 does not change to the backup trigger module 115 and continues to trigger an inspiration utilizing the main trigger module 113. In some embodiments, if the controller 110 determines a malfunction or absence of the exhalation flow, the controller 110 switches to the backup trigger module 115 to trigger inspiration from the main trigger module 113. In some embodiments, the controller 110 is part of the exhalation module 108. In some embodiments, the controller 110 is part of the pneumatic system 102. In other embodiments, the controller 110 is a module separate from the pneumatic system 102.


The ventilator 100 also includes a plurality of sensors 107 communicatively coupled to the ventilator 100. The sensors 107 may be located in the pneumatic system 102, ventilation tubing system 130, and/or on the patient 150. The embodiment of FIG. 1A illustrates a plurality of sensors 107 in pneumatic system 102.


The sensors 107 may communicate with various components of the ventilator 100, e.g., the pneumatic system 102, other sensors 107, the exhalation module 108, the inspiratory module 104, a processor 116, the controller 110, and any other suitable components and/or modules. In one embodiment, the sensors 107 generate output and send this output to the pneumatic system 102, other sensors 107, the exhalation module 108, the inspiratory module 104, the processor 116, the controller 110, the main trigger module 113, the backup trigger module 115, the flow estimation module 117, and any other suitable components and/or modules.


The sensors 107 may employ any suitable sensory or derivative technique for monitoring one or more patient parameters or ventilator parameters associated with the ventilation of a patient 150. The sensors 107 may detect changes in patient parameters indicative of patient inspiratory or exhalation triggering effort, for example. The sensors 107 may be placed in any suitable location, e.g., within the ventilatory circuitry or other devices communicatively coupled to the ventilator 100. Further, the sensors 107 may be placed in any suitable internal location, such as, within the ventilatory circuitry or within components or modules of the ventilator 100. For example, the sensors 107 may be coupled to the inspiratory and/or exhalation modules 104, 108 for detecting changes in, for example, inspiratory flow, inspiratory pressure, expiratory pressure, and expiratory flow. In other examples, the sensors 107 may be affixed to the ventilatory tubing 130 or may be embedded in the tubing itself. According to some embodiments, the sensors 107 may be provided at or near the lungs (or diaphragm) for detecting a pressure in the lungs. Additionally or alternatively, the sensors 107 may be affixed or embedded in or near the wye-fitting 170 and/or patient interface 180. Any sensory device useful for monitoring changes in measurable parameters during ventilatory treatment may be employed in accordance with embodiments described herein.


For example, in some embodiments, the one or more sensors 107 of the ventilator 100 include an inspiratory flow sensor 109a and an exhalation flow sensor 111a as illustrated in FIG. 1B. In one embodiment, the inspiratory flow sensor 109a is located in the inspiratory limb 132 and is controlled by the inspiratory module 104 and/or the flow estimation module 117. However, the inspiratory flow sensor 109a may be located in any suitable position for monitoring inspiratory flow and may be monitored by any suitable ventilator component, such as the pressure generating system 102. In one embodiment, the exhalation flow sensor 111a is located in the exhalation limb 134 and is monitored by the exhalation module 108 and/or the controller 110, including the main trigger module 113 and/or the backup trigger module 115. However, the exhalation flow sensor 111a may be located in any suitable position for monitoring exhalation flow and may be monitored by any suitable ventilator component, such as the pressure generating system 102 and the driver 103. In some embodiments, the exhalation flow sensor 111a is removable and located downstream of the exhalation valve 123 as illustrated in FIG. 1B.


Further, in some embodiments, the one or more sensors 107 of the ventilator 100 also include an inspiratory pressure sensor 109b, an exhalation pressure sensor 111b, and/or an exhalation auxiliary pressure sensor 111c as illustrated in FIG. 1B. In one embodiment, the inspiratory pressure sensor 109b is located in the inspiratory limb 132 and is controlled by the inspiratory module 104 and the flow estimation module 117. However, the inspiratory pressure sensor 109b may be located in any suitable position for monitoring inspiratory pressure and may be monitored by any suitable ventilator component, such as the pressure generating system 102. In one embodiment, the exhalation pressure sensor 111b is located in the exhalation limb 134 and is monitored by the exhalation module 108 and/or the controller 110. However, the exhalation pressure sensor 111b may be located in any suitable position for monitoring exhalation pressure and may be monitored by any suitable ventilator component, such as the pressure generating system 102 and driver 103. In some embodiments, as illustrated in FIG. 1B, the exhalation pressure sensor 111b is located upstream of the exhalation pump 126 and/or the exhalation valve 123. The exhalation auxiliary pressure sensor 111c is located in the exhalation limb 134 downstream from the exhalation pump 126 and is monitored by the exhalation module 108 and/or the controller 110. However, the exhalation auxiliary pressure sensor 111c may be located in any suitable position for monitoring exhalation auxiliary pressure and may be monitored by any suitable ventilator component, such as the pressure generating system 102 and driver 103.


The exhalation pressure sensor 111b and the exhalation auxiliary pressure sensor 111c measure exhalation pressure, while the exhalation flow sensor 111a measures exhalation flow. The exhalation flow sensor 111a is a different type of sensor than the exhalation pressure sensor 111b and the exhalation auxiliary pressure sensor 111c.


As should be appreciated, with reference to the Equation of Motion, ventilatory parameters are highly interrelated and, according to embodiments, may be either directly or indirectly monitored. That is, parameters may be directly monitored by one or more sensors 107, as described above, or may be indirectly monitored or estimated by derivation according to the Equation of Motion or other known relationships


In some embodiments, the sensor measurements are adjusted for error. In some embodiments, the exhalation flow sensor 111a is adjusted error. For example, during a flow calibration test, the exhalation flow sensor 111a readings may be compared to another more accurate flow sensor in the patient circuit 130. The difference between the exhalation flow sensor 111a measurement and this other flow sensor's measurement may be calculated and stored by the ventilator 100. In some embodiments, the inspiration flow sensor is more accurate than the exhalation flow sensor 111a and is utilized during the flow calibration test to calculate the exhalation flow sensor error. This stored difference should represent exhalation flow sensor 111a error and, as such, may be added to each exhalation flow sensor 111a measurement during ventilation of a patient after the calibration to adjust for this determined error. Adjusting the exhalation flow sensor 111a or other sensors for error improves the patient-ventilator synchrony.


The pneumatic system 102 may include a variety of other components, including mixing modules, valves, tubing, accumulators 124, filters, etc. For example, FIG. 1B illustrates the use of an accumulator 124.


In one embodiment, the operator interface 120 of the ventilator 100 includes a display 122 communicatively coupled to the ventilator 100. The display 122 provides various input screens, for receiving clinician input, and various display screens, for presenting useful information to the clinician. In one embodiment, the display 122 is configured to include a graphical user interface (GUI). The GUI may be an interactive display, e.g., a touch-sensitive screen or otherwise, and may provide various windows and elements for receiving input and interface command operations. Alternatively, other suitable means of communication with the ventilator 100 may be provided, for instance by a wheel, keyboard, mouse, or other suitable interactive device. Thus, the operator interface 120 may accept commands and input through the display 122.


The display 122 may also provide useful information in the form of various ventilatory data regarding the physical condition of the patient 150. The useful information may be derived by the ventilator 100, based on data collected by the processor 116, and the useful information may be displayed to the clinician in the form of graphs, wave representations, pie graphs, text, or other suitable forms of graphic display. For example, patient data may be displayed on the GUI and/or display 122. Additionally or alternatively, patient data may be communicated to a remote monitoring system coupled via any suitable means to the ventilator 100. In some embodiments, the display 122 may illustrate the use of an EBUV mode and/or any other information known, received, or stored by the ventilator 100, such as the estimated exhalation flow, the net flow utilizing estimated exhalation flow, estimated exhalation tidal volume, the predetermined flow deviation trigger threshold, a display representative of the time left before expiration of the predetermined amount of time, and/or other parameters determined based on estimated exhalation flow.



FIG. 2 illustrates an embodiment of a method 200 for triggering inspiration during ventilation of a patient on a ventilator. Further, the method 200 provides ventilation after a malfunction in the exhalation flow sensor or a removal of the exhalation flow sensor is detected that prevents the exhalation flow from being determined and/or reliable. The ventilation provided after the exhalation flow is undeterminable is referred to herein as an exhalation backup-ventilation mode (EBUV). The method 200 begins at the start of ventilation.


As illustrated, the method 200 includes a fixed base flow delivery operation 202. During the fixed base flow delivery operation 202, the ventilator delivers a fixed base flow. The fixed base flow is a continuous flow of gas through the ventilation tubing system from the inspiratory limb through the exhalation limb. This continuous flow allows the ventilator to trigger inspiration as well as determine the phase of breath (i.e. inhalation, exhalation, or between breaths) the patient is currently in. For example, if the flow through the exhalation limb is equal and opposite of the flow through the inspiratory limb, then the ventilator determines that the patient is currently between breaths as there is no flow into or out of the lungs of the patient. In a further example, if the flow through the inspiratory limb exceeds the flow through the exhalation limb, then the ventilator determines that the patient is inhaling and the flow of gas is going into the patient's lungs. In yet a further example, if the flow through the exhalation limb exceeds the flow through the inspiratory limb, then the ventilator determines that the patient is exhaling and the flow of gas is flowing from the patient's lungs (and inspiratory limb) through the exhalation limb.


Further, the method 200 includes a monitoring operation 204. During the monitoring operation 204, the ventilator monitors ventilator parameters. In some embodiments, the ventilator during the monitoring operation 204 monitors numerous ventilator parameters. As used herein ventilator parameters include any parameter that may be monitored by the ventilator. In an embodiment, the ventilator during the monitoring operation 204 monitors inspiratory flow, inspiratory pressure, exhalation flow, exhalation pressure, and/or auxiliary pressure. Sensors suitable for this detection may include any suitable sensing device as known by a person of skill in the art for a ventilator, such as an inspiratory flow sensor, inspiratory pressure sensor, an exhalation flow sensor, an exhalation pressure sensor, and/or exhalation auxiliary pressure sensor. In an embodiment, the ventilator during the monitoring operation 204 delivers ventilation based at least on the monitored exhalation flow.


The method 200 further includes a malfunction decision operation 206. During the malfunction decision operation 206, the ventilator determines if the exhalation flow is undeterminable. The ventilator during the malfunction decision operation 206 determines that the exhalation flow is undeterminable if the exhalation flow sensor is removed or if the exhalation flow sensor is malfunctioning.


Several different systems and methods are currently utilized and known in the art for determining a malfunction or a removal of an exhalation flow sensor. The ventilator during the malfunction decision operation 206 detects a malfunction or a removal utilizing any of these known systems or methods. For example, malfunctions or a removal may be detected based on changes in voltages, temperatures, wattages, coefficients, humidity, and/or overcurrent for the exhalation flow sensor. In an embodiment, during the malfunction decision operation 206, if the ventilator determines a malfunction or a removal, the ventilator displays information relating to the malfunction, the removal, or the EBUV mode such as, but not limited to, an indicator that displays the use of an EBUV mode, an estimated exhalation flow value, a flow deviation, a flow deviation trigger threshold, a trigger threshold, a predetermined amount of time used as a trigger threshold, estimated exhalation tidal volume, other estimated parameters determined utilizing the estimated exhalation flow, an indicator or notification that the exhalation flow sensor has been removed, and/or an indicator or notification of the presence of a malfunction in the exhalation flow sensor.


If the ventilator during the malfunction decision operation 206 determines that the exhalation flow is undeterminable, the ventilator selects to perform an estimation operation 210. If the ventilator during the malfunction decision operation 206 is able to determine the exhalation flow, the ventilator selects to perform a monitored trigger detection operation 208.


The method 200 includes a monitored trigger detection operation 208. The ventilator during the monitored trigger detection operation 208 determines if a first inspiratory trigger is detected. The first inspiratory trigger is detected when a monitored patient and/or ventilator parameter exceeds, or breaches, an inspiratory trigger threshold. In some embodiments, the inspiratory trigger threshold is received from operator input. In other embodiments, the inspiratory trigger threshold is based on ventilator and/or patient parameters. In some embodiments, a net negative change in flow rate below a delivered base flow is the inspiratory trigger threshold. For example, the inspiratory trigger threshold may be a change in flow rate of −1.5 LPM, −2 LPM, −3 LPM, −4 LPM, −5 LPM, −6 LPM, −7 LPM, and −8 LPM or may be a range of a change in flow rate, such as a range of −3 LPM to −6 LPM or −4 LPM to −7 LPM. This list is exemplary only and is not meant to be limiting. Any suitable change in flow rate below the delivered base flow may be utilized by the ventilator as the inspiratory trigger threshold during the monitored trigger detection operation 208. In an embodiment, a known fixed base flow and a monitored exhalation flow are combined, such as arithmetically, to determine a first net flow, or first flow deviation, that is compared against the inspiratory trigger threshold. A slight drop in the base flow through the exhalation module during exhalation may indicate that a patient is attempting to inspire. A drop in base flow is attributable to a redirection of gases into the patient's lungs (in response to a slightly negative pressure gradient).


In another embodiment, the first trigger condition is met when the patient reaches a stable portion of exhalation as determined by the ventilator during the monitored trigger detection operation 208. In order to determine a stable portion of exhalation the ventilator monitors exhalation flow and/or exhalation pressure. In some embodiments, the ventilator during the monitored trigger detection operation 208 collects multiple exhalation flow and/or exhalation pressure readings for a set period during exhalation after the expiration of a restricted period. The restricted period as used herein is a predetermined time period that starts at the beginning of exhalation. The patient is prevented from triggering ventilation during the predetermined time period of the restricted period. For example, the restricted period may be 25 ms, 50 ms, 100 ms, 200 ms, and/or any other suitable time period for preventing the patient from triggering inspiration. In an embodiment, the ventilator during the monitored trigger detection operation 208 determines stability by monitoring the exhalation flow every computation cycle. In some embodiments, the computational cycle is every 5 ms. If the difference between two successive exhalation flow readings is zero, or near zero, then a stable portion of exhalation has been determined and the ventilator selects to perform a delivery operation 214.


In an embodiment, if the ventilator during the monitored trigger detection operation 208 determines that ventilator and/or patient parameters meet and/or exceed the inspiratory trigger threshold, or first trigger condition, during exhalation, the ventilator selects to perform a delivery operation 214. If the ventilator during the monitored trigger detection operation 208 determines that ventilator and/or patient parameters do not meet and/or exceed the inspiratory trigger threshold during exhalation, or the first trigger condition, the ventilator performs malfunction decision operation 206 again.


In one embodiment, the ventilator is preconfigured to select to perform a delivery operation 214 after a predetermined amount of exhalation time to prevent the patient from becoming under-ventilated. Accordingly, the predetermined amount of exhalation time (e.g., known as an apnea interval in some ventilators) is the trigger threshold, or the first trigger condition, in this embodiment. For example, the ventilator during the monitored trigger detection operation 208 will automatically select to perform a delivery operation 214 after 20 seconds, 30 seconds, or 60 seconds of exhalation time. In some embodiments, the predetermined amount of time may be input by the clinician or calculated by the ventilator. In some embodiments, the predetermined amount of time is determined by the clinician and/or ventilator based on whether the patient is an infant, child, adult, male, female, and/or suffering from a specific disease state.


The method 200 includes the estimation operation 210. The ventilator during the estimation operation 210 determines an estimated exhalation flow or updates a previously calculated estimated exhalation flow with a more current estimated exhalation flow. The exhalation flow is estimated because the ventilator is not able to determine a reliable exhalation flow if the exhalation flow sensor is malfunctioning or removed. For example, the ventilator cannot determine the exhalation flow during EBUV. In an embodiment, the ventilator during the estimation operation 210 ceases providing ventilation based on the monitored exhalation flow and instead provides ventilation based at least on the estimated exhalation flow. Once the estimated exhalation flow is determined, the ventilator selects to perform an estimated trigger detection operation 212.


The ventilator during estimation operation 210 determines the estimated exhalation flow based on the monitored exhalation pressure and/or exhalation auxiliary pressure. In some embodiments, the ventilator during estimation operation 210 determines the estimated exhalation flow utilizing Equation #2. In order to utilize Equation #2, the ventilator during estimation operation 210 determines the constant flow coefficients during a calibration test while the exhalation flow is determinable utilizing Equation #1. Once the constant coefficients are determined for a patient, the determined constant coefficients are stored by the ventilator for use by the estimation operation 210.


In some embodiments, the ventilator during estimation operation 210 determines additional parameters utilizing the estimated exhalation flow. Parameters that are determined utilizing the estimated exhalation flow are referred to herein as estimated parameters. For example, the estimated exhalation flow may be utilized by the ventilator during estimation operation 210 to determine an estimated exhalation tidal volume.


The method 200 includes the estimated trigger detection operation 212. The ventilator during the estimated trigger detection operation 212 determines if a second inspiratory trigger is detected. The second inspiratory trigger is detected when an estimated patient and/or ventilator parameter exceeds, or breaches, an inspiratory trigger threshold. In some embodiments, the inspiratory trigger threshold is received from operator input. In other embodiments, the inspiratory trigger threshold is based on ventilator and/or patient parameters. In some embodiments, a net negative change in flow rate below a delivered base flow is the inspiratory trigger threshold. For example, the inspiratory trigger threshold may be a change in flow rate of −1.5 LPM, −2 LPM, −3 LPM, −4 LPM, −5 LPM, −6 LPM, −7 LPM, and −8 LPM or may be a range of a change in flow rate, such as a range of −3 LPM to −6 LPM or −4 LPM to −7 LPM. This list is exemplary only and is not meant to be limiting. Any suitable change in flow rate below the delivered base flow may be utilized by the ventilator as the inspiratory trigger threshold during the estimated trigger detection operation 212. Because the monitored exhalation flow is undeterminable or unreliable, the estimated exhalation flow is combined with a known fixed base flow, such as arithmetically, to determine a second net flow, or second flow deviation, that is compared against the inspiratory trigger threshold. A slight drop in the base flow through the exhalation module during exhalation may indicate that a patient is attempting to inspire. A drop in base flow is attributable to a redirection of gases into the patient's lungs (in response to a slightly negative pressure gradient).


In another embodiment, the second trigger condition is met when the patient reaches a stable portion of exhalation as determined by the ventilator during the estimated trigger detection operation 212. In order to determine a stable portion of exhalation the ventilator during the estimated trigger detection operation 212 monitors the estimated exhalation flow. In some embodiments, the ventilator during the estimated trigger detection operation 212 collects multiple exhalation flow estimates for a set period during exhalation after the expiration of a restricted period. The restricted period as used herein is a predetermined time period that starts at the beginning of exhalation. The patient is prevented from triggering ventilation during the predetermined time period of the restricted period. For example, the restricted period may be 25 ms, 50 ms, 100 ms, 200 ms, and/or any other suitable time period for preventing the patient from triggering inspiration. In an embodiment, the ventilator during the estimated trigger detection operation 212 determines stability by monitoring the estimated exhalation flow every computation cycle. In some embodiments, the computational cycle is every 5 ms. If the difference between two successive exhalation flow estimates is zero, or near zero, then a stable portion of exhalation has been determined and the ventilator selects to perform a delivery operation 214.


In an embodiment, if the ventilator during the estimated trigger detection operation 212 determines that ventilator and/or patient parameters meet and/or exceed the inspiratory trigger threshold during exhalation, or the second trigger condition, the ventilator selects to perform a delivery operation 214. If the ventilator during the estimated trigger detection operation 212 determines that ventilator and/or patient parameters do not meet and/or exceed the inspiratory trigger threshold during exhalation, or the second trigger condition, the ventilator performs malfunction decision operation 206 again.


In one embodiment, the ventilator is preconfigured to select to perform a delivery operation 214 after a predetermined amount of exhalation time to prevent the patient from becoming under-ventilated. Accordingly, the predetermined amount of exhalation time is the trigger threshold, or second trigger condition, in this embodiment. For example, the ventilator during the estimated trigger detection operation 212 will automatically select to perform a delivery operation 214 after 20 seconds, 30 seconds, or 60 seconds of exhalation time. In some embodiments, the predetermined amount of time may be input by the clinician or calculated by the ventilator. In some embodiments, the predetermined amount of time is determined by the clinician and/or ventilator based on whether the patient is an infant, child, adult, male, female, and/or suffering from a specific disease state.


Further, the method 200 includes the delivery operation 214. The ventilator during the delivery operation 214 delivers a next breath to the patient. The breath delivered to the patient may be determined by the ventilator and/or patient parameters. For example, the delivered breath may be based on a selected breath type or ventilation mode, such as EBUV. After the breath is delivered to the patient, the ventilator selects to return to the monitoring operation 204.


Those skilled in the art will recognize that the methods and systems of the present disclosure may be implemented in many manners and as such are not to be limited by the foregoing exemplary embodiments and examples. In other words, functional elements being performed by a single or multiple components, in various combinations of hardware and software or firmware, and individual functions, can be distributed among software applications at either the client or server level or both. In this regard, any number of the features of the different embodiments described herein may be combined into single or multiple embodiments, and alternate embodiments having fewer than or more than all of the features herein described are possible. Functionality may also be, in whole or in part, distributed among multiple components, in manners now known or to become known. Thus, myriad software/hardware/firmware combinations are possible in achieving the functions, features, interfaces and preferences described herein. Moreover, the scope of the present disclosure covers conventionally known manners for carrying out the described features and functions and interfaces, and those variations and modifications that may be made to the hardware or software firmware components described herein as would be understood by those skilled in the art now and hereafter.


Numerous other changes may be made which will readily suggest themselves to those skilled in the art and which are encompassed in the spirit of the disclosure and as defined in the appended claims. While various embodiments have been described for purposes of this disclosure, various changes and modifications may be made which are well within the scope of the present invention. Numerous other changes may be made which will readily suggest themselves to those skilled in the art and which are encompassed in the spirit of the disclosure and as defined in the claims.

Claims
  • 1. A method for ventilating a patient with a ventilator, comprising: delivering a fixed base flow;monitoring an exhalation flow, an exhalation pressure, and an exhalation auxiliary pressure during ventilation of the patient with the fixed base flow based on output from one or more sensors to determine a monitored exhalation flow, a monitored exhalation pressure, and a monitored exhalation auxiliary pressure;detecting a first trigger condition based at least on the monitored exhalation flow;triggering inspiration in response to the detecting of the first trigger condition;determining an absence of the monitored exhalation flow with the ventilator based on the output from the one or more sensors; and the ventilator in response to the determining: ceasing to utilize the first trigger condition based at least on the exhalation flow;estimating the exhalation flow based on the monitored exhalation pressure and the monitored exhalation auxiliary pressure to determine an estimated exhalation flow;detecting a second trigger condition based at least on the estimated exhalation flow; andtriggering inspiration during the ventilation in response to the detecting of the second trigger condition.
  • 2. The method of claim 1, wherein the second trigger condition is detection of a stable portion of exhalation flow at about zero.
  • 3. The method of claim 1, wherein the second trigger condition is a negative change in base flow after a stable portion of exhalation is reached decreases below zero.
  • 4. The method of claim 1, wherein the second trigger condition is a flow deviation based on the fixed base flow and the estimated exhalation flow that breaches a trigger threshold.
  • 5. The method of claim 4, wherein the trigger threshold is a drop in the estimated exhalation flow of at least 1.5 LPM.
  • 6. The method of claim 4, wherein the trigger threshold is a range of a change in flow of −0.1 LPM to −20 LPM.
  • 7. The method of claim 1, further comprising: monitoring an exhalation time during the ventilation of the patient with the ventilator;detecting a third trigger condition based at least on a monitored exhalation time; andtriggering inspiration in response to the detecting of the third trigger condition.
  • 8. The method of claim 7, wherein the third trigger condition is the exhalation time of at least 20 seconds.
  • 9. The method of claim 1, wherein the absence of the monitored exhalation flow is because an exhalation flow sensor is removed from the ventilator.
  • 10. The method of claim 1, wherein the absence of the monitored exhalation flow is because of a malfunction in an exhalation flow sensor.
  • 11. The method of claim 1, further comprising: determining an estimated exhaled tidal volume based at least on the estimated exhalation flow in response to the detecting of the absence of the monitored exhalation flow; anddisplaying the estimated exhaled tidal volume.
  • 12. The method of claim 1, further comprising: in response to the absence of the monitored exhalation flow: displaying at least one of a notification that an exhalation flow sensor is removed, a notification that the exhalation flow sensor is malfunctioning, the estimated exhalation flow, and the second trigger condition.
  • 13. A ventilator system comprising: a pressure generating system that generates a flow of breathing gas including a fixed base flow;a ventilation tubing system including a patient interface for connecting the pressure generating system to a patient;an exhalation valve connected to the ventilation tubing system;a plurality of sensors operatively coupled to at least one of the pressure generating system, the patient, and the ventilation tubing system for monitoring inspiratory pressure, inspiratory flow, exhalation pressure, exhalation auxiliary pressure, and exhalation flow to determine a monitored inspiratory pressure, a monitored inspiratory flow, a monitored exhalation pressure, a monitored exhalation auxiliary pressure, and a monitored exhalation flow;an exhalation flow estimation module, the exhalation flow estimation module estimates the exhalation flow based on the monitored exhalation pressure and the monitored exhalation auxiliary pressure to determine an estimated exhalation flow;a driver, the driver controls the exhalation valve to deliver ventilation to the patient based at least on at least one of the monitored exhalation flow, and the estimated exhalation flow determined based on the monitored exhalation pressure and the monitored exhalation auxiliary pressure;a main trigger module, the main trigger module triggers an inspiration based on a first of at least one of the following events to occur: detection of a first trigger condition based at least on the monitored exhalation flow, andexpiration of a predetermined amount of exhalation time;a backup trigger module, the backup trigger module triggers the inspiration based on a first of at least one of the following events to occur: detection of a second trigger condition based at least on the estimated exhalation flow, andexpiration of the predetermined amount of exhalation time;a controller, the controller determines an absence in the monitored exhalation flow and switches from the main trigger module to the backup trigger module.
  • 14. The ventilator system of claim 13, further comprising: a display that displays at least one of a notification that an exhalation flow sensor is removed, a notification that the exhalation flow sensor is malfunctioning, the estimated exhalation flow, and the second trigger condition.
  • 15. The ventilator system of claim 13, wherein the controller detects the absence of the monitored exhalation flow because an exhalation flow sensor has been removed.
  • 16. The ventilator system of claim 13, wherein the controller detects the absence of the monitored exhalation flow because an exhalation flow sensor is malfunctioning.
  • 17. The ventilator system of claim 13, further comprising: a display that displays the estimated exhalation flow and an estimated exhalation tidal volume, wherein the exhalation flow estimation module estimates an exhalation tidal volume based on the estimated exhalation flow.
  • 18. The ventilator system of claim 13, wherein the second trigger condition is detection of a stable portion of exhalation.
  • 19. The ventilator system of claim 13, wherein the second trigger condition is a flow deviation based on the fixed base flow and the estimated exhalation flow that breaches a trigger threshold.
  • 20. A method for ventilating a patient with a ventilator, comprising: monitoring an exhalation flow, an exhalation pressure, and an exhalation auxiliary pressure during ventilation of the patient with the ventilator based on output from one or more sensors to determine a monitored exhalation flow, a monitored exhalation pressure, and a monitored exhalation auxiliary pressure;delivering ventilation based at least on the monitored exhalation flow;determining an absence in the monitored exhalation flow with the ventilator based on the output from the one or more sensors;in response to the absence of the monitored exhalation flow, estimating the exhalation flow based at least on the monitored exhalation pressure and exhalation auxiliary pressure to determine an estimated exhalation flow; andin response to the absence of the monitored exhalation flow, ceasing to deliver the ventilation based at least on the monitored exhalation flow and instead delivering ventilation based at least on the estimated exhalation flow.
US Referenced Citations (887)
Number Name Date Kind
3584621 Bird et al. Jun 1971 A
3586021 McGuinness Jun 1971 A
3633576 Gorsuch Jan 1972 A
3662751 Barkalow et al. May 1972 A
3664370 Warnow May 1972 A
3669108 Sundblom et al. Jun 1972 A
3695263 Kipling Oct 1972 A
3741208 Jonsson et al. Jun 1973 A
3753436 Bird et al. Aug 1973 A
3756229 Ollivier Sep 1973 A
3768468 Cox Oct 1973 A
3789837 Philips et al. Feb 1974 A
3827433 Shannon Aug 1974 A
3834382 Lederman et al. Sep 1974 A
3869771 Bollinger Mar 1975 A
3889669 Weigl Jun 1975 A
3889670 Loveland et al. Jun 1975 A
3896800 Cibulka Jul 1975 A
3903881 Weigl Sep 1975 A
3905362 Eyrick et al. Sep 1975 A
3908987 Boehringer Sep 1975 A
3910261 Ragsdale et al. Oct 1975 A
3923056 Bingmann et al. Dec 1975 A
3961627 Ernst et al. Jun 1976 A
3976052 Junginger et al. Aug 1976 A
3976065 Durkan Aug 1976 A
3981301 Warnow et al. Sep 1976 A
4003377 Dahl Jan 1977 A
4020834 Bird May 1977 A
4029120 Christianson Jun 1977 A
4044763 Bird Aug 1977 A
4050458 Friend Sep 1977 A
4057059 Reid, Jr. et al. Nov 1977 A
4060078 Bird Nov 1977 A
4082093 Fry et al. Apr 1978 A
4121578 Torzala Oct 1978 A
4155357 Dahl May 1979 A
4164219 Bird Aug 1979 A
4197843 Bird Apr 1980 A
4197856 Northrop Apr 1980 A
4206754 Cox et al. Jun 1980 A
4211221 Schwanbom et al. Jul 1980 A
4211239 Raemer et al. Jul 1980 A
4227523 Warnow et al. Oct 1980 A
4232666 Savelli et al. Nov 1980 A
4245633 Erceg Jan 1981 A
4265237 Schwanbom et al. May 1981 A
4267827 Racher et al. May 1981 A
4275722 Sorensen Jun 1981 A
4281651 Cox Aug 1981 A
4285340 Gezari et al. Aug 1981 A
4320754 Watson et al. Mar 1982 A
4323064 Hoenig et al. Apr 1982 A
4340044 Levy et al. Jul 1982 A
4351328 Bodai Sep 1982 A
4351329 Ellestad et al. Sep 1982 A
4351344 Stenzler Sep 1982 A
4401115 Monnier Aug 1983 A
4417573 De Vries Nov 1983 A
4436090 Darling Mar 1984 A
4457304 Molnar et al. Jul 1984 A
4459982 Fry Jul 1984 A
4459983 Beyreuther et al. Jul 1984 A
4462397 Suzuki Jul 1984 A
4502481 Christian Mar 1985 A
4527557 DeVries et al. Jul 1985 A
4539984 Kiszel et al. Sep 1985 A
4554916 Watt Nov 1985 A
4558710 Eichler Dec 1985 A
4566450 Brossman, Jr. Jan 1986 A
4596246 Lyall Jun 1986 A
4598706 Darowski et al. Jul 1986 A
4611591 Inui et al. Sep 1986 A
4612928 Tiep et al. Sep 1986 A
4622976 Timpe et al. Nov 1986 A
4640277 Meyer et al. Feb 1987 A
4648407 Sackner Mar 1987 A
4651731 Vicenzi et al. Mar 1987 A
4752089 Carter Jun 1988 A
4757824 Chaumet Jul 1988 A
4766894 Legrand et al. Aug 1988 A
4796618 Garraffa Jan 1989 A
4813409 Ismach Mar 1989 A
4821709 Jensen Apr 1989 A
4877023 Zalkin Oct 1989 A
4889116 Taube Dec 1989 A
4921642 LaTorraca May 1990 A
4924862 Levinson May 1990 A
4954799 Kumar Sep 1990 A
4981295 Belman et al. Jan 1991 A
4982735 Yagata et al. Jan 1991 A
5002050 McGinnis Mar 1991 A
5007420 Bird Apr 1991 A
5016626 Jones May 1991 A
5057822 Hoffman Oct 1991 A
5063925 Frank et al. Nov 1991 A
5065746 Steen Nov 1991 A
5067487 Bauman Nov 1991 A
5072737 Goulding Dec 1991 A
5099837 Russel, Sr. et al. Mar 1992 A
5150291 Cummings et al. Sep 1992 A
5154167 Hepburn Oct 1992 A
5158569 Strickland et al. Oct 1992 A
5161525 Kimm et al. Nov 1992 A
5165397 Arp Nov 1992 A
5165398 Bird Nov 1992 A
5222491 Thomas Jun 1993 A
5237987 Anderson et al. Aug 1993 A
5271389 Isaza et al. Dec 1993 A
5279549 Ranford Jan 1994 A
5299568 Forare et al. Apr 1994 A
5301667 McGrail et al. Apr 1994 A
5301921 Kumar Apr 1994 A
5303698 Tobia et al. Apr 1994 A
5315989 Tobia May 1994 A
5316009 Yamada May 1994 A
5318487 Golen et al. Jun 1994 A
5319540 Isaza et al. Jun 1994 A
5323772 Linden et al. Jun 1994 A
5325861 Goulding Jul 1994 A
5333606 Schneider et al. Aug 1994 A
5335651 Foster et al. Aug 1994 A
5335654 Rapoport Aug 1994 A
5339807 Carter Aug 1994 A
5343857 Schneider et al. Sep 1994 A
5351522 Lura Oct 1994 A
5357946 Kee et al. Oct 1994 A
5368019 LaTorraca Nov 1994 A
5373842 Olsson et al. Dec 1994 A
5383449 Forare et al. Jan 1995 A
5385142 Brady et al. Jan 1995 A
5390666 Kimm et al. Feb 1995 A
5401135 Stoen et al. Mar 1995 A
5402796 Packer et al. Apr 1995 A
5404871 Goodman et al. Apr 1995 A
5407174 Kumar Apr 1995 A
5413110 Cummings et al. May 1995 A
5429123 Shaffer et al. Jul 1995 A
5433193 Sanders et al. Jul 1995 A
5438980 Phillips Aug 1995 A
5443075 Holscher Aug 1995 A
5458137 Axe et al. Oct 1995 A
5479920 Piper et al. Jan 1996 A
5487383 Levinson Jan 1996 A
5494028 DeVries et al. Feb 1996 A
5507282 Younes Apr 1996 A
5509406 Kock et al. Apr 1996 A
5513631 McWilliams May 1996 A
5517983 Deighan et al. May 1996 A
5520071 Jones May 1996 A
5524615 Power Jun 1996 A
5531221 Power Jul 1996 A
5535738 Estes et al. Jul 1996 A
5540220 Gropper et al. Jul 1996 A
5542415 Brady Aug 1996 A
5544674 Kelly Aug 1996 A
5549106 Gruenke et al. Aug 1996 A
5549655 Erickson Aug 1996 A
5551419 Froehlich et al. Sep 1996 A
5564416 Jones Oct 1996 A
5575283 Sjoestrand Nov 1996 A
5582163 Bonassa Dec 1996 A
5596984 O'Mahoney et al. Jan 1997 A
5603315 Sasso, Jr. Feb 1997 A
5606968 Mang Mar 1997 A
5615669 Olsson et al. Apr 1997 A
5630411 Holscher May 1997 A
5632269 Zdrojkowski May 1997 A
5632270 O'Mahony et al. May 1997 A
5645048 Brodsky et al. Jul 1997 A
5645053 Remmers et al. Jul 1997 A
5647345 Saul Jul 1997 A
5647351 Weismann et al. Jul 1997 A
5651360 Tobia Jul 1997 A
5660171 Kimm et al. Aug 1997 A
5664560 Merrick et al. Sep 1997 A
5664562 Bourdon Sep 1997 A
5671767 Kelly Sep 1997 A
5672041 Ringdahl et al. Sep 1997 A
5673689 Power Oct 1997 A
5694926 DeVries et al. Dec 1997 A
5706799 Imai et al. Jan 1998 A
5715812 Deighan et al. Feb 1998 A
5720277 Olsson et al. Feb 1998 A
5727562 Beck Mar 1998 A
5730122 Lurie Mar 1998 A
5735267 Tobia Apr 1998 A
5738090 Lachmann et al. Apr 1998 A
5740796 Skog Apr 1998 A
5752509 Lachmann et al. May 1998 A
5762480 Adahan Jun 1998 A
5769072 Olsson et al. Jun 1998 A
5771884 Yarnall et al. Jun 1998 A
5791339 Winter Aug 1998 A
5794615 Estes Aug 1998 A
5794986 Gansel et al. Aug 1998 A
5803066 Rapoport et al. Sep 1998 A
5813399 Isaza et al. Sep 1998 A
5826575 Lall Oct 1998 A
5829441 Kidd et al. Nov 1998 A
5864938 Gansel et al. Feb 1999 A
5865168 Isaza Feb 1999 A
5865173 Froehlich Feb 1999 A
5868133 DeVries et al. Feb 1999 A
5881717 Isaza Mar 1999 A
5881723 Wallace et al. Mar 1999 A
5884623 Winter Mar 1999 A
5906204 Beran et al. May 1999 A
5909731 O'Mahony et al. Jun 1999 A
5915379 Wallace et al. Jun 1999 A
5915380 Wallace et al. Jun 1999 A
5915381 Nord Jun 1999 A
5915382 Power Jun 1999 A
5918597 Jones et al. Jul 1999 A
5921238 Bourdon Jul 1999 A
5927274 Servidio et al. Jul 1999 A
5931162 Christian Aug 1999 A
5934274 Merrick et al. Aug 1999 A
5970975 Estes et al. Oct 1999 A
5975081 Hood et al. Nov 1999 A
5983891 Fukunaga Nov 1999 A
6000396 Melker et al. Dec 1999 A
6003513 Readey et al. Dec 1999 A
6010459 Silkoff et al. Jan 2000 A
6024089 Wallace et al. Feb 2000 A
6029664 Zdrojkowski et al. Feb 2000 A
6029667 Lurie Feb 2000 A
6041780 Richard et al. Mar 2000 A
6042550 Haryadi et al. Mar 2000 A
6044841 Verdun et al. Apr 2000 A
6047860 Sanders Apr 2000 A
6066101 Johnson et al. May 2000 A
6067984 Piper May 2000 A
6076519 Johnson Jun 2000 A
6076523 Jones et al. Jun 2000 A
6095139 Psaros Aug 2000 A
6095140 Poon et al. Aug 2000 A
6102038 DeVries Aug 2000 A
6105575 Estes et al. Aug 2000 A
6116240 Merrick et al. Sep 2000 A
6116464 Sanders Sep 2000 A
6123073 Schlawin et al. Sep 2000 A
6123674 Rich Sep 2000 A
6135106 Dirks et al. Oct 2000 A
6138675 Berthon-Jones Oct 2000 A
6142150 O'Mahoney Nov 2000 A
6148814 Clemmer et al. Nov 2000 A
6152132 Psaros Nov 2000 A
6158432 Biondi et al. Dec 2000 A
6158433 Ong et al. Dec 2000 A
6161539 Winter Dec 2000 A
6192885 Jalde Feb 2001 B1
6200271 Kuck et al. Mar 2001 B1
6210342 Kuck et al. Apr 2001 B1
6213119 Brydon et al. Apr 2001 B1
6217524 Orr et al. Apr 2001 B1
6220244 McLaughlin Apr 2001 B1
6220245 Takabayashi et al. Apr 2001 B1
6230708 Radko May 2001 B1
6238351 Orr et al. May 2001 B1
6241681 Haryadi et al. Jun 2001 B1
6258038 Haryadi et al. Jul 2001 B1
6269812 Wallace et al. Aug 2001 B1
6273444 Power Aug 2001 B1
6283119 Bourdon Sep 2001 B1
6305373 Wallace et al. Oct 2001 B1
6305374 Zdrojkowski et al. Oct 2001 B1
6306098 Orr et al. Oct 2001 B1
6318365 Vogele et al. Nov 2001 B1
6321748 O'Mahoney Nov 2001 B1
6325785 Babkes et al. Dec 2001 B1
6345619 Finn Feb 2002 B1
6357438 Hansen Mar 2002 B1
6360745 Wallace et al. Mar 2002 B1
6369838 Wallace et al. Apr 2002 B1
6412483 Jones et al. Jul 2002 B1
6427692 Hoglund Aug 2002 B1
6439229 Du et al. Aug 2002 B1
6443154 Jalde et al. Sep 2002 B1
6450163 Blacker et al. Sep 2002 B1
6450968 Wallen et al. Sep 2002 B1
6467477 Frank et al. Oct 2002 B1
6467478 Merrick et al. Oct 2002 B1
6510846 O'Rourke Jan 2003 B1
6512938 Claure et al. Jan 2003 B2
6526970 DeVries et al. Mar 2003 B2
6532957 Berthon-Jones Mar 2003 B2
6532960 Yurko Mar 2003 B1
6537228 Lambert Mar 2003 B1
6539940 Zdrojkowski et al. Apr 2003 B2
6546930 Emerson et al. Apr 2003 B1
6553991 Isaza Apr 2003 B1
6557553 Borrello May 2003 B1
6560991 Kotliar May 2003 B1
6564798 Jalde May 2003 B1
6568387 Davenport et al. May 2003 B2
6571795 Bourdon Jun 2003 B2
6584973 Biondi et al. Jul 2003 B1
6588422 Berthon-Jones et al. Jul 2003 B1
6588423 Sinderby Jul 2003 B1
6595212 Arnott Jul 2003 B1
6601583 Pessala et al. Aug 2003 B2
6609517 Estes et al. Aug 2003 B1
6622725 Fisher et al. Sep 2003 B1
6622726 Du Sep 2003 B1
6626175 Jafari et al. Sep 2003 B2
6640806 Yurko Nov 2003 B2
6644310 Delache et al. Nov 2003 B1
6659100 O'Rourke Dec 2003 B2
6662032 Gavish et al. Dec 2003 B1
6668824 Isaza et al. Dec 2003 B1
6671529 Claure et al. Dec 2003 B2
6675801 Wallace et al. Jan 2004 B2
6679258 Strom Jan 2004 B1
6688307 Berthon-Jones Feb 2004 B2
6694978 Bennarsten Feb 2004 B1
6705314 O'Dea Mar 2004 B1
6718974 Moberg Apr 2004 B1
6722360 Doshi Apr 2004 B2
6725447 Gilman et al. Apr 2004 B1
6739337 Isaza May 2004 B2
6752151 Hill Jun 2004 B2
6758216 Berthon-Jones et al. Jul 2004 B1
6761167 Nadjafizadeh et al. Jul 2004 B1
6761168 Nadjafizadeh et al. Jul 2004 B1
6776159 Pelerossi et al. Aug 2004 B2
6782888 Friberg et al. Aug 2004 B1
6786216 O'Rourke Sep 2004 B2
6810876 Berthon-Jones Nov 2004 B2
6814074 Nadjafizadeh et al. Nov 2004 B1
6823866 Jafari et al. Nov 2004 B2
6848444 Smith et al. Feb 2005 B2
6854462 Berthon-Jones et al. Feb 2005 B2
6863068 Jamison et al. Mar 2005 B2
6863656 Lurie Mar 2005 B2
6866040 Bourdon Mar 2005 B1
6877511 DeVries et al. Apr 2005 B2
6899103 Hood et al. May 2005 B1
6915803 Berthon-Jones et al. Jul 2005 B2
6920878 Sinderby et al. Jul 2005 B2
6932084 Estes et al. Aug 2005 B2
6938619 Hickle Sep 2005 B1
6948497 Zdrojkowski et al. Sep 2005 B2
6960854 Nadjafizadeh et al. Nov 2005 B2
6962155 Sinderby Nov 2005 B1
6986347 Hickle Jan 2006 B2
6986349 Lurie Jan 2006 B2
6988498 Berthon-Jones et al. Jan 2006 B2
6990980 Richey, II Jan 2006 B2
7000612 Jafari et al. Feb 2006 B2
7008380 Rees et al. Mar 2006 B1
7011091 Hill et al. Mar 2006 B2
7011092 McCombs et al. Mar 2006 B2
7032589 Kerechanin, II et al. Apr 2006 B2
7036504 Wallace et al. May 2006 B2
7040318 Däscher et al. May 2006 B2
7056334 Lennox Jun 2006 B2
7066175 Hamilton et al. Jun 2006 B2
7066177 Pittaway et al. Jun 2006 B2
7070570 Sanderson et al. Jul 2006 B2
7077131 Hansen Jul 2006 B2
7077132 Berthon-Jones Jul 2006 B2
7080646 Wiesmann et al. Jul 2006 B2
RE39225 Isaza et al. Aug 2006 E
7087027 Page Aug 2006 B2
7089932 Dodds Aug 2006 B2
7096866 Be'eri et al. Aug 2006 B2
7100607 Zdrojkowski et al. Sep 2006 B2
7100609 Berthon-Jones et al. Sep 2006 B2
7104962 Lomask et al. Sep 2006 B2
7117438 Wallace et al. Oct 2006 B2
7121277 Ström Oct 2006 B2
7122010 Böhm et al. Oct 2006 B2
7128069 Farrugia et al. Oct 2006 B2
7137389 Berthon-Jones Nov 2006 B2
7152598 Morris et al. Dec 2006 B2
7152604 Hickle et al. Dec 2006 B2
7156095 Melker et al. Jan 2007 B2
7204251 Lurie Apr 2007 B2
7211049 Bradley et al. May 2007 B2
7219666 Friberg et al. May 2007 B2
7246618 Habashi Jul 2007 B2
7255103 Bassin Aug 2007 B2
7267122 Hill Sep 2007 B2
7267652 Coyle et al. Sep 2007 B2
7270126 Wallace et al. Sep 2007 B2
7270128 Berthon-Jones et al. Sep 2007 B2
7275540 Bolam et al. Oct 2007 B2
7276031 Norman et al. Oct 2007 B2
7278962 Lönneker Lammers Oct 2007 B2
7290544 Särelä et al. Nov 2007 B1
7296573 Estes et al. Nov 2007 B2
7308894 Hickle Dec 2007 B2
7311668 Lurie Dec 2007 B2
7320321 Pranger et al. Jan 2008 B2
7353824 Forsyth et al. Apr 2008 B1
7369757 Farbarik May 2008 B2
7370650 Nadjafizadeh et al. May 2008 B2
7390304 Chen et al. Jun 2008 B2
7392806 Yuen et al. Jul 2008 B2
7428902 Du et al. Sep 2008 B2
7460959 Jafari Dec 2008 B2
7465275 Stenqvist Dec 2008 B2
7467012 Park et al. Dec 2008 B1
7472702 Beck et al. Jan 2009 B2
7478634 Jam Jan 2009 B2
7481222 Reissmann Jan 2009 B2
7487773 Li Feb 2009 B2
7487774 Acker Feb 2009 B2
7487778 Freitag Feb 2009 B2
7527058 Wright et al. May 2009 B2
RE40814 Van Brunt et al. Jun 2009 E
7547285 Kline Jun 2009 B2
7552731 Jorczak et al. Jun 2009 B2
7556038 Kirby et al. Jul 2009 B2
7556041 Madsen Jul 2009 B2
7562657 Blanch et al. Jul 2009 B2
7574368 Pawlikowski et al. Aug 2009 B2
7581708 Newkirk Sep 2009 B2
7588033 Wondka Sep 2009 B2
7617824 Doyle Nov 2009 B2
7621270 Morris et al. Nov 2009 B2
7628151 Bassin Dec 2009 B2
7644713 Berthon-Jones Jan 2010 B2
7654802 Crawford, Jr. et al. Feb 2010 B2
7672720 Heath Mar 2010 B2
7682312 Lurie Mar 2010 B2
7686019 Weiss et al. Mar 2010 B2
7694677 Tang Apr 2010 B2
7708015 Seeger et al. May 2010 B2
7717113 Andrieux May 2010 B2
7717858 Massad May 2010 B2
7721736 Urias et al. May 2010 B2
7722546 Madaus et al. May 2010 B2
D618356 Ross Jun 2010 S
7730884 Sato et al. Jun 2010 B2
7735486 Payne Jun 2010 B2
7735492 Doshi et al. Jun 2010 B2
7775207 Jaffe et al. Aug 2010 B2
7784461 Figueiredo et al. Aug 2010 B2
7793656 Johnson Sep 2010 B2
7798145 Weismann et al. Sep 2010 B2
7798148 Doshi et al. Sep 2010 B2
7802571 Tehrani Sep 2010 B2
7806120 Loomas et al. Oct 2010 B2
7810496 Estes et al. Oct 2010 B2
7810497 Pittman et al. Oct 2010 B2
7810498 Patterson Oct 2010 B1
7823588 Hansen Nov 2010 B2
7841347 Sonnenschein et al. Nov 2010 B2
7849854 DeVries et al. Dec 2010 B2
7850619 Gavish et al. Dec 2010 B2
7855716 McCreary et al. Dec 2010 B2
7866318 Bassin Jan 2011 B2
D632796 Ross et al. Feb 2011 S
D632797 Ross et al. Feb 2011 S
7886739 Soliman et al. Feb 2011 B2
7891354 Farbarik Feb 2011 B2
7893560 Carter Feb 2011 B2
7909034 Sinderby et al. Mar 2011 B2
D638852 Skidmore et al. May 2011 S
7938114 Matthews et al. May 2011 B2
7963283 Sinderby Jun 2011 B2
7970475 Tehrani et al. Jun 2011 B2
7971589 Mashak et al. Jul 2011 B2
7984712 Soliman et al. Jul 2011 B2
7984714 Hausmann et al. Jul 2011 B2
D643535 Ross et al. Aug 2011 S
7992557 Nadjafizadeh et al. Aug 2011 B2
7992564 Doshi et al. Aug 2011 B2
7997271 Hickle et al. Aug 2011 B2
8001967 Wallace et al. Aug 2011 B2
D645158 Sanchez et al. Sep 2011 S
8011363 Johnson Sep 2011 B2
8011364 Johnson Sep 2011 B2
8011366 Knepper Sep 2011 B2
8015974 Christopher et al. Sep 2011 B2
8020558 Christopher et al. Sep 2011 B2
8021308 Carlson et al. Sep 2011 B2
8021309 Zilberg Sep 2011 B2
8021310 Sanborn et al. Sep 2011 B2
D649157 Skidmore et al. Nov 2011 S
D652521 Ross et al. Jan 2012 S
D652936 Ross et al. Jan 2012 S
D653749 Winter et al. Feb 2012 S
8113062 Graboi et al. Feb 2012 B2
D655405 Winter et al. Mar 2012 S
D655809 Winter et al. Mar 2012 S
D656237 Sanchez et al. Mar 2012 S
8181648 Perine et al. May 2012 B2
8210173 Vandine Jul 2012 B2
8210174 Farbarik Jul 2012 B2
8240684 Ross et al. Aug 2012 B2
8267085 Jafari et al. Sep 2012 B2
8272379 Jafari et al. Sep 2012 B2
8272380 Jafari et al. Sep 2012 B2
8302600 Andrieux et al. Nov 2012 B2
8302602 Andrieux et al. Nov 2012 B2
8457706 Baker, Jr. Jun 2013 B2
D692556 Winter Oct 2013 S
D693001 Winter Nov 2013 S
D701601 Winter Mar 2014 S
8792949 Baker, Jr. Jul 2014 B2
8844526 Jafari et al. Sep 2014 B2
D731048 Winter Jun 2015 S
D731049 Winter Jun 2015 S
D731065 Winter Jun 2015 S
D736905 Winter Aug 2015 S
D744095 Winter Nov 2015 S
20010004893 Biondi et al. Jun 2001 A1
20020017301 Lundin Feb 2002 A1
20020026941 Biondi et al. Mar 2002 A1
20020042564 Cooper et al. Apr 2002 A1
20020042565 Cooper et al. Apr 2002 A1
20020117173 Lynn et al. Aug 2002 A1
20020144681 Cewers et al. Oct 2002 A1
20030029453 Smith et al. Feb 2003 A1
20030140925 Sapienza et al. Jul 2003 A1
20030168066 Sallvin Sep 2003 A1
20030172929 Muellner Sep 2003 A1
20030225339 Orr et al. Dec 2003 A1
20040149282 Hickle Aug 2004 A1
20040244804 Olsen et al. Dec 2004 A1
20050034724 O'Dea Feb 2005 A1
20050034727 Shusterman et al. Feb 2005 A1
20050039748 Andrieux Feb 2005 A1
20050085865 Tehrani Apr 2005 A1
20050085867 Tehrani et al. Apr 2005 A1
20050085868 Tehrani et al. Apr 2005 A1
20050113668 Srinivasan May 2005 A1
20050139212 Bourdon Jun 2005 A1
20050166928 Jiang Aug 2005 A1
20050247311 Vacchiano et al. Nov 2005 A1
20050279358 Richey, II Dec 2005 A1
20060021618 Berthon-Jones et al. Feb 2006 A1
20060122662 Tehrani et al. Jun 2006 A1
20060142815 Tehrani et al. Jun 2006 A1
20060196507 Bradley Sep 2006 A1
20060196508 Chalvignac Sep 2006 A1
20060241708 Boute Oct 2006 A1
20060249153 DeVries et al. Nov 2006 A1
20060264762 Starr Nov 2006 A1
20060272637 Johnson Dec 2006 A1
20060283451 Albertelli Dec 2006 A1
20070017515 Wallace et al. Jan 2007 A1
20070017518 Farrugia et al. Jan 2007 A1
20070017522 Be-Eri et al. Jan 2007 A1
20070017523 Be-Eri et al. Jan 2007 A1
20070056588 Hayek Mar 2007 A1
20070062532 Choncholas Mar 2007 A1
20070062533 Choncholas et al. Mar 2007 A1
20070068528 Bohm et al. Mar 2007 A1
20070077200 Baker Apr 2007 A1
20070089741 Bohm et al. Apr 2007 A1
20070123792 Kline May 2007 A1
20070125377 Heinonen et al. Jun 2007 A1
20070129646 Heinonen et al. Jun 2007 A1
20070157931 Parker et al. Jul 2007 A1
20070181122 Mulier Aug 2007 A1
20070227537 Bemister et al. Oct 2007 A1
20070272241 Sanborn et al. Nov 2007 A1
20070283958 Naghavi Dec 2007 A1
20070284361 Nadjafizadeh et al. Dec 2007 A1
20080000475 Hill Jan 2008 A1
20080011296 Schatzl Jan 2008 A1
20080021379 Hickle Jan 2008 A1
20080033304 Dalal et al. Feb 2008 A1
20080041383 Matthews et al. Feb 2008 A1
20080045845 Pfeiffer et al. Feb 2008 A1
20080053441 Gottlib et al. Mar 2008 A1
20080060656 Isaza Mar 2008 A1
20080072896 Setzer et al. Mar 2008 A1
20080072901 Habashi Mar 2008 A1
20080072902 Setzer et al. Mar 2008 A1
20080072904 Becker et al. Mar 2008 A1
20080078390 Milne et al. Apr 2008 A1
20080078395 Ho et al. Apr 2008 A1
20080083644 Janbakhsh et al. Apr 2008 A1
20080091117 Choncholas et al. Apr 2008 A1
20080092894 Nicolazzi et al. Apr 2008 A1
20080097234 Nicolazzi et al. Apr 2008 A1
20080110460 Elaz et al. May 2008 A1
20080110461 Mulqueeny et al. May 2008 A1
20080110462 Chekal et al. May 2008 A1
20080135044 Freitag et al. Jun 2008 A1
20080163872 Negele et al. Jul 2008 A1
20080168990 Cooke et al. Jul 2008 A1
20080178874 Doshi et al. Jul 2008 A1
20080183057 Taube Jul 2008 A1
20080183239 Tehrani et al. Jul 2008 A1
20080183240 Tehrani et al. Jul 2008 A1
20080188903 Tehrani et al. Aug 2008 A1
20080196720 Kollmeyer et al. Aug 2008 A1
20080200775 Lynn Aug 2008 A1
20080202525 Mitton et al. Aug 2008 A1
20080202528 Carter et al. Aug 2008 A1
20080208281 Tehrani et al. Aug 2008 A1
20080221470 Sather et al. Sep 2008 A1
20080223361 Nieuwstad Sep 2008 A1
20080230061 Tham Sep 2008 A1
20080230062 Tham Sep 2008 A1
20080236582 Tehrani Oct 2008 A1
20080283060 Bassin Nov 2008 A1
20080295837 McCormick et al. Dec 2008 A1
20080312519 Maschke Dec 2008 A1
20080314385 Brunner et al. Dec 2008 A1
20090007914 Bateman Jan 2009 A1
20090013999 Bassin Jan 2009 A1
20090020119 Eger et al. Jan 2009 A1
20090038617 Berthon-Jones et al. Feb 2009 A1
20090071478 Kalfon Mar 2009 A1
20090090359 Daviet et al. Apr 2009 A1
20090095297 Hallett Apr 2009 A1
20090099621 Lin et al. Apr 2009 A1
20090107982 McGhin et al. Apr 2009 A1
20090114223 Bonassa May 2009 A1
20090137919 Bar-Lavie et al. May 2009 A1
20090139522 Thomson et al. Jun 2009 A1
20090145441 Doshi et al. Jun 2009 A1
20090159082 Eger Jun 2009 A1
20090165795 Nadjafizadeh et al. Jul 2009 A1
20090165798 Cong et al. Jul 2009 A1
20090171176 Andersohn Jul 2009 A1
20090183739 Wondka Jul 2009 A1
20090194109 Doshi et al. Aug 2009 A1
20090205660 Thomson et al. Aug 2009 A1
20090205661 Stephenson et al. Aug 2009 A1
20090205663 Vandine et al. Aug 2009 A1
20090210032 Beiski et al. Aug 2009 A1
20090241952 Nicolazzi et al. Oct 2009 A1
20090241953 Vandine et al. Oct 2009 A1
20090241956 Baker, Jr. et al. Oct 2009 A1
20090241957 Baker, Jr. et al. Oct 2009 A1
20090241958 Baker, Jr. Oct 2009 A1
20090241962 Jafari et al. Oct 2009 A1
20090247849 McCutcheon et al. Oct 2009 A1
20090247853 Debreczeny Oct 2009 A1
20090247891 Wood Oct 2009 A1
20090250058 Lastow et al. Oct 2009 A1
20090260625 Wondka Oct 2009 A1
20090266360 Acker et al. Oct 2009 A1
20090272381 Dellaca et al. Nov 2009 A1
20090277448 Ahlmén et al. Nov 2009 A1
20090293872 Bocke Dec 2009 A1
20090293877 Blanch et al. Dec 2009 A1
20090299155 Yang et al. Dec 2009 A1
20090301486 Masic Dec 2009 A1
20090301487 Masic Dec 2009 A1
20090301488 Sun Dec 2009 A1
20090301490 Masic Dec 2009 A1
20090301491 Masic et al. Dec 2009 A1
20090301492 Wysocki et al. Dec 2009 A1
20090308393 Luceros Dec 2009 A1
20090308394 Levi Dec 2009 A1
20090308398 Ferdinand et al. Dec 2009 A1
20090314297 Mathews Dec 2009 A1
20100011307 Desfossez et al. Jan 2010 A1
20100016694 Martin et al. Jan 2010 A1
20100018531 Bassin Jan 2010 A1
20100024818 Stenzler et al. Feb 2010 A1
20100024820 Bourdon Feb 2010 A1
20100031443 Georgiev et al. Feb 2010 A1
20100051026 Graboi Mar 2010 A1
20100051029 Jafari et al. Mar 2010 A1
20100069761 Karst et al. Mar 2010 A1
20100071689 Thiessen Mar 2010 A1
20100071692 Porges Mar 2010 A1
20100071695 Thiessen Mar 2010 A1
20100071696 Jafari Mar 2010 A1
20100071697 Jafari et al. Mar 2010 A1
20100076322 Shrivastav et al. Mar 2010 A1
20100076323 Shrivastav et al. Mar 2010 A1
20100078017 Andrieux et al. Apr 2010 A1
20100078018 Heinonen et al. Apr 2010 A1
20100078024 Andrieux et al. Apr 2010 A1
20100078026 Andrieux et al. Apr 2010 A1
20100081119 Jafari et al. Apr 2010 A1
20100081955 Wood, Jr. et al. Apr 2010 A1
20100089396 Richard et al. Apr 2010 A1
20100094366 McCarthy Apr 2010 A1
20100101575 Fedorko et al. Apr 2010 A1
20100108066 Martin et al. May 2010 A1
20100108070 Kwok May 2010 A1
20100114218 Heath May 2010 A1
20100116270 Edwards et al. May 2010 A1
20100125227 Bird May 2010 A1
20100139660 Adahan Jun 2010 A1
20100147302 Selvarajan et al. Jun 2010 A1
20100147303 Jafari et al. Jun 2010 A1
20100148458 Ross et al. Jun 2010 A1
20100175695 Jamison Jul 2010 A1
20100186744 Andrieux Jul 2010 A1
20100218765 Jafari et al. Sep 2010 A1
20100218766 Milne Sep 2010 A1
20100218767 Jafari et al. Sep 2010 A1
20100236555 Jafari et al. Sep 2010 A1
20100241159 Li Sep 2010 A1
20100242961 Mougel et al. Sep 2010 A1
20100249549 Baker, Jr. et al. Sep 2010 A1
20100249584 Albertelli Sep 2010 A1
20100252037 Wondka et al. Oct 2010 A1
20100252040 Kapust et al. Oct 2010 A1
20100252041 Kapust et al. Oct 2010 A1
20100252042 Kapust et al. Oct 2010 A1
20100252046 Dahlström et al. Oct 2010 A1
20100258124 Madaus et al. Oct 2010 A1
20100275920 Tham et al. Nov 2010 A1
20100275921 Schindhelm et al. Nov 2010 A1
20100282259 Figueiredo et al. Nov 2010 A1
20100288283 Campbell et al. Nov 2010 A1
20100300445 Chatburn et al. Dec 2010 A1
20100300446 Nicolazzi et al. Dec 2010 A1
20100307507 Li et al. Dec 2010 A1
20100319691 Lurie et al. Dec 2010 A1
20100326442 Hamilton et al. Dec 2010 A1
20100326447 Loomas et al. Dec 2010 A1
20100331877 Li et al. Dec 2010 A1
20110005530 Doshi et al. Jan 2011 A1
20110009762 Eichler et al. Jan 2011 A1
20110011400 Gentner et al. Jan 2011 A1
20110017214 Tehrani Jan 2011 A1
20110023875 Ledwith Feb 2011 A1
20110023878 Thiessen Feb 2011 A1
20110023879 Vandine et al. Feb 2011 A1
20110023880 Thiessen Feb 2011 A1
20110023881 Thiessen Feb 2011 A1
20110029910 Thiessen Feb 2011 A1
20110030686 Wilkinson et al. Feb 2011 A1
20110036352 Estes et al. Feb 2011 A1
20110041849 Chen et al. Feb 2011 A1
20110041850 Vandine et al. Feb 2011 A1
20110061650 Heesch Mar 2011 A1
20110073112 DiBlasi et al. Mar 2011 A1
20110088697 DeVries et al. Apr 2011 A1
20110092841 Bassin Apr 2011 A1
20110100365 Wedler et al. May 2011 A1
20110108041 Sather et al. May 2011 A1
20110112424 Kesselman et al. May 2011 A1
20110112425 Muhlsteff et al. May 2011 A1
20110126829 Carter et al. Jun 2011 A1
20110126832 Winter et al. Jun 2011 A1
20110126834 Winter et al. Jun 2011 A1
20110126835 Winter et al. Jun 2011 A1
20110126836 Winter et al. Jun 2011 A1
20110126837 Winter et al. Jun 2011 A1
20110128008 Carter Jun 2011 A1
20110132361 Sanchez Jun 2011 A1
20110132362 Sanchez Jun 2011 A1
20110132363 Chalvignac Jun 2011 A1
20110132364 Ogilvie et al. Jun 2011 A1
20110132365 Patel et al. Jun 2011 A1
20110132366 Ogilvie et al. Jun 2011 A1
20110132367 Patel Jun 2011 A1
20110132368 Sanchez et al. Jun 2011 A1
20110132369 Sanchez Jun 2011 A1
20110132371 Sanchez et al. Jun 2011 A1
20110133936 Sanchez et al. Jun 2011 A1
20110138308 Palmer et al. Jun 2011 A1
20110138309 Skidmore et al. Jun 2011 A1
20110138311 Palmer Jun 2011 A1
20110138315 Vandine et al. Jun 2011 A1
20110138323 Skidmore et al. Jun 2011 A1
20110146681 Jafari et al. Jun 2011 A1
20110146683 Jafari et al. Jun 2011 A1
20110154241 Skidmore et al. Jun 2011 A1
20110175728 Baker, Jr. Jul 2011 A1
20110196251 Jourdain et al. Aug 2011 A1
20110197884 Duff et al. Aug 2011 A1
20110197886 Guttmann et al. Aug 2011 A1
20110197892 Koledin Aug 2011 A1
20110203598 Favet et al. Aug 2011 A1
20110209702 Vuong et al. Sep 2011 A1
20110209704 Jafari et al. Sep 2011 A1
20110209706 Truschel et al. Sep 2011 A1
20110209707 Terhark Sep 2011 A1
20110213215 Doyle et al. Sep 2011 A1
20110226248 Duff et al. Sep 2011 A1
20110230780 Sanborn et al. Sep 2011 A1
20110249006 Wallace et al. Oct 2011 A1
20110259330 Jafari et al. Oct 2011 A1
20110259332 Sanchez et al. Oct 2011 A1
20110259333 Sanchez et al. Oct 2011 A1
20110265024 Leone et al. Oct 2011 A1
20110271960 Milne et al. Nov 2011 A1
20110273299 Milne et al. Nov 2011 A1
20120000467 Milne et al. Jan 2012 A1
20120000468 Milne et al. Jan 2012 A1
20120000469 Milne et al. Jan 2012 A1
20120000470 Milne et al. Jan 2012 A1
20120029317 Doyle et al. Feb 2012 A1
20120030611 Skidmore Feb 2012 A1
20120060841 Crawford, Jr. et al. Mar 2012 A1
20120071729 Doyle et al. Mar 2012 A1
20120090611 Graboi et al. Apr 2012 A1
20120096381 Milne et al. Apr 2012 A1
20120133519 Milne et al. May 2012 A1
20120136222 Doyle et al. May 2012 A1
20120137249 Milne et al. May 2012 A1
20120137250 Milne et al. May 2012 A1
20120167885 Masic et al. Jul 2012 A1
20120185792 Kimm et al. Jul 2012 A1
20120197578 Vig et al. Aug 2012 A1
20120197580 Vij et al. Aug 2012 A1
20120211008 Perine et al. Aug 2012 A1
20120216809 Milne et al. Aug 2012 A1
20120216810 Jafari et al. Aug 2012 A1
20120216811 Kimm et al. Aug 2012 A1
20120226444 Milne et al. Sep 2012 A1
20120247471 Masic et al. Oct 2012 A1
20120272960 Milne Nov 2012 A1
20120272961 Masic et al. Nov 2012 A1
20120272962 Doyle et al. Nov 2012 A1
20120277616 Sanborn et al. Nov 2012 A1
20120279501 Wallace et al. Nov 2012 A1
20120304995 Kauc Dec 2012 A1
20120304997 Jafari et al. Dec 2012 A1
20130000644 Thiessen Jan 2013 A1
20130006133 Doyle et al. Jan 2013 A1
20130006134 Doyle et al. Jan 2013 A1
20130008443 Thiessen Jan 2013 A1
20130025596 Jafari et al. Jan 2013 A1
20130025597 Doyle et al. Jan 2013 A1
20130032151 Adahan Feb 2013 A1
20130042869 Andrieux et al. Feb 2013 A1
20130047983 Andrieux et al. Feb 2013 A1
20130047989 Vandine et al. Feb 2013 A1
20130053717 Vandine et al. Feb 2013 A1
20130074844 Kimm et al. Mar 2013 A1
20130081536 Crawford, Jr. et al. Apr 2013 A1
20130104896 Kimm et al. May 2013 A1
20130146055 Jafari et al. Jun 2013 A1
20130152923 Andrieux et al. Jun 2013 A1
20130158370 Doyle et al. Jun 2013 A1
20130159912 Baker, Jr. Jun 2013 A1
20130167842 Jafari et al. Jul 2013 A1
20130167843 Kimm et al. Jul 2013 A1
20130186397 Patel Jul 2013 A1
20130186400 Jafari et al. Jul 2013 A1
20130186401 Jafari et al. Jul 2013 A1
20130192599 Nakai et al. Aug 2013 A1
20130220324 Jafari et al. Aug 2013 A1
20130233314 Jafari et al. Sep 2013 A1
20130233319 Winter et al. Sep 2013 A1
20130239038 Skidmore et al. Sep 2013 A1
20130239967 Jafari et al. Sep 2013 A1
20130255682 Jafari et al. Oct 2013 A1
20130255685 Jafari et al. Oct 2013 A1
20130276788 Masic Oct 2013 A1
20130283197 Skidmore Oct 2013 A1
20130284172 Doyle et al. Oct 2013 A1
20130284173 Masic et al. Oct 2013 A1
20130284177 Li et al. Oct 2013 A1
20130327331 Bourdon Dec 2013 A1
20130333697 Carter et al. Dec 2013 A1
20130333703 Wallace et al. Dec 2013 A1
20130338514 Karst et al. Dec 2013 A1
20130345532 Doyle et al. Dec 2013 A1
20140000606 Doyle et al. Jan 2014 A1
20140012150 Milne et al. Jan 2014 A1
20140034054 Angelico et al. Feb 2014 A1
20140034056 Leone et al. Feb 2014 A1
20140041656 Jourdain et al. Feb 2014 A1
20140048071 Milne et al. Feb 2014 A1
20140048072 Angelico et al. Feb 2014 A1
20140121553 Milne et al. May 2014 A1
20140123979 Doyle et al. May 2014 A1
20140130798 Milne et al. May 2014 A1
20140182590 Platt et al. Jul 2014 A1
20140224250 Sanchez et al. Aug 2014 A1
20140251328 Graboi et al. Sep 2014 A1
20140261409 Dong et al. Sep 2014 A1
20140261410 Sanchez et al. Sep 2014 A1
20140261424 Doyle et al. Sep 2014 A1
20140276176 Winter Sep 2014 A1
20140290657 Vandine et al. Oct 2014 A1
20140309507 Baker, Jr. Oct 2014 A1
20140345616 Masic Nov 2014 A1
20140360497 Jafari et al. Dec 2014 A1
20140366879 Kimm et al. Dec 2014 A1
20140373845 Dong Dec 2014 A1
20150034082 Kimm et al. Feb 2015 A1
20150045687 Nakai et al. Feb 2015 A1
20150090258 Milne et al. Apr 2015 A1
20150090264 Dong Apr 2015 A1
20150107584 Jafari et al. Apr 2015 A1
20160045694 Esmaeil-zadeh-azar Feb 2016 A1
20160114115 Glenn et al. Apr 2016 A1
Foreign Referenced Citations (2)
Number Date Country
2509669 Oct 2012 EP
2003055552 Jul 2003 WO
Non-Patent Literature Citations (7)
Entry
PCT International Search Report and Written Opinion in International Application PCT/US2016/014131, dated Apr. 8, 2016, 11 pgs.
7200 Series Ventilator, Options, and Accessories: Operator's Manual. Nellcor Puritan Bennett, Part No. 22300 A, Sep. 1990, pp. 1-196.
7200 Ventilatory System: Addendum/Errata. Nellcor Puritan Bennett, Part No. 4-023576-00, Rev. A, Apr. 1998, pp. 1-32.
800 Operator's and Technical Reference Manual. Series Ventilator System, Nellcor Puritan Bennett, Part No. 4-070088-00, Rev. L, Aug. 2010, pp. 1-476.
840 Operator's and Technical Reference Manual. Ventilator System, Nellcor Puritan Bennett, Part No. 4-075609-00, Rev. G, Oct. 2006, pp. 1-424.
Hari, “Flow Sensor Fault Causing Ventilator Malfunction”, Anaesthesia, 2005, 60, pp. 1042-2052; http://onlinelibrary.wiley.com/doi/10.1111/j.1365-2044.2005.04396.x/pdf; Accessed Jan. 16, 2015).
PCT International Preliminary Report on Patentability in International Application PCT/US2016/014131, dated Aug. 3, 2017, 7 pgs.
Related Publications (1)
Number Date Country
20160206837 A1 Jul 2016 US