Instrumented prosthetic foot

Information

  • Patent Grant
  • 8986397
  • Patent Number
    8,986,397
  • Date Filed
    Thursday, January 19, 2012
    12 years ago
  • Date Issued
    Tuesday, March 24, 2015
    9 years ago
Abstract
The present invention discloses an instrumented prosthetic foot for use with an actuated leg prosthesis controlled by a controller, the instrumented prosthetic foot comprising a connector to connect the instrumented prosthetic foot to the leg prosthesis, an ankle structure connected to the connector, a ground engaging member connected to the ankle, at least one sensor for detecting changes in weight distribution along the foot, and an interface for transmitting signals from the sensor to the controller.
Description
BACKGROUND

1. Field


The present invention relates to a prosthetic foot for use with a control system and/or a method for controlling an actuated leg prosthesis.


2. Background


As is well known to control engineers, the automation of complex mechanical systems is not something easy to achieve. Among such systems, conventional powered artificial limbs are notorious for having control problems. These conventional prostheses are equipped with basic controllers that artificially mobilize the joints without any interaction from the amputee and are only capable of generating basic motions. Such basic controllers do not take into consideration the dynamic conditions of the working environment, regardless the fact that the prosthesis is required to generate appropriate control within a practical application. They are generally lacking in predictive control strategies necessary to anticipate the artificial limb's response as well as lacking in adaptive regulation enabling the adjustment of the control parameters to the dynamics of the prosthesis. Because human limb mobility is a complex process including voluntary, reflex and random events at the same time, conventional prostheses do not have the capability to interact simultaneously with the human body and the external environment in order to have minimal appropriate functioning.


Accordingly, it is an object of the present application to obviate or mitigate some or all of the above disadvantages.


SUMMARY

According to the present invention, there is provided an instrumented prosthetic foot for use with an actuated leg prosthesis controlled by a controller, the instrumented prosthetic foot comprising a connector to connect the instrumented prosthetic foot to the leg prosthesis, an ankle structure connected to the connector, a ground engaging member connected to the ankle, at least one sensor for detecting changes in weight distribution along the foot, and an interface for transmitting signals from the sensor to the controller.





BRIEF DESCRIPTION OF THE DRAWINGS

Embodiments of the invention will be described by way of example only with reference to the accompanying drawings, in which



FIG. 1 shows the lower body of an individual provided with a prosthesis and an instrumented prosthetic foot on one side and having a healthy leg on the other side



FIG. 2 is a block diagram showing a control system for a prosthesis having an actuating mechanism.



FIG. 3 is a perspective view, from the front and slightly above, of a instrumented prosthetic foot.



FIG. 4 is an exploded perspective view of the instrumented prosthetic foot of FIG. 3.



FIG. 5 is a perspective view, from the front and slightly above, of an alternative embodiment of the instrumented prosthetic foot of FIG. 3.



FIG. 6 is an exploded perspective view of the instrumented prosthetic foot of FIG. 5.



FIG. 7 is a perspective view, from the front and slightly above, of another alternative embodiment of the instrumented prosthetic foot of FIG. 3



FIG. 8 is an exploded perspective view of the instrumented prosthetic foot of FIG. 7.



FIG. 9 is schematic view of forces exerted on a foot.



FIG. 10 is a perspective view, from the front and slightly above, of a further still alternative embodiment of the instrumented prosthetic foot of FIG. 3



FIG. 11 is an exploded perspective view of the instrumented prosthetic foot of FIG. 10.



FIG. 12 is a perspective view, from the front and slightly above, of a yet further still alternative embodiment of the instrumented prosthetic foot of FIG. 3



FIG. 13 is an exploded perspective view of the instrumented prosthetic foot of FIG. 12.



FIG. 14 is a perspective view, from the front and slightly above, of a further alternative embodiment of the instrumented prosthetic foot of FIG. 3



FIG. 15 is an exploded perspective view of the instrumented prosthetic foot of FIG. 14.





DETAILED DESCRIPTION

The appended figures show a instrumented prosthetic foot (20) having sensors (22A, 22B) for use, in cooperation with possible additional sensors (24A, 24B, 26), with a control system (100) for controlling a prosthesis (14) having an actuating mechanism (16). It should be understood that the present invention is not limited to the illustrated implementation since various changes and modifications may be effected herein without departing from the scope of the appended claims.


Referring therefore to FIG. 1 an individual (10) has a pair of legs (26) and (28), one of which, (26), is amputated above the knee. A prosthesis (14) is attached to the leg (26) and includes an actuating mechanism (16), which may be either passive or active. An instrumented prosthetic foot (20) is attached to the prosthesis (14) and includes sensors (22A, 22B). Additional sensors (24A, 24B) are located on the healthy foot and additional sensors (26) located on the individual (10) and/or the prosthesis (14). A passive actuating mechanism may be generally defined as an electromechanical component that only absorbs mechanical energy in order to modify dynamics of mechanical joints of the prosthesis, while an active actuating mechanism may be generally defined as an electromechanical component that absorbs and supplies mechanical energy in order to set dynamics of mechanical joints of the prosthesis.


An example of a passive actuating mechanism is described in U.S. patent application Ser. No. 09/767,367, filed Jan. 22, 2001, entitled “ELECTRONICALLY CONTROLLED PROSTHETIC KNEE”. Examples of active actuating mechanisms are described in U.S. patent application Ser. No. 10/463,495 filed Jun. 17, 2003, entitled “ACTUATED PROSTHESIS FOR ABOVE-KNEE AMPUTEES”, by Stephane Bedard et al., the entire disclosure of which is hereby incorporated by reference herein.


The prosthesis (14) is controlled, as shown schematically in FIG. 2, by a basic control system (100) comprising sensors (22A, 22B, 24A, 24B, 26), connected through an interface (30) to a controller (40). The controller (40) provides signals to an actuating mechanism (16) in the prosthesis (14), such as shown in FIG. 1. The purpose of the control system (100) is to provide the required signals for controlling the actuating mechanism (16). To do so, the control system (100) is interfaced with the amputee (10) using sensors (22A, 22B, 24A, 24B, 26) to ensure proper coordination between the amputee (10) and the movements of the prosthesis (14). The sensors (22A, 22B, 24A, 24B, 26) capture information, in real time, about the dynamics of the amputee's movement and provide that information to the controller (40) via the interface (30). The controller (40) then uses the information to determine the resistance to be applied to a joint, in the case of a passive actuating mechanism, or the joint trajectories and the required angular force or torque that must be applied by a joint, in the case of an active actuating mechanism, in order to provide coordinated movements.


The sensors (22A, 22B, 24A, 24B, 26) may include myoelectric sensors, neuro-sensors, kinematic sensors, kinetic sensors, strain gauges or plantar pressure sensors. Myoelectric sensors are electrodes used to measure the internal or the external myoelectrical activity of skeletal muscles. Neuro-sensors are electrodes used to measure the summation of one or more action potentials of peripheral nerves. Kinematic sensors are used to measure the position of articulated joints, the mobility speed or acceleration of lower extremities. Kinetic sensors are used to measure angular forces at articulated joints or reaction forces of lower extremities. Strain gages are used to measure the strain forces at a specific underfoot area. Plantar pressure sensors are used to measure the vertical plantar pressure of a specific underfoot area. Of course, additional types of sensors which provide various information about dynamics of human locomotion may be used. For a given application, the use of sensors (22A, 22B, 24A, 24B, 26) is not restricted to a specific type of sensor, multiple types of sensors in various combinations may be used.


As illustrated in FIG. 1, the sensors (22A, 22B) may comprise localized plantar pressure sensors located at spaced locations on the prosthetic foot (20) to measure the vertical plantar pressure of a specific underfoot area. Similarly, the plantar pressure sensors (24A, 24B) located on the side of the healthy foot may be provided at spaced locations in a custom-made insole, preferably in the form of a standard orthopaedic insole, that is modified to embed the two sensors (24A, 24B) for the measurement of two localized plantar pressures. The sensors (22A, 22B, 24A, 24B) are operable to measure the weight transfer along the foot as the individual moves which may be combined with other sensors (26) such as kinematic sensors to measure the angular speed of body segments of the lower extremities and kinematic sensors to measure the angle of the prosthesis (14) knee joint.


Each sensor (22A, 22B, 24A, 24B) may comprise a thin Force-Sensing Resistor (FSR) polymer cell directly connected to the interface (30) of the control system (100) or indirectly using an intermediary system (not shown), for instance a wireless emitter. Of course, other types of communication link technologies may be used, such as, for example, optical. The FSR cell has a decreasing electrical resistance in response to an increasing force applied perpendicularly to the surface thereof. Each cell outputs a time variable electrical signal for which the intensity is proportional to the total vertical plantar pressure over its surface area. The size and position of the plantar pressure sensors (22A, 22B, 24A, 24B) may be defined in accordance with the stability and the richness (intensity) of the localized plantar pressure signals provided by certain underfoot areas during locomotion. For example, it was found by experimentation that the heel and the toe regions are two regions of the foot sole where the Plantar Pressure Maximum Variation (PPMV) may be considered as providing a signal that is both stable and rich in information.


Accordingly, the controller (40) may use the data signals from the four localized plantar pressure sensors (22A, 22B, 24A, 24B), as well as the information gathered from the data signals of the other sensors (26) such as kinematic sensors, in order to decompose the locomotion of the individual (10) into a finite number of states, and generate the appropriate control signals for controlling the actuating mechanism (16) according to the locomotion. Of course, the controller (40) is not limited to the use of the preceding data signals.


An example of a controller (40) and control system (100) using sensors comprising plantar pressure sensors as well as kinematic sensors is described in U.S. patent application Ser. No. 10/600,725 filed Jun. 20, 2003, entitled “CONTROL SYSTEM AND METHOD FOR CONTROLLING AN ACTUATED PROSTHESIS”, by Stephane Bedard, the entire disclosure of which is hereby incorporated by reference herein.


To facilitate the acquisition of the data in a repeatable and dependable manner, the sensors (22A, 22B) are incorporated in to the structure of the foot (20). An embodiment of the instrumented prosthetic foot (20) is shown in more detail in FIGS. 3 and 4. The instrumented prosthetic foot (20) includes a foot plate (53), forming an elongated body, with a connector (51) at one end, a toe plate (55A) and a heel plate (55B) that is cantilevered from the foot plate (53). Such an arrangement is provided by, for example, a Vari-Flex® prosthetic foot from Össur. Pressure sensors (22A, 22B) are located at longitudinally spaced locations on the underside of the foot plate (53) and heel plate (55) respectively. The sensors (22A, 22B) are covered by rigid plates (52A, 52B) and resilient pads (54A, 54B). The pressure sensors (22A, 22B) are located so as to be responsive to loads imposed on the instrumented prosthetic foot (20) at the regions corresponding to the toe area and the heel area respectively.


The rigid plates (52A, 52B) covering the sensors (22A, 22B), although not essential, help to optimize the pressure distribution on the entire surface of the sensors (22A, 22B) as well as inhibiting any shearing and may be made of 85 A durometer polyurethane. Of course, other type of material may be used as well.


The pads (54A, 54B) wrap up the rigid plates (52A, 52B) and the sensors (22A, 22B), forming a ground engaging member, in order to optimize the contact between the instrumented prosthetic foot (20) and the ground. The pads (54A, 54B) may be made of 40 A durometer polyurethane. Of course, other type of material may be used as well.


In operation, therefore, as the foot (20) traverses the ground, the force applied to the heel plate (55B) is measured by the sensor (22B) and a corresponding signal forwarded to the controller (40). The force applied to the toe plate (55A) is also measured by the sensor (22A) and the relative loading between the two locations is measured. As the foot (20) continues to traverse the ground, the force applied to the toe area increases and that at the heel decreases to provide a pair of signals from which the disposition of the leg may be determined and the appropriate control provided to the actuator (16).


An alternative embodiment of the instrumented prosthetic foot (20) is shown in FIGS. 5 and 6. The instrumented prosthetic foot (20) includes connector (61), foot plate (63), toe plate (64A) and heel plate (64B), such as provided by, for example, a Vari-Flex® prosthetic foot from Össur. Pressure sensors (22A, 22B) are located between the foot plate (63) and rigid plates (62A, 62B). The pressure sensors (22A, 22B) are located so as to be responsive to load imposed on the instrumented prosthetic foot (20) at the regions corresponding to the toe area and the heel area respectively. More specifically, pressure sensor (22A) is sandwiched between a pair of rigid plates (62A), which in turn are positioned between the heel plate (64B) and the foot plate (63). Pressure sensor (22B) is sandwiched between a pair of rigid plates (62B), which in turn are positioned between the foot plate (63) and the connector (61).


As for the previous embodiment, rigid plates (62A, 62B) covering the sensors (22A, 22B), although not essential, help to optimize the pressure distribution on the entire surface of the sensors (22A, 22B) as well as inhibiting any shearing and may be made of 85 A durometer polyurethane. Of course, other type of material may be used as well.


Another alternative embodiment of the instrumented prosthetic foot (20) is shown in FIGS. 7 and 8. The instrumented prosthetic foot (20) includes connector (71), top foot plate (75), foam cushion core (73) and bottom foot plate (74), such as provided by, for example, a LP Talux® prosthetic foot from Össur. Pressure sensors (22A, 22B) are sandwiched between pairs of rigid plates (72A, 72B). The pressure sensors (22A, 22B) are located so as to be responsive to load imposed on the instrumented prosthetic foot (20) at the regions corresponding to the toe area and the heel area respectively. More specifically, pressure sensor (22A) is sandwiched between a pair of rigid plates (72A), which in turn are positioned within gap (76A), which is located between a bottom foot plate (74) and a foam cushion core (73). Pressure sensor (22B) is sandwiched between a pair of rigid plates (72B), which in turn are positioned within gap (76B), which is located within the foam cushion core (73).


Again, as for the previous embodiments, rigid plates (72A, 72B) covering the sensors (22A, 22B), although not essential, help to optimize the pressure distribution on the entire surface of the sensors (22A, 22B) as well as preventing any shearing and may be made of 85 A durometer polyurethane. Of course, other type of material may be used as well.


In the previous embodiments, the force (or pressure) at the toe and heel areas, F_toe and F_heel respectively, was obtained by positioning pressure sensors (22A, 22B) directly at those areas. More specifically, referring to FIG. 9, F_toe and F_heel were obtained as follows:

F_toe=F_toe_meas  Equation 1
F_heel=F_heel_meas  Equation 2


In other possible embodiments of the instrumented prosthetic foot (20), sensors (22A, 22B) may not be restricted to being positioned directly at the toe and heel areas, the equivalent information may be obtained by measuring the equivalent torque at the ankle and the axial force at the connector of the instrumented prosthetic foot (20). F_toe and F_heel may be defined in terms of the torque measured at the ankle, M_ankle_meas, and the force measured at the connector, F_conn_meas, using the following equations:









F_toe
=



M_ankle

_meas

+

(

F_conn


_meas
·
I_heel


)



(

I_heel
+
I_toe

)






Equation





3






F_heel
=




-
M_ankle


_meas

+

(

F_conn


_meas
·
I_toe


)



(

I_heel
+
I_toe

)






Equation





4







where

    • I_heel is the distance between the center of the connector and the center of the heel area;
    • I_toe is the distance between the center of the connector and the center of the toe area.


Following the previous discussion about the locations of sensors (22A, 22B), a further alternative embodiment of the instrumented prosthetic foot (20) is shown in FIGS. 10 and 11. The instrumented prosthetic foot (20) includes connector (81), foot plate (83), toe plate (84A) and heel plate (84B), such as provided by, for example, a Vari-Flex® prosthetic foot from Össur, and load cells (22A, 22B). Load cells (22A, 22B) are located below connector (91), load cell (22A) being slightly biased towards the toe area of the foot and load cell (22B) being slightly biased towards the heel area. Since the sensors (22A, 22B) are not located directly at the toe and heel areas, Equation 3 and Equation 4 may be used, for example by controller (40), to compute the equivalent pressures at the toe and heel areas by defining the equivalent torque at the ankle and the axial force at connector (81) as follows:

F_conn_meas=F22B+F22A  Equation 5
M_ankle_meas=F22B·I22B−F22A·I22A  Equation 6


Where

    • F22B is the force measured at sensor 22B;
    • F22A is the force measured at sensor 22A;
    • I22B is the distance between the center of the connector (81) and the center of sensor 22B;
    • I22A is the distance between the center of the connector (81) and the center of sensor 22A.


In the previous embodiments of the instrumented prosthetic foot (20), the force (or pressure) at the toe and heel areas, F_toe and F_heel respectively, was obtained either by positioning pressure sensors (22A, 22B) directly at those areas or by positioning pressure sensors or load cells (22A, 22B) in other areas and obtaining the equivalent information by computing the equivalent torque at the ankle and the axial force at the connector. Other types of sensors may also be used to obtain the equivalent torque at the ankle and the axial force at the connector. Such an example is illustrated by a further still embodiment of the instrumented prosthetic foot (20), which is shown in FIGS. 12 and 13. The instrumented prosthetic foot (20) includes connector (91), mounted on pivoting ankle (93). Bumpers (92A, 92B) are positioned between the pivoting ankle (93) and rocker plate (95) located on a foot plate (94). The pivoting ankle (93) is connected to the rocker plate (95) by a pivot pin (96). Such an arrangement is provided by, for example, an Elation® prosthetic foot from Össur. A load cell (22A) and an optical encoder (22B) are incorporated into the foot (20) to provide measurement of the distribution of forces along the foot (20). Load cell (22A) is positioned between connector (91) and pivoting ankle (93). Optical encoder (22B) comprises reader (221) and disk (223). Reader (221) is located on pivoting ankle (93) while disk (223) is located on rocker plate (95) and encircles pivot pin (96). Once again, Equation 3 and Equation 4 may be used, for example by controller (40), to compute the equivalent pressures at the toe and heel areas by defining the equivalent torque at the ankle and the axial force at connector (91) as follows:

F_conn_meas=F22A  Equation 7
M_ankle_meas=R_ankle_meas·R_const  Equation 8


Where

    • F22A is the force measured at sensor 22A;
    • R_ankle_meas is the rotation measurement of pivoting ankle (93) about pivot pin (96) as measured by optical encoder (22B);
    • R_const is a constant associated with the resistance of bumpers (92A, 92B) to compression, which constant varies depending in the material used.


A yet further alternative embodiment of the instrumented prosthetic foot (20) is shown in FIGS. 14 and 15. The instrumented prosthetic foot (20) includes connector (101), mounted on pivoting ankle (103). Bumpers (102A, 102B) are positioned between the pivoting ankle (103) and rocker plate (105) located on a foot plate (104). The pivoting ankle (103) is connected to the rocker plate (105) by a pivot pin (106). Such an arrangement is provided by, for example, an Elation® prosthetic foot from Össur. Pressure sensors (22A, 22B) and load cell (22C) are incorporated into the foot (20) to provide measurement of the distribution of forces along the foot (20). Pressure sensor (22A) is positioned between rocker plate (85) and bumper (82A) while pressure sensor (22B) is positioned between rocker plate (85) and bumper (82B). A load cell (22C) is positioned between connector (91) and pivoting ankle (93).


In this embodiment, Equation 6 is used to compute the equivalent torque at the ankle, while the axial force at connector (101) is computed using the following equation:

F_conn_meas=F22C  Equation 9


Load cell (22C) is required to compute the axial force at connector (101) since when there is no torque at the ankle, i.e. the wearer of the prosthesis is standing still, the axial force is being exerted in its entirety onto pivot pin (96).


In all of the described embodiments, the sensors (22A, 22B) may be directly connected to interface (30) of control system (100) or indirectly using an intermediary system (not shown), for instance a wireless emitter. Of course, other types of communication link technologies may be used, such as, for example, optical.


Other types of non-articulated or articulated prosthetic foot may be used as well as long as the selected prosthetic foot provides approximately the same dynamical response as the ones mentioned here above. Nevertheless, an articulated foot offers the best performances. The instrumented prosthetic foot (20) may further have an exposed metal or composite structure or it may have a cosmetic covering that gives it the appearance of a human ankle and foot.


It should be noted that the present invention is not limited to its use with the mechanical configuration illustrated in FIG. 1 or the control system (100) illustrated in FIG. 2. It may be used with a leg prosthesis having more than one joint. For instance, it may be used with a prosthesis having an ankle joint, a metatarsophalangeal joint or a hip joint in addition to a knee joint. Moreover, instead of a conventional socket a osseo-integrated devices could also be used, ensuring a direct attachment between the mechanical component of the prosthesis and the amputee skeleton. Other kinds of prostheses may be used as well.

Claims
  • 1. A prosthetic system for use with an above-knee amputee, the prosthetic system comprising: an actuatable knee member configured to be operably attached to an above-knee amputee at an upper portion and to a prosthetic foot and ankle system at a lower portion, the actuatable knee member being controlled by a controller;a prosthetic foot and ankle system comprising: a prosthetic foot comprising at least one elongated foot plate having a toe region and a heel region;an ankle structure pivotally connected to the prosthetic foot; anda connector configured to connect the prosthetic foot and ankle system to the actuatable knee member;a first sensor comprising an encoder configured to measure the rotation of the ankle structure about its pivot axis;a second sensor configured to measure an axial force at the connector of the prosthetic foot and ankle system; andan interface for transmitting signals from the first and second sensors to the controller, wherein the controller is configured to use the signals from the first and second sensors to control the actuatable knee member.
  • 2. A prosthetic system according to claim 1, wherein the second sensor comprises a load cell.
  • 3. A prosthetic system according to claim 1, further comprising a kinematic sensor configured to measure acceleration of the actuatable knee member.
  • 4. A prosthetic system according to claim 1, wherein the prosthetic foot includes a pair of underfoot locations, the first location corresponding to the heel area of the human foot and second location corresponding to the toe area of the human foot.
  • 5. A prosthetic system according to claim 4, further comprising first and second pressure sensors configured to provide measurement of a distribution of forces along the foot.
  • 6. A prosthetic system according to claim 5, wherein the first and second pressure sensors are positioned between the prosthetic foot and the ankle structure.
  • 7. A prosthetic system according to claim 1, wherein the second sensor is positioned between the ankle structure and the connector.
  • 8. A prosthetic system according to claim 1, wherein the first sensor comprises an optical encoder positioned on the ankle structure about its pivot axis with the elongated body.
  • 9. A prosthetic system according to claim 1, wherein the interface for transmitting signals from the first and second sensors to the controller is a wired connection.
  • 10. A prosthetic system according to claim 1, wherein the interface for transmitting signals from the first and second sensors to the controller is a wireless connection.
  • 11. A prosthetic system according to claim 1, wherein the actuatable knee member comprises a passive actuating mechanism.
  • 12. A prosthetic system according to claim 1, wherein the actuatable knee member comprises an active actuating mechanism.
  • 13. A prosthetic system for use with an above-knee amputee, the prosthetic system comprising: a knee joint prosthesis comprising an actuating mechanism;a controller for controlling the actuating mechanism; anda prosthetic foot and ankle system connected to the knee joint prosthesis and comprising: a prosthetic foot;an ankle structure pivotally connected to the prosthetic foot; andan ankle encoder positioned on the foot and ankle system and configured to measure rotation of the foot and ankle system about its pivot axis;a sensor for providing force measurements to the controller for controlling the actuating mechanism based on the force measurements; andwherein the actuating mechanism comprises an active actuating mechanism and the controller is configured to determine joint trajectories and a required angular force or torque of the knee joint prosthesis based on information from the ankle encoder and the sensor.
  • 14. The prosthetic system of claim 13, wherein the sensor comprises a load cell, and the prosthetic system further comprises first and second pressure sensors configured to provide measurement of a distribution of forces along the prosthetic foot.
  • 15. The prosthetic system of claim 13, wherein the sensor comprises a load cell for providing force measurements to the controller for controlling the actuating mechanism based on the force measurements.
  • 16. The prosthetic system of claim 13, wherein the knee joint prosthesis comprises one or more kinematic sensors configured to measure an angle of the knee joint prosthesis.
  • 17. The prosthetic system of claim 16, wherein the controller is configured to receive data from the one or more kinematic sensors of the knee joint prosthesis.
CROSS-REFERENCE TO RELATED APPLICATIONS

The present application is a continuation of U.S. patent application Ser. No. 11/881,964, filed 31 Jul. 2007, and entitled “INSTRUMENTED PROSTHETIC FOOT”, which is a divisional application of U.S. patent application Ser. No. 10/715,989, filed 18 Nov. 2003, each of which is incorporated herein by reference in its entirety and is to be considered a part of this specification.

US Referenced Citations (322)
Number Name Date Kind
2568051 Catranis Sep 1951 A
2619652 Vesper Dec 1952 A
2843853 Mauch Jul 1958 A
2859451 Mauch Nov 1958 A
3316558 Mortensen May 1967 A
3417409 Prahl Dec 1968 A
3501776 Beeker et al. Mar 1970 A
3659294 Glabiszewski May 1972 A
3701368 Stern Oct 1972 A
3791375 Pfeiffer Feb 1974 A
3820168 Horvath Jun 1974 A
3866246 Seamone et al. Feb 1975 A
3871032 Karas Mar 1975 A
3995324 Burch Dec 1976 A
4005496 Wilkes Feb 1977 A
4023215 Moore May 1977 A
4030141 Graupe Jun 1977 A
4064569 Campbell Dec 1977 A
4065815 Sen-Jung Jan 1978 A
4100918 Glancy Jul 1978 A
4179759 Smith Dec 1979 A
4209860 Graupe Jul 1980 A
4212087 Mortensen Jul 1980 A
4310932 Nader et al. Jan 1982 A
4314379 Tanie et al. Feb 1982 A
4354676 Ariel Oct 1982 A
4386891 Riefel et al. Jun 1983 A
4387472 Wilson Jun 1983 A
4433679 Mauldin et al. Feb 1984 A
4458367 May Jul 1984 A
4518307 Bloch May 1985 A
4521924 Jacobsen et al. Jun 1985 A
4556956 Dickenson et al. Dec 1985 A
4558704 Petrofsky Dec 1985 A
4569352 Petrofsky et al. Feb 1986 A
4578083 Williams Mar 1986 A
4600357 Coules Jul 1986 A
4602619 Wolf et al. Jul 1986 A
4617920 Carsalade Oct 1986 A
4649934 Fraser et al. Mar 1987 A
4657000 Hepburn Apr 1987 A
4657470 Clarke et al. Apr 1987 A
4685926 Haupt Aug 1987 A
4685927 Haupt Aug 1987 A
4711242 Petrofsky Dec 1987 A
4726404 Haber et al. Feb 1988 A
4730625 Fraser et al. Mar 1988 A
4760850 Phillips et al. Aug 1988 A
4770662 Giampapa Sep 1988 A
4776326 Roung et al. Oct 1988 A
4776852 Rubic Oct 1988 A
4790522 Drutchas Dec 1988 A
4795474 Horvath Jan 1989 A
4805455 DelGiorno et al. Feb 1989 A
4808187 Patterson et al. Feb 1989 A
4814661 Ratzlaff et al. Mar 1989 A
4838251 Chignon et al. Jun 1989 A
4843921 Kremer Jul 1989 A
4854428 Horvath Aug 1989 A
4865024 Hensley et al. Sep 1989 A
4872803 Asakawa Oct 1989 A
4876944 Wilson et al. Oct 1989 A
4878913 Aebischer et al. Nov 1989 A
4892554 Robinson Jan 1990 A
4893648 Horvath Jan 1990 A
4919418 Miller Apr 1990 A
4928676 Pansiera May 1990 A
4944755 Hennequin et al. Jul 1990 A
4958705 Horvath Sep 1990 A
4989161 Oaki Jan 1991 A
4994086 Edwards Feb 1991 A
5020790 Beard et al. Jun 1991 A
5033291 Podoloff et al. Jul 1991 A
5044360 Janke Sep 1991 A
5062673 Mimura Nov 1991 A
5062856 Sawamura et al. Nov 1991 A
5062857 Berringer Nov 1991 A
5086785 Gentile et al. Feb 1992 A
5092902 Adams et al. Mar 1992 A
5112296 Beard et al. May 1992 A
5112356 Harris et al. May 1992 A
5139525 Kristinsson Aug 1992 A
5153496 LaForge Oct 1992 A
5174168 Takagi et al. Dec 1992 A
5181931 Van de Veen Jan 1993 A
5197488 Kovacevic Mar 1993 A
5201772 Maxwell Apr 1993 A
5217500 Phillips Jun 1993 A
5219365 Sabolich Jun 1993 A
5230672 Brown et al. Jul 1993 A
5246465 Rincoe et al. Sep 1993 A
5252102 Singer et al. Oct 1993 A
5252901 Ozawa et al. Oct 1993 A
5253656 Rincoe Oct 1993 A
5265890 Balsells Nov 1993 A
5277281 Carlson et al. Jan 1994 A
5282460 Boldt Feb 1994 A
5284330 Carlson et al. Feb 1994 A
5314498 Gramnas May 1994 A
5323650 Fullen et al. Jun 1994 A
5327790 Levin et al. Jul 1994 A
5336269 Smits Aug 1994 A
5357696 Gray et al. Oct 1994 A
5376128 Bozeman, Jr. Dec 1994 A
5376133 Gramnas Dec 1994 A
5376137 Shorter et al. Dec 1994 A
5382373 Carlson et al. Jan 1995 A
5383939 James Jan 1995 A
5394132 Poil Feb 1995 A
5397287 Lindfors Mar 1995 A
5405407 Kodama et al. Apr 1995 A
5405409 Knoth Apr 1995 A
5405410 Arbogast et al. Apr 1995 A
5405510 Betts Apr 1995 A
5408873 Schmidt et al. Apr 1995 A
5413611 Haslam, II et al. May 1995 A
5422558 Stewart Jun 1995 A
5437611 Stern Aug 1995 A
5443521 Knoth et al. Aug 1995 A
5443524 Sawamura et al. Aug 1995 A
5472412 Knoth Dec 1995 A
5476441 Durfee et al. Dec 1995 A
5504415 Podrazhansky et al. Apr 1996 A
D372536 Grifka Aug 1996 S
5545232 Van de Veen Aug 1996 A
5545233 Fitzlaff Aug 1996 A
5551525 Pack et al. Sep 1996 A
5563458 Ericson Oct 1996 A
5566479 Gray et al. Oct 1996 A
5571205 James Nov 1996 A
5571210 Lindh Nov 1996 A
5571212 Cornelius Nov 1996 A
5571213 Allen Nov 1996 A
5583476 Langford Dec 1996 A
5586557 Nelson et al. Dec 1996 A
5624389 Zepf Apr 1997 A
5642096 Leyerer et al. Jun 1997 A
5645590 Van de Veen Jul 1997 A
5645752 Weiss et al. Jul 1997 A
5650704 Pratt et al. Jul 1997 A
5656915 Eaves Aug 1997 A
D383542 Wellershaus et al. Sep 1997 S
5662693 Johnson et al. Sep 1997 A
5670077 Carlson et al. Sep 1997 A
5678448 Fullen et al. Oct 1997 A
5683615 Munoz Nov 1997 A
5695527 Allen Dec 1997 A
5704945 Wagner et al. Jan 1998 A
5704946 Greene Jan 1998 A
5711746 Carlson Jan 1998 A
5728170 Becker et al. Mar 1998 A
5728174 Fitzlaff Mar 1998 A
5746774 Kramer May 1998 A
5749533 Daniels May 1998 A
5755812 Becker et al. May 1998 A
5755813 Krukenberg May 1998 A
5779735 Molino Jul 1998 A
5800561 Rodriguez Sep 1998 A
5800568 Atkinson et al. Sep 1998 A
5810752 Grifka Sep 1998 A
5823309 Gopalswamy et al. Oct 1998 A
D402368 Holzapfel Dec 1998 S
5842547 Carlson et al. Dec 1998 A
D407490 Zepf et al. Mar 1999 S
5878851 Carlson et al. Mar 1999 A
5888212 Petrofsky et al. Mar 1999 A
5888213 Sears et al. Mar 1999 A
5888236 Van de Veen Mar 1999 A
5888239 Wellershaus et al. Mar 1999 A
5888246 Gow Mar 1999 A
5893891 Zahedi Apr 1999 A
5895430 O'Connor Apr 1999 A
5899869 Barrack, Jr. et al. May 1999 A
5900184 Weiss et al. May 1999 A
5906767 Karol et al. May 1999 A
5919149 Allum Jul 1999 A
5929332 Brown Jul 1999 A
5941913 Woolnough et al. Aug 1999 A
5947238 Jolly et al. Sep 1999 A
5948021 Radcliffe Sep 1999 A
5955667 Fyfe Sep 1999 A
5957981 Grammas Sep 1999 A
5960918 Moser et al. Oct 1999 A
5967273 Hampton Oct 1999 A
5972035 Blatchford Oct 1999 A
5982156 Weimer et al. Nov 1999 A
5998930 Upadhyay et al. Dec 1999 A
6006412 Bergmann et al. Dec 1999 A
6007582 May Dec 1999 A
RE36521 Hiemisch Jan 2000 E
6039091 Rodgers et al. Mar 2000 A
6061577 Andrieu et al. May 2000 A
6080123 Pansiera Jun 2000 A
6086616 Okuda et al. Jul 2000 A
6091977 Tarjan et al. Jul 2000 A
6093162 Fairleigh et al. Jul 2000 A
6095486 Ivers et al. Aug 2000 A
6113642 Petrofsky et al. Sep 2000 A
6117177 Chen et al. Sep 2000 A
6129690 Hamlin et al. Oct 2000 A
6139586 Wagner et al. Oct 2000 A
6151624 Teare et al. Nov 2000 A
6164967 Sale et al. Dec 2000 A
6165226 Wagner Dec 2000 A
6168634 Schmitz Jan 2001 B1
6183425 Whalen et al. Feb 2001 B1
6185614 Cuomo et al. Feb 2001 B1
6187051 van de Veen Feb 2001 B1
D439339 Sawatzki Mar 2001 S
6195921 Truong Mar 2001 B1
6206932 Johnson Mar 2001 B1
6206933 Shorter et al. Mar 2001 B1
6206934 Phillips Mar 2001 B1
6241775 Blatchford Jun 2001 B1
D446304 Sawatzki Aug 2001 S
6301964 Fyfe et al. Oct 2001 B1
6342076 Lundborg Jan 2002 B1
6350286 Atkinson et al. Feb 2002 B1
6352144 Brooks Mar 2002 B1
6361570 Gow Mar 2002 B1
6373152 Wang et al. Apr 2002 B1
6395193 Kintz et al. May 2002 B1
6409695 Connelly Jun 2002 B1
6423098 Biedermann Jul 2002 B1
6425925 Grundei Jul 2002 B1
6430843 Potter et al. Aug 2002 B1
6436149 Rincoe Aug 2002 B1
6443993 Koniuk Sep 2002 B1
6443995 Townsend et al. Sep 2002 B1
6451481 Lee et al. Sep 2002 B1
6485519 Meyers et al. Nov 2002 B2
6494039 Pratt et al. Dec 2002 B2
6500210 Sabolich et al. Dec 2002 B1
6513381 Fyfe et al. Feb 2003 B2
6517585 Zahedi et al. Feb 2003 B1
6522266 Soehren et al. Feb 2003 B1
6537322 Johnson et al. Mar 2003 B1
6574655 Libert et al. Jun 2003 B1
6587728 Fang et al. Jul 2003 B2
6589287 Lundborg Jul 2003 B2
6599439 Iyengar et al. Jul 2003 B2
6602295 Doddroe et al. Aug 2003 B1
6610101 Herr et al. Aug 2003 B2
6613097 Cooper Sep 2003 B1
6645252 Asai et al. Nov 2003 B2
6663673 Christensen Dec 2003 B2
6671531 Al-Ali et al. Dec 2003 B2
6679920 Biedermann et al. Jan 2004 B2
6695885 Schulman et al. Feb 2004 B2
6719806 Zahedi et al. Apr 2004 B1
6733180 Nakamura May 2004 B2
6740123 Davalli et al. May 2004 B2
6740125 Mosler May 2004 B2
6743260 Townsend et al. Jun 2004 B2
6755870 Biedermann et al. Jun 2004 B1
6761743 Johnson Jul 2004 B1
6764520 Deffenbaugh et al. Jul 2004 B2
6770045 Naft et al. Aug 2004 B2
6780343 Hata et al. Aug 2004 B2
6805677 Simmons Oct 2004 B2
6811571 Phillips Nov 2004 B1
6813582 Levi et al. Nov 2004 B2
D499487 Bedard et al. Dec 2004 S
D501925 Bedard et al. Feb 2005 S
6855170 Gramnas Feb 2005 B2
6875241 Christensen Apr 2005 B2
6876135 Pelrine Apr 2005 B2
6908488 Passivaara Jun 2005 B2
6910331 Asai et al. Jun 2005 B2
6918308 Biedermann Jul 2005 B2
6966882 Horst Nov 2005 B2
6966933 Christensen Nov 2005 B2
7025792 Collier Apr 2006 B2
7029500 Martin Apr 2006 B2
7042197 Turner et al. May 2006 B2
7063727 Phillips et al. Jun 2006 B2
7066896 Kiselik Jun 2006 B1
7101487 Hsu et al. Sep 2006 B2
7118601 Yasui Oct 2006 B2
7137998 Bedard Nov 2006 B2
7147667 Bedard Dec 2006 B2
7150762 Caspers Dec 2006 B2
7164967 Etienne-Cummings et al. Jan 2007 B2
7182738 Bonutti et al. Feb 2007 B2
7198071 Bisbee, III et al. Apr 2007 B2
7209788 Nicolelis et al. Apr 2007 B2
7295892 Herr et al. Nov 2007 B2
7314490 Bedard et al. Jan 2008 B2
7381192 Brodard Jun 2008 B2
7396337 McBean et al. Jul 2008 B2
7410338 Schiele et al. Aug 2008 B2
7410471 Campbell et al. Aug 2008 B1
7462201 Christensen Dec 2008 B2
7503900 Goswami Mar 2009 B2
7520904 Christensen Apr 2009 B2
7575602 Amirouche et al. Aug 2009 B2
7641700 Yasui Jan 2010 B2
7736394 Bedard et al. Jun 2010 B2
7815689 Bedard et al. Oct 2010 B2
7867284 Bedard Jan 2011 B2
7918808 Simmons Apr 2011 B2
7955398 Bedard et al. Jun 2011 B2
8007544 Jonsson et al. Aug 2011 B2
8075633 Herr et al. Dec 2011 B2
8109890 Kamiar et al. Feb 2012 B2
8231687 Bedard et al. Jul 2012 B2
8287477 Herr et al. Oct 2012 B1
8323354 Bedard et al. Dec 2012 B2
20020087216 Atkinson et al. Jul 2002 A1
20030019700 Wittig Jan 2003 A1
20030120353 Christensen Jun 2003 A1
20030149600 Williams Aug 2003 A1
20040064195 Herr Apr 2004 A1
20040083007 Molino et al. Apr 2004 A1
20050107889 Bedard et al. May 2005 A1
20070027557 Jonsson et al. Feb 2007 A1
20080046096 Bedard et al. Feb 2008 A1
20100262260 Bedard et al. Oct 2010 A1
20110130847 Bedard et al. Jun 2011 A1
20110137429 Bedard Jun 2011 A1
20130035769 Bedard et al. Feb 2013 A1
20130297041 Bedard et al. Nov 2013 A1
Foreign Referenced Citations (67)
Number Date Country
543277 Dec 1973 CH
2043873 Sep 1989 CN
1215614 May 1999 CN
2400072 Oct 2000 CN
3543291 Jun 1987 DE
3923056 Jan 1991 DE
3923057 Jan 1991 DE
4229330 Mar 1994 DE
195 21 464 Mar 1997 DE
0358056 Mar 1990 EP
0380060 Aug 1990 EP
0654254 May 1995 EP
0902547 Mar 1999 EP
1125825 Jan 2001 EP
1107420 Jun 2001 EP
1166726 Jan 2002 EP
1169982 Jan 2002 EP
2293185 Jul 1976 FR
2623086 May 1989 FR
2816463 May 2002 FR
2201260 Aug 1988 GB
2244006 Nov 1991 GB
2260495 Apr 1993 GB
2301776 Dec 1996 GB
2302949 Feb 1997 GB
2367753 Aug 1998 GB
2338653 Dec 1999 GB
2343848 May 2000 GB
59-32453 Feb 1984 JP
59-71747 Apr 1984 JP
60-081530 May 1985 JP
59-189843 Oct 1985 JP
01-244748 Sep 1989 JP
03-181633 Aug 1991 JP
04-78337 Mar 1992 JP
05-123348 May 1993 JP
5-161668 Jun 1993 JP
7-24766 Jan 1995 JP
11-000345 Jan 1999 JP
11-056885 Mar 1999 JP
11-215793 Aug 1999 JP
2001-277175 Oct 2001 JP
2002-191654 Jul 2002 JP
2005-500 Jan 2005 JP
20020041137 Jun 2002 KR
1447366 Dec 1988 SU
1731210 May 1992 SU
WO 9406374 Mar 1994 WO
WO 9409727 May 1994 WO
WO 9526171 Oct 1995 WO
WO 9639110 Dec 1996 WO
WO 9641599 Dec 1996 WO
WO 9700661 Jan 1997 WO
WO 9727822 Aug 1997 WO
WO 982552 Jun 1998 WO
WO 9825552 Jun 1998 WO
WO 9838951 Sep 1998 WO
WO 9900075 Jan 1999 WO
WO 9905991 Feb 1999 WO
WO 9929272 Jun 1999 WO
WO 9955261 Nov 1999 WO
WO 0027318 May 2000 WO
WO 0117466 Mar 2001 WO
WO 0280825 Oct 2002 WO
WO 03003953 Jan 2003 WO
WO 03088373 Oct 2003 WO
WO 2004017871 Mar 2004 WO
Non-Patent Literature Citations (105)
Entry
Abbas, et al., Neural Network Control of Functional Neuromuscular Stimulation Systems: Computer Stimulation Studies, 1995.
Advanced Materials & Processes, Sep. 2003, vol. 9, Issue 161, pp. 29-30, 3 pages.
Kamiar Aminian et al., Estimation of Speed and Incline of Walking Using Neural Network, IEEE Transactions on Instrumentation and Measurement, vol. 44, No. 3, Jun. 1995, at 743.
Andrews, Bij., et al., Hybrid FES Orthosis Incorporating Closed Loop Control and Sensory Feedback, J. Biomed. Eng. 1988, vol. 10, April, 189-195.
Bachmann, et al., Inertial and Magnetic Tracking of Limb Segment Orientation for Inserting Humans into Synthetic Environments, 2000.
Bar, A., et al., “Adaptive Microcomputer Control of an Artificial Knee in Level Walking,” J. Biomechanical Eng., vol. 5, pp. 145-150, 1983.
Baten, Inertial Sensing in Ambulatory Back Load Estimation, 1996.
Benedetti, Gait Analysis of Patients Affected by Post-Traumatic Ankle Arthrosis Treated with Osteochondral Allograft Transplantation, SIAMOC 2006 Congress Abstracts/Gait & Posture.
Blaya, Force-Controllable Ankle Foot Orthosis (AFO) to Assist Drop Foot Gait, Feb. 2003 (believed to be catalogued on or after Jul. 8, 2003.
Blumentritt, Siegmar, Ph.D., et al.; “Design Principles, Biomedical Data and Clinical Experience with a Polycentric Knee Offering Controlled Stance Phase Knee Flexion: A Preliminary Report”, 1997, Journal of Prothetics and Orthotics, vol. 9, No. 1, 18-24.
Bogert, et al., A Method for Inverse Dynamic Analysis Using Accelerometry, 1995.
Bortz, A New Mathematical Formulation for Strapdown Inertial Navigation, 1971.
Bouten, A Triaxial Accelerometer and Portable Data Processing Unit for the Assessment of Daily Physical Activity, 1997.
Bouten, Carlifin V., et al., Assessment of Energy Expenditure for Physical Activity Using a Triaxial Accelerometer. Med. Sci. Sports Exerc., vol. 26, No. 12, pp. 151-1523, 1994.
Carlson et al., “Smart Prosthetics Based on Magnetorheological Fluids”, 8th Annual Symposium on Smart Structures and Materials, Mar. 2001.
Carlson, J. David, What makes a Good MR Fluid?, 8th International Conference on Electrorheological (ER) Fluids and magnetorheological (MR) Suspensions, Nice 7 pages, Jul. 9-13, 2001.
Claiborne Jr., C.J., “Making Inodes Behave,”, Linux Journal, Publ. By SSC Inc, USA, Feb. 2001, No. 82, pp. 94-99.
Copes/Bionic Ankle, The Most Significant Development in Ankle Prosthetics in Over a Half Century, 1985.
Crago, et al., New Control Strategies for Neuroprosthetic Systems, 1996.
Dai R, et al., Application of Tilt Sensors in Functional Electrical Stimulation. IEEE Trans. Rehab. Eng. 1996; 4(2):63-71.
Dietl, H. Bargehr, Der Einsatz von Elektronik bei Prothesen zur Versorgung der unteren Extremitat, Med. Orth. Tech. 117 1997, pp. 31-35.
Fisekovic, et al., New Controller for Functional Electrical Stimulation Systems, 2000.
Flowers, et al., Journal of Biomechanical Engineering: Transactions of the ASME; Feb. 1977, pp. 3-8.
Foerster, et al., Detection of Posture and Motion by Accelerometry—A Validation Study in Ambulatory Monitoring, 1999.
Foxlin, et al., Miniature 6-DOF Inertial System for Tracking HMDs, 1998.
Fujita, K. et al., Joint Angle Control with Command Filter for Human Ankle Movement Using Functional Electrical Stimulation, Proceedings of the 9th Annual Conference of the IEEE Engineering in Medicine and Biology Society, Nov. 13-16, 1987.
Gelat, Thierry et al., Adaptation of the gait initiation process for stepping on to a new level using a single step. Exp Brain Res(2000) 133-538-546, Jun. 21, 2000, pp. 9.
Graps, A., An Introduction to Wavelets, IEEE Computational Science & Engineering, 1995.
Grimes, Donald L., An Active Multi-Mode Above-Knee Prosthesis Controller, Massachusetts Institute of Technology 1979, 158 pages, 1979.
Gronqvist, Raoul et al., Human-centered approaches in slipperiness measurement, Ergonomics, Oct. 20, 2001, vol. 44, Issue 13, pp. 1167-1199 (32 pages).
Hanafusa et al., “A Robot Hand with Elastic Fingers and Its Application to Assembly Process,” pp. 337-359, Robot Motion, Brady et al., MIT Press, Cambridge, MA, 1982.
Hanson, James P. et al., Predicting slips and falls considering required and available friction, Ergonomics, 1999, vol. 42, Issue 12, pp. 1619-1633 (15 pages).
Hashimoto et al., “An instrumented compliant wrist using a parallel mechanism,” Japan/USA Symposium on Flexible Automation, vol. 1, pp. 741-744, ASME, 1992.
Hayes, W.C., et al., Leg Motion Analysis During Gait by Multiaxial Accelerometry: Theoretical Foundations and Preliminary Validations. Journal of Biomechanical Engineering, vol. 105, Aug. 1983, p. 283-289.
Herr, et al., “User-adaptive control of a magnetorheological prosthetic knee”, Industrial Robot: an International Journal, vol. 30, No. 1, (2003) pp. 42-55.
Herr, Hugh, Presentation at “Experiencing the Frontiers of Biomedical Technology,” (Mar. 10-11, 2003).
Herr, et al., Patient-Adaptive Prosthetic and Orthotic Leg Systems, 12th nordic Baltic Conference on Biomedical Engineering and Medical Physics, Processdings of the International Federation for medical & Biological Engineering, 2002.
Heyn, Andreas, et al., The Kinematics of the Swing Phase Obtained From Accelerometer and Gyroscope Measurements, 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Amsterdan 1996, p. 463-464.
Hill, Stephen W. et al., Altered kinetic strategy for the control of swing limb elevation over obstacles in unilateral below-knee amputee gait, Journal of Biomechanics, 1999, vol. 32, pp. 545-549 (5 pages).
Howard, “Joint and Actuator Design for Enhanced Stability in Robotic Force Control,” Ph.D. thesis, Massachusetts Inst. of Technology, Dept. of Aeronautics and Astronautics, 1990.
Jonic, et al., Three Machine Learning Techniques for Automatic Determination of Rules to Control Locomotion, 1999.
Kidder, Steven M., et al., A System for the Analysis of Foot and Ankle Kinematics During Gait. EEE Transactions on Rehabilitation Engineering, vol. 4, No. 1, Mar. 1996.
Kirkwood, et al., Automatic Detection of Gait Events: A Case Study Using Inductive Learning Techniques, 1989.
Kirsner, Scott, “A Step in the Right Direction Biomedical Horizons Expanding,” Boston Globe (Mar. 17, 2003).
Kooij, et al., A Multisensory Integration Model of Human Stance Control, 1998.
Kostov, et al., Machine Learning in Control of Functional Electrical Stimulation Systems for Locomotion, 1995.
Kuster, M., et al., Kinematic and kinetic comparison of downhill and level walking, Clinical Biomechanics, 1995, vol. 10, Issue 2, pp. 79-84 (6 pages).
LaFortune, Mario A., Three Dimensional Acceleration of the Tibia During Walking and Running. J. Biomechanics vol. 24, No. 10, pp. 877-886, 1991.
Lee, S., Activity and Location Recognition Using Wearable Sensors, Pervasive Computing, IEEE, 2002.
LeFebvre, W., “Permissions and Access Control Lists”, UNIX Review's Performance Computing, Publ. by Miller Freeman, USA, Oct. 1998, vol. 16, No. 11, pp. 59-61.
Light, L.H., et al., Skeletal Transients on Heel Strike in Normal Walking with Different Footwear, Biomechanics, vol. 13, 1980, pp. 477-480.
Luinge, H.J., Inertial Sensing of Movement. Doctoral Thesis, Twente University Press, Enschede, Netherlands (2002) p. 9-13.
Mayagoitia, Ruth E., et al., Accelerometer and Rate Gyroscope Measurement of Kinematics: An Inexpensive Alternative to Optical Motion Analysis Systems. Journal of Biomechanics 35 (2002) 537-542.
Moe-Nilssen, A New Method for Evaluating Motor Control in Gait Under Real-Life Environmental Conditions, Parts 1—The instrument; Part 2: Gait Analysis, 1997.
Morris, J.R. W., Accelerometry—A Technique for the Measurement of Human Body Movements, J. Biomechanis, 1973, vol. 6, pp. 729-736.
Moseley, Anne M. et al., High- and low-ankle flexibility and motor task performance, Gait and Posture, 2003, vol. 18, pp. 73-80 (8 pages).
Nadeau, S. et al., Frontal and sagittal plane analyses of the stair climbing task in healthy adults aged over 40 years: what are the challenges compared to level walking?, Clinical Biomechanics, 2003, vol. 18, pp. 950-959 (10 pages).
A. Nakagawa, Intelligent Knee Mechanism and the Possibility to Apply the Principle to the Other Joints, Engineering in Medicine and Biology Society, Proceedings of the 20th Annual International Conference of the IEEE, vol. 20, No. 5, Dec. 1998, at 2282.
Namespaces in XML, World Wide Web Consortium Working Draft Sep. 16, 1998; Tim bray (Textuality); Dave Hollander (Hewlett-Packard Company); Andrew Layman (Microsoft).
Otto Bock Orthopadische Industrie, C-LEG a new dimension in amputee mobility, Otto Bock Data Sheet 1997.
Otto Bock Orthopadische Industrie GMBH & Co., C-Leg Fitting Statistics (Abstract), Mar. 2000, 4 pages.
Otto Bock Orthopadische Industrie, The Electronic C-Leg compact Leg Prosthesis System, Instructions for Use; 2002.
Otto Bock Orthopadische Industrie, The Electronic C-Leg Knee Joint System, Instructions for Use; 2002. available at http://www.ottobockus.com/products/lower—limb—prosthetics/c-leg—instructions.pdg, 32 pages (printed Jul. 20, 2006).
Otto, Judith, “Prosthetic Knees: What's on the Way?”, The O&P edge, http://www.oandp.com/edge/issues/ articles/2003 -10—02 .asp, Oct. 2003, 5 pages.
Otto, Judith, “Prosthetic Knees: What's Currently New and Impressive?”, The O&P Edge, http://www.oandp.com/edge/issues/articles/2003-10—03.sp, Oct. 2003, 4 pages.
Petrofsky, Jerrold S., et. al., Feedback Control System for Walking in Man. Comput. Biol. Med. vol. 14, No. 2, pp. 135-149, 1984.
Pfeffer et al. , “Experiments with a Dual-Armed, Cooperative, Flexible-Drivetrain Robot System,” Proc. 1993 IEEE Int. Conf. on Robotics & Automation, vol. 3, pp. 601-608, May 5, 1993.
Popovic, D. et al.; Optimal control for an Above-Knee Prosthesis With Two Degrees of Freedom, 1995, pp. 89-98, Jo. Biomechanics, vol. 28, No. 1.
Dejan Popovic et al., Control Aspects of Active Above-Knee Prosthesis, International Journal of Man-Machine Studies, vol. 35, Issue 6, Dec. 1991, at 751.
Powers, Christopher M. et al., Stair ambulation in persons with transtibial amputation: An analysis of the Seattle LightFootTM, Journal of Rehabilitation Research and Development, Jan. 1997, vol. 34, Issue 1, pp. 9-18 (10 pages).
Rao, Sreesha S. et al., Segment Velocities in Normal and Transtibial Amputees: Prosthetic Design Implications, IEEE Transactions on Rehabilitation Engineering, Jun. 1998, vol. 6, Issue 2, pp. 219-226 (8 pages).
Redfern, Mark S. et al., Biomechanics of descending ramps, Gait and Posture, 1997, vol. 6, pp. 119-125 (7 pages).
Reiner, Robert et al., Stair ascent and descent at different inclinations, Gait and Posture, 2002, vol. 15, pp. 32-44 (13 pages).
Reitman, J. S., et al., Gait Analysis in Prosthetics: Opinions, Ideas, and Conclusions, Prosthetics and Orthotics International, 2002, 26, 50-57.
Robinson, David W. et al., Series Elastic Actuator Development for a Biomimetic Walking Robot, MIT Leg Laboratory, 1999.
Robinson, David William, Design and Analysis of Series Elasticity in Closed-Loop Actuator Force Control, MIT Department of Mechanical Engineering, Jun. 1996.
Schmalz T. et al., “Energy Efficiency of Trans-Femoral Amputees Walking on Computer-Controlled Prosthetic Knee Joint ‘C-LEG’” in 3 pages, International Society for Prosthetics and Orthotics: Conference book IXth World Congress ISPO, 1998.
Sekine, et al., Classification of Waist-Acceleration Signals in a Continuous Walking Record, 2000.
Sin S. W., et al., Significance of Non-Level Walking on Transtibial Prosthesis Fitting with Particular Reference to the Effects of Anterior-Posterior Alignment, Journal of Rehabilitation Research and Development vol. 38 No. 1, Jan./Feb. 2001, p. 1-6.
Smidt, G.L., et al., An Automated Accelerometry System for Gait Analysis, J. Biomechanics. 1977, vol. 10, pp. 367-375.
State-of-the-Art Prosthetic Leg Incorporates Magneto-Rheological Technology, Medical Product Manufacturing News, p. 42, Nov. 2000.
Suga, T, et al., “Newly designed computer controlled knee-ankle-foot orthosis (Intellegent Orthosis)”, Prostetics and Orthotics International, 1998, 22, 230-239.
Sugano et al., “Force Control of the Robot Finger Joint equipped with Mechanical Compliance Adjuster,” Proc. 1992 IEEE/RSJ Int. Conf. on Intell. Robots & Sys., pp. 2005-2013, Jul. 1992.
Thakkar, Sneha, “Energy Economy Gait Analysis of an Autoadaptive Prosthetic Knee”, Master's Thesis submitted to the Dept. of Electrical Engineering and Computer Science, MIT (2002) pp. 1-58.
R. Tomovic et al., A Finite State Approach to the Synthesis of Bioengineering Control Systems, IEEE Transactions on Human Factors in Electronics, vol. HFE-7, No. 2, Jun. 1966.
Tong, et al., Virtual Artificial Sensor Technique for Functional Electrical Stimulation, 1998.
Tong, Kaiyu and Malcolm H. Granat, A Practical Gait Analysis System Using Gyroscopes, Medical Engineering & Physics, vol. 21, No. 2, Mar. 1999, at 87-94.
Townsend Ma et al., “Biomechanics and modeling of bipedal climbing and descending.” Journal of Biomechanics 1976, vol. 9, No. 4, pp. 227-239, XP008078405.
U.S. Appl. No. 60/371,974 to Martin, filed Apr. 12, 2002.
Van der Loos, H.F.M., et al., “ProVAR Assistive Robot System Architecture”, Proceedings of the 1999 IEEE International Conference on Robotics & Automation; Detroit, Michigan, May 1999, pp. 741-746.
Peter H. Veltink et al. (1993), The Feasibility of Posture and Movement Detection by Accelerometry, in 15th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Oct. 28-31, 1993, San Diego, CA, 1230-1231.
Veltink, et al., Detection of Static and Dynamic Activities Using Uniaxial Accelerometers, 1996.
Wilkenfeld, Ari Ph.D.; An Auto-Adaptive External Knee Prosthesis, Artificial Intelligence Laboratory, MIT, Cambridge, Massachusetts, 3 pages, Sep. 2000.
Wilkenfeld, Ari Ph.D.; Biologically inspired autoadaptive control of a knee prosthesis, Dissertation Abstract, MIT, Cambridge, Massachusetts, 1 page, Sep. 2000.
Willemsen, A. Th. M., et al., Real-Time Gait Assessment Utilizing a New Way of Accelerometry. J. Biomechanics vol. 23, No. 8, pp. 859-863, 1990.
Willemsen, Antoon Th. M., et al., Automatic Stance-Swing Phase Detection from Accelerometer Data for Peroneal Nerve Stimulation. IEEE Trasnactions on Biomedical Engineering, vol. 37, No. 12, Dec. 1990, p. 1201-1208.
Williamson, Matthew M., Series Elastic Actuators, Massachusetts Institute of Technology Artificial Intelligence Laboratory, A.I. Technical Report No. 1524, Jan. 1995.
Woodward, M I, et al., Skeletal Accelerations Measured During Different Exercises. Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering Medicine 1993 207:79, DOI: 10.1243/PIME—PROC—1993—207—274—02.
Wu, Ge, The Study of Kinematic Transients in Locomotion Using the Integrated Kinematic Sensor, IEEE Transactions on Rehabilitation Engineering, vol. 4, No. 3, Sep. 1996, p. 193-200.
Flowers, A Man-Interactive Simulator System for Above-Knee Prosthetics Studies, Aug. 1972.
Martens, W.L.J.; “Exploring Information Content and Some Application of Body Mounted Piezo-Resistive Accelerometers,” In P.H. Veltink, & R.C. van Lummel (Eds.), Dynamic analysis using body fixed sensors, Second World Congress of Biomechanics, Amsterdam, 1994, pp. 9-12.
Murray, M. Pat, et al. Walking Patterns of Normal Men, The Journal of Bone and Joint Surgery, vol. 46-A, No. 2, Mar. 1964.
Otto Bock's C-Leg, see http://web.archive.org/web/20040215152410/http:/www.ottobockus.com/products/lower—limb—prosthetics/c-leg.asp. Believed to have been available more than one year before Nov. 18, 2003. Applicant requests the Examiner to consider this reference as qualifying as prior art to the present application, but reserves the right to challenge the reference's prior art status at a later date.
Perry, Jacquelin, MD, Gait Analysis: Normal and Pathological Function, 1992.
Sowell, T.T., A Preliminary Clinical Evaluation of the Mauch Hydraulic Foot-Ankle System, 5 Prosthetics and Orthotics International 87 (1981).
Related Publications (1)
Number Date Country
20120191221 A1 Jul 2012 US
Divisions (1)
Number Date Country
Parent 10715989 Nov 2003 US
Child 11881964 US
Continuations (1)
Number Date Country
Parent 11881964 Jul 2007 US
Child 13354188 US