Variable mechanical-impedance artificial legs

Information

  • Patent Grant
  • 8551184
  • Patent Number
    8,551,184
  • Date Filed
    Wednesday, February 1, 2012
    12 years ago
  • Date Issued
    Tuesday, October 8, 2013
    11 years ago
  • Inventors
  • Original Assignees
  • Examiners
    • Willse; David H
    • Blanco; Javier
    Agents
    • Wolf, Greenfield & Sacks, P.C.
Abstract
In one aspect, the invention provides methods and apparatus facilitating an adjustable-stiffness prosthesis or orthosis (including approximations to arbitrarily definable non-linear spring functions). Spring rates may be varied under no-load conditions during a walking gate cycle to minimize power consumption. In another aspect, the invention provides methods and apparatus for outputting positive power from a prosthesis or orthosis, facilitating high-performance artificial limbs. In one embodiment of the invention, the positive power is transferred from a functioning muscle to the prosthesis or orthosis, which mimics or assists a non-functioning or impaired muscle. In another embodiment of the invention, the positive power comes from an on-board power source in the prosthesis or orthosis.
Description
FIELD OF THE INVENTION

The invention relates generally to the fields of legged robotics, orthotic leg devices and prosthetic leg joints, and more specifically to artificial limbs with time-variable mechanical parameters.


BACKGROUND

Prosthetic limbs have come a long way since the days of simple wooden “peg legs”. Today, amputee men running on a prosthetic leg can beat race times of the best unimpaired women runners. It is believed that new advances in prosthetic limbs (such as those embodied in the present invention) will soon lead to amputees being able to out-perform the best unimpaired athletes of the same sex in sports such as running. It is an object of the present invention to advance the state of prosthetic limbs to a new level, providing increased athletic performance, increased control, and reduced body strain. It is a further object of the present invention to provide essential elements needed for making prosthetic limbs that more accurately mimic the mechanical behavior of healthy human limbs.


Description of Normal, Level-Ground Walking:


In order to establish terminology used in this document, the basic walking progression from heel strike to toe off is first explained. There are three distinct phases to a walking stance-period as depicted in FIG. 1 with heel-toe sequence 1 through 7.


Saggital Plane Knee Phases






    • 1. Beginning with heel strike, the stance knee begins to flex slightly (Sequence 1-3). This flexion allows for shock absorption upon impact as well as keeping the body's center of gravity at a more constant vertical level throughout stance.

    • 2. After maximum flexion is reached in the stance knee, the joint begins to extend again, until full extension is reached (Sequence 3-5).

    • 3. During late stance, the knee of the supporting leg begins to flex again in preparation for the swing phase (Sequence 5-7). This is referred to in the literature as “knee break”. At this time, the adjacent foot strikes the ground and the body is in “double support mode” (that is to say, both legs are supporting body weight).


      Saggital Plane Ankle Phases

    • 1. Beginning with heel strike, the ankle undergoes a controlled plantar-flexion phase where the foot rotates towards the ground until the forefoot makes contact (Sequence 1-2).

    • 2. After controlled plantar-flexion, the ankle undergoes a controlled dorsi-flexion phase where the tibia rotates forwardly while the foot remains in contact with the ground (Sequence 2-5).

    • 3. During late stance, the ankle undergoes a powered plantar-flexion phase where the forefoot presses against the ground raising the heel from the ground (Sequence 5-7). This final phase of walking delivers a maximal level of mechanical power to the walking step to slow the fall of the body prior to heel strike of the adjacent, forwardly positioned leg.





The development of artificial leg systems that exhibit natural knee and ankle movements has been a long standing goal for designers of legged robots, prostheses and orthoses. In recent years, significant progress has been made in this area. The current state-of-the-art in prosthetic knee technology, the Otto Bock C-Leg, enables amputees to walk with early stance knee flexion and extension, and the state-of-the-art in ankle-foot systems (such as the Ossur Flex-Foot) allow for ankle controlled plantar-flexion and dorsi-flexion. Although these systems restore a high level of functionality to leg amputees, they nonetheless fail to restore normal levels of ankle powered plantar-flexion, a movement considered important not only for biological realism but also for walking economy. In FIG. 2, ankle power data are shown for ten normal subjects walking at four walking speeds from slow (½ m/sec) to fast (1.8 m/sec). As walking speed increases, both positive mechanical work and peak mechanical power output increase dramatically. Many ankle-foot systems, most notably the Flex-Foot, employ springs that store and release energy during each walking step. Although some power plantar-flexion is possible with these elastic systems, normal biological levels are not possible. In addition to power limitations, the flex-foot also does not change stiffness in response to disturbances. The human ankle-foot system has been observed to change stiffness in response to forward speed variation and ground irregularities. In FIG. 3, data are shown for a normal subject walking at three speeds, showing that as speed increases ankle stiffness during controlled plantar-flexion increases.


Artificial legs with a mechanical impedance that can be modeled as a spring in parallel with a damper are known in the art. Some prostheses with non-linear spring rates or variable damping rates are also known in the art. Unfortunately, any simple linear or non-linear spring action cannot adequately mimic a natural limb that puts out positive power during part of the gait cycle. A simple non-linear spring function is monotonic, and the force vs. displacement function is the same while loading the spring as while unloading the spring. It is an object of the present invention to provide actively electronically controlled prosthetic limbs which improve significantly on the performance of artificial legs known in the art, and which require minimal power from batteries and the like. It is a further object of the present invention to provide advanced electronically-controlled artificial legs which still function reasonably well should the active control function fail (for instance due to power to the electronics of the limb being lost). Still further, it is an object of the present invention to provide artificial legs capable of delivering power at places in the gait cycle where a normal biological ankle delivers power. And finally, it is an object of the present invention to provide prosthetic legs with a controlled mechanical impedance and the ability to deliver power, while minimizing the inertial moment of the limb about the point where it attaches to the residual biological limb.


During use, biological limbs can be modeled as a variable spring-rate spring in parallel with a variable damping-rate damper in parallel with a variable-power-output forcing function (as shown in FIG. 4a). In some activities, natural human limbs act mostly as spring-damper combinations. One example of such an activity is a slow walk. When walking slowly, a person's lower legs (foot and ankle system) act mostly as a system of springs and dampers. As walking speed increases, the energy-per-step put out by the muscles in the lower leg increases. This is supported by the data in FIG. 2.


Muscle tissue can be controlled through nerve impulses to provide variable spring rate, variable damping rate, and variable forcing function. It is an objective of the present invention to better emulate the wide range of controllability of damping rate, spring rate, and forcing function provided by human muscles, and in some cases to provide combination of these functions which are outside the range of natural muscles.


SUMMARY OF THE INVENTION

There are two major classes of embodiments of the present invention. The first major class provides for actively controlled passive mechanical parameters (actively controlled spring rate and damping rate). This major class of embodiments will be referred to as variable-stiffness embodiments. Three sub-classes of variable-stiffness embodiments are disclosed:


1) Multiple parallel interlockable springs.


2) Variable mechanical advantage.


3) Pressure-variable pneumatics.


The second major class of embodiments of the present invention allows for the controlled storage and release of mechanical energy within a gait cycle according to any arbitrary function, including functions not available through simple nonlinear springs. Within this second major class of embodiments, energy can be stored and released at rates which are variable under active control. Thus for a given joint, the force vs. displacement function is not constrained to be monotonic or single-valued. Within this class of embodiments, energy (from either muscle or a separate on-board power source) can be stored and released along arbitrarily defined functions of joint angular or linear displacement, force, etc. This major subclass of embodiments shall be referred to herein as energy transfer embodiments. Two sub-classes of energy transfer embodiments are disclosed:

    • 1) Bi-articular embodiments (which transfer energy from a proximal joint to a distal joint to mimic the presence of a missing joint).
    • 2) Catapult embodiments (which store energy from a power source over one span of time and release it over another span of time to aid locomotion).


The present invention makes possible prostheses that have mechanical impedance components (damping and spring rate) and power output components that are actively controllable as functions of joint position, angular velocity, and phase of gait. When used in a prosthetic leg, the present invention makes possible control of mechanical parameters as a function of how fast the user is walking or running, and as a function of where within a particular step the prosthetic leg is operating.


It is often necessary to apply positive mechanical power in running shoes or in orthotic and prosthetic (O&P) leg joints to increase locomotory speed, to jump higher, or to produce a more natural walking or running gait. For example, when walking at moderate to high speeds, the ankle generates mechanical power to propel the lower leg upwards and forwards during swing phase initiation. In FIG. 2, data are shown for ten normal subjects showing that the ankle delivers more energy during a single step than it absorbs, especially for moderate to fast walking speeds.


Two catapult embodiments of the present invention are described in which elastic strain energy is stored during a walking, running or jumping phase and later used to power joint movements. In a first embodiment, catapult systems are described in which storage and release of stored elastic energy occurs without delay. In a second embodiment, elastic strain energy is stored and held for some time period before release. In each Embodiment, mechanism architecture, sensing and control systems are described for shoe and O&P leg devices. Although just a few devices are described herein, it is to be understood that the principles could be used for a wide variety of applications within the fields of human-machine systems or legged robots. Examples of these first and second catapult embodiments are shown in FIGS. 4 through 6.


One bi-articular embodiment of the invention described herein comprises a system of knee-ankle springs and clutches that afford a transfer of energy from hip muscle extensor work to artificial ankle work to power late stance plantar-flexion. Since the energy for ankle plantar-flexion originates from muscle activity about the hip, a motor and power supply need not be placed at the ankle, lowering the total mass of the knee-ankle prosthesis and consequently the metabolic cost associated with accelerating the legs in walking. Examples of these embodiments are shown in FIGS. 7 and 8.


Several variable-stiffness embodiments are described herein in which variable spring-rate structures are constructed by varying the length of a moment arm which attaches to a spring element about a pivot axis, thus providing a variable rotational spring rate about the pivot axis. Examples of such embodiments are depicted in FIGS. 9 through 11. In a preferred embodiment, variations in the length of the moment arm are made under microprocessor control at times of zero load, to minimize power consumed in the active control system.


Variable-stiffness embodiments of the present invention employing multiple interlockable parallel spring elements are depicted in FIGS. 12 through 14. In FIGS. 12a and 12b, multiple parallel elastic leaf spring elements undergo paired interlocking at pre-set joint flexures or under microprocessor control. This embodiment makes possible arbitrary piecewise-linear approximations to non-linear spring functions (such as function 624 in FIG. 12d). A pneumatic embodiment which can be configured to behave similarly to the leaf spring embodiments shown in FIGS. 12a and 12b is shown in FIG. 13. In the pneumatic embodiment of FIG. 13, valves are electronically closed to effectively increase the number of pneumatic springs in parallel.


The multiple parallel spring elements in FIGS. 12a, 12b, and FIG. 13 could equivalently be replaced by other types of spring elements, such as coil springs, torsion bars, elastomeric blocks, etc.





BRIEF DESCRIPTION OF THE FIGURES


FIG. 1: Depiction of stages of a gait cycle, including controlled plantar-flexion, controlled dorsi-flexion, and powered plantar-flexion.



FIG. 2: Data from ten normal subjects are plotted showing mechanical power output versus percent gait cycle in walking. Both zero and one hundred percent gait cycle correspond to heel strike of the same foot



FIG. 3: Data for one subject, showing normal biological ankle function during the controlled plantar-flexion phase of walking.



FIG. 4
a: Basic catapult embodiment of the present invention, represented in terms of a lumped-parameter model.



FIG. 4
b: Force-displacement graph where darkened area represents extra stored energy (used in walking/running) put into catapult system by force actuator while prosthetic foot is off the ground.



FIG. 4
c: Side view of simplified prosthetic mechanism designed to provide powered plantar-flexion.



FIG. 4
d: Front view of simplified prosthetic mechanism designed to provide powered plantar-flexion.



FIG. 5
a: Catapult foot prosthesis or shoe orthosis for walking, running, and jumping, shown in the equilibrium configuration.



FIG. 5
b: Catapult foot prosthesis or shoe orthosis for walking, running, and jumping, shown in a compressed state.



FIG. 6
a: Side view of catapult leg prosthesis for walking, running, and jumping, shown in the equilibrium state.



FIG. 6
b: Side view of catapult leg prosthesis for walking, running, and jumping, shown in a compressed state.



FIG. 6
c: Front view of catapult leg prosthesis for walking, running, and jumping.



FIG. 7: An external, bi-articular transfemoral prosthesis or orthosis is shown in a heel strike to toe-off walking sequence. The system comprises springs and controllable clutches to transfer energy from hip muscular work to ankle powered plantar-flexion work.



FIG. 8: An external, bi-articular transfemoral prosthesis or orthosis is shown in a heel strike to toe-off walking sequence. The system comprises pneumatic springs and controllable valves to transfer energy from hip muscular work to ankle powered plantar-flexion work.



FIG. 9: Perpendicularly-variable-moment pivotal spring structure.



FIG. 10: Mechanical diagram of a low-profile prosthetic foot where spring elements are actively controlled (positioned) to affect ankle joint stiffness.



FIG. 11: Variable-stiffness joint according to the present invention, utilizing variable mechanical advantage to produce variable spring rate and/or variable damping rate.



FIG. 12
a: Multiply interlockable parallel leaf spring structure, shown in equilibrium position.



FIG. 12
b: Multiply interlockable parallel leaf spring structure, shown in a stored-energy position.



FIG. 12
c: End view of two dove-tailed slidably attached leaf spring terminations with controllable interlock actuator.



FIG. 12
d: Piecewise-linear approximation to nonlinear spring function achieved by interlocking successive parallel leaf springs at various angles, and smoothed nonlinear spring function achieved by interlocking successive parallel leaf springs through coupling springs.



FIG. 12
e: Nonlinear damping element coupling mechanism for coupling multiple spring elements.



FIG. 13: Multiple-pneumatic-chamber variable spring rate and energy transfer system.



FIG. 14: Prosthetic ankle/foot utilizing multiple interlockable parallel leaf springs for ankle spring.



FIG. 15: Example prosthetic ankle/foot known in the art.



FIG. 16: Variable-stiffness pneumatic spring.





DETAILED DESCRIPTION

A powered-catapult embodiment of the present invention is shown in FIGS. 4a-4d. FIG. 4a is a lumped-element model of a powered-catapult prosthetic. The mounted end 203 of the prosthesis attaches to the body, and the distal end 204 of the prosthesis interfaces to the environment (such as the ground for a leg prosthesis). Mounted end 203 is coupled to distal end 204 through spring 202, and through the series combination of force actuator 205 and force sensor 201. In some embodiments, displacement sensor 206 may also be included in parallel with spring 202. If the system is designed to operate in parallel with an existing limb, the muscles of the existing limb are modeled by muscle 200.


A mechanical implementation of lumped-element diagram 4a is shown in side view in FIG. 4c and in front view in FIG. 4d. In a preferred embodiment, during the portion of a gait cycle when the foot is not in contact with the ground, motor 205 turns spool 209 to wind on some of tension band 208, storing energy in spring 202. Force sensor 201 and winding distance sensor 207 may be used in a control loop to control how much energy is stored in spring 202, and how rapidly this energy is stored. Once the desired energy has been stored, clutch 207 is actuated to keep tension band 208 from unwinding and spring 202 from relaxing until the control system decides to release the stored energy. The energy stored in spring 202 during the swing phase of the gait cycle is represented by the dark area on the force vs. distance graph shown in FIG. 4b.


During the powered plantar-flexion phase of the gait cycle, the control system releases clutch 207, allowing the stored energy in spring 202 to be released, imitating the powered plantar-flexion stage of a normal gait cycle. This release of energy mimics the pulse of power put out by a biological ankle during the powered plantar-flexion stage of a walking or running gait cycle.


In an alternate embodiment, motor 205 may store energy in spring 202 at the same time as the natural leg stores impact energy during the gait cycle. This embodiment can be used to effectively implement one spring rate during compression (such as the spring rate depicted by the line from the origin to point Kd in FIG. 4b) and another spring rate during release (such as the spring rate depicted by the line from the origin to point Ks in FIG. 4b).


In an alternate embodiment, FIG. 5 shows a prosthetic foot or shoe orthosis that stores both muscle energy and motor energy in spring mechanism 300 during the gait cycle, for release during the powered plantar-flexion stage of the walking gait cycle (toe-off propulsion). When walking on this type of catapult prosthesis or foot orthosis, a person would experience a first (lower) spring rate (depicted by the line from the origin to point Kd in FIG. 4b), and a second (higher) spring rate (depicted by the line from the origin to point Ks in FIG. 4b) when releasing energy from spring 300 during the powered plantar-flexion phase of the gait cycle.


For catapult embodiments depicted in both FIG. 4 and in FIG. 5, part of the energy released during powered plantar-flexion came from leg muscle action compressing springs 202 and 300, and part came from an electromechanical actuator such as a motor. In a preferred embodiment of the present invention as depicted in FIG. 4, the majority of power stored in spring mechanisms by electromechanical actuators occurs during the minimal-load portion of the walking/running gait cycle (swing phase), and the start of the energy-release phase (late stance phase) of the gait cycle may be time-delayed with respect to the swing phase when motor energy is stored.



FIG. 6 is another depiction of the catapult leg prosthesis of FIG. 4, also showing socket 400, which attaches to the residual biological limb. Although the leg prostheses shown in FIGS. 4 and 6 are below-the-knee prostheses, the invention could also be employed in above-knee prostheses.


Two bi-articular embodiments of the present invention are shown in FIGS. 7 and 8. In a first embodiment (FIG. 7), a prosthesis (above or below knee), robotic leg or full leg orthosis is shown having above-knee segment (a), knee joint (b), ankle joint (c), posterior knee pivot (d), posterior clutch (e), posterior spring (f), posterior cord (g), knee-ankle transfer clutch (h), anterior pivot (i), anterior clutch (j), anterior spring (k), and anterior cord (I). Anterior spring (k) stretches and stores energy during early stance knee flexion (from 1 to 3) and then releases that energy during early stance knee extension (from 3 to 5). Here spring (k) exerts zero force when the knee is fully extended, and anterior clutch (j) is engaged or locked throughout early stance knee flexion and extension (from 1 to 5). This stored energy, together with an applied extensor hip moment from either a robotic or biological hip, result in an extensor moment at the knee, forcing the knee to extend and stretching posterior spring (f) (from 3 to 5). The spring equilibrium length of posterior spring (f) is equal to the minimum distance from posterior knee pivot (d) to posterior clutch (e) (leg configuration 3 in FIG. 7). To achieve this spring equilibrium, posterior clutch (e) retracts posterior cord (g) as the distance from posterior knee pivot (d) to posterior clutch (e) becomes smaller. When this distance begins to increase in response to knee extension and ankle dorsi-flexion (from 4 to 5), posterior clutch (e) engages, causing posterior spring (f) to stretch. When the ankle is maximally dorsi-flexed and the knee fully extended (leg configuration 5), posterior spring (f) becomes maximally stretched. When the leg assumes this posture, knee-ankle transfer clutch changes from a disengaged state to an engaged state. Engaging the knee-ankle clutch mechanically grounds spring (f) below the knee rotational axis, and consequently, all the energy stored in spring (f) is transferred through the ankle to power ankle plantar-flexion (from 6 to 7). During late stance (from 5 to 6), the knee of the supporting leg begins to flex again in preparation for the swing phase. For this late stance knee flexion, anterior clutch (j) is disengaged to allow the knee to freely flex without stretching anterior spring (k).


It should be understood that the bi-articular knee-ankle invention of embodiment I (FIG. 7) could assume many variations as would be obvious to those of ordinary skill in the art. For example, the system described herein could act in parallel to additional ankle-foot springs and/or to an active or passive knee damper. Additionally, instead of mechanically grounding spring (f) distal to the knee axis to effectively transfer all the stored energy through the ankle, the perpendicular distance from the line of spring force (f) to the knee's axis of rotation could go to zero as the knee approaches full extension.


In a second embodiment (FIG. 8), a prosthesis (above or below knee), robotic leg or full leg orthosis is shown having a similar energy transfer from hip muscle extensors to artificial leg to power ankle plantar-flexion, accept energies are stored within pneumatic springs about the knee and then transferred to the ankle via a fluid transfer system. In this embodiment, the transfer of energy occurs without a physical bi-articular spring such as posterior spring (f) in FIG. 7. In this embodiment, anterior pneumatic spring (j) compresses and stores energy during early stance knee flexion (from 1 to 3). Here anterior knee valve (k) is closed or locked throughout early stance knee flexion and extension (from 1 to 5). This stored energy, together with an applied extensor hip moment from either a robotic or biological hip, result in an extensor moment at the knee, forcing the knee to extend and compress posterior pneumatic spring (f) (from 3 to 5). It is important to note that posterior knee valve (g) is open during early stance knee flexion so that posterior pneumatic spring (f) exerts little force. Knee valve (g) is then closed during knee extension so that energy is stored in the posterior pneumatic spring (f). When the ankle is maximally dorsi-flexed and the knee fully extended (leg configuration 5), posterior pneumatic spring (f) is maximally compressed. When the leg assumes this posture, knee-ankle transfer valve changes from a closed state to an open state, and anterior ankle valve (n) changes to a closed state, allowing all the energy stored in spring (f) is be transferred through the ankle to power ankle plantar-flexion (from 6 to 7). During late stance (from 5 to 6), the knee of the supporting leg begins to flex again in preparation for the swing phase. For this late stance knee flexion, anterior and posterior valves (g, k) are open to allow the knee to freely flex without compressing anterior spring (j).


It should be understood that the bi-articular knee-ankle invention of embodiment II (FIG. 8) could assume many variations as would be obvious to those of ordinary skill in the art. For example, the system described herein could act in parallel to active or passive ankle-foot springs and/or to an active or passive knee damper. Additionally, the energy in posterior pneumatic spring (f) could be transferred to a temporary holding chamber to be later released to the ankle during powered plantar-flexion.


The mechanical system in FIG. 9 is a variable-mechanical-advantage embodiment of a variable-stiffness spring. Motors 500 and motor-driven screws 505 serve to change the moment of compression of bow spring 503 about pivot point 504. This mechanism may be used to adjust spring stiffness with minimal power under no-load conditions. It may also be used as an alternative way of storing energy in a spring which is under load, and thus may be used as a component of an immediate-release catapult system such as depicted in FIG. 5.



FIG. 10 depicts a low-profile prosthetic foot-ankle with top plate 1 and bottom plate 2, where spring elements are actively controlled (positioned) to affect ankle joint stiffness. This embodiment of the present invention is a variable-stiffness embodiment of the “variable mechanical advantage” sub-class. In this low-profile prosthetic ankle joint embodiment, side-to-side spring rates of the prosthetic ankle and front-to-back spring rates of the prosthetic ankle are adjusted by varying the distance of spring elements 4, 5, 6, and 7 from the central pivot point 15 of the ankle joint. Spring top plates 13 and spring bottom plates 12 of spring elements 4, 5, 6, and 7 slide in tracks 14, driven by position-adjusting motors 8, 9, 10, and 11. In a preferred embodiment, motors 8, 9, 10, and 11 only change the positions of spring elements 4, 5, 6, and 7 when the ankle joint is under zero load (for instance, during the part of the walking gait when the foot is not in contact with the ground). Adjustment of spring position under zero load allows position adjustments to be done with minimal energy. This embodiment offers independent inversion/eversion stiffness control as well as independent plantar-flexion and dorsi-flexion control.


A variable stiffness ankle-foot prosthesis embodiment according to the present invention is shown in FIG. 11. Constant-rate spring or damping element 1700 fixedly attached at one end and movably attached at the other end. Attachment point 1701 may be moved in and out with respect to the effective pivot point of the ankle joint. If element 1700 is a damping element, this configuration provides a variable damping ankle joint. If element 1700 is a spring element, this configuration provides a variable spring rate ankle joint. FIGS. 9, 10 and 11 demonstrate how a constant element can be transformed into a variable element according to the present invention, by varying mechanical advantage. In non-catapult preferred embodiments of the present invention, the variation in mechanical advantage takes place such that the motion used to vary the mechanical advantage takes place substantially perpendicular to the force the element being moved is under, thus minimizing the work needed to vary the mechanical advantage.



FIGS. 12
a and 12b depict a multiple-parallel-leaf-spring embodiment of a variable mechanical impedance according to the present invention. Leaf springs 600 are bound together and bound tightly to attaching bracket 602 at one end by bolt 601. At the other end, leaf springs terminate in slidably interlocking blocks 603, which may be locked together dynamically in pairs by interlocking plates 605. Each interlocking plate 605 is permanently bonded to one leaf spring terminator block 603 at surface interface 606, and controllably bindable to a second leaf spring terminator block 604 at a second interface 607, by binding actuator 608. Binding actuator 608 may bind surface interface 607 by any number of means such as mechanical clamp, pin-in-socket, magnetic clamp, etc. Adjacent leaf spring terminator blocks are slidably attached by dovetail slides or the like. The structure shown in FIGS. 12a-c can be used to implement a piecewise-linear spring function such as function 604 depicted in FIG. 12d, by engaging successive interlocks 605 at pre-determined points in spring flexure, and disengaging at like points.


In a preferred embodiment, the slope discontinuities in function 604 may be “smoothed” by coupling successive leaf springs through coupling springs. In FIG. 12d, stop plate 619 is affixed to leaf spring termination 620, and coupling spring 621 is mounted to leaf spring termination 618 through coupling spring mount 622. Leaf spring termination 620 is free to slide with respect to leaf spring termination 618 until coupling spring 621 and stop plate 619 come in contact. Coupling spring 621 acts to smooth the transition from the uncoupled stiffness of two leaf springs to the coupled stiffness of two leaf springs, resulting in smoothed force-displacement function 625 in FIG. 12d.


In a preferred embodiment, coupling spring 621 is itself a stiff, nonlinear spring. In another preferred embodiment, coupling spring 621 may have actively controllable stiffness, and may be made according to any of variable-stiffness spring embodiments of the present invention.



FIG. 12
e depicts a non-linear dissipative coupling mechanism for coupling pairs of spring elements in a multiple-parallel-element spring. Mechanical mounts 609 and 610 affix to a pair of spring elements to be coupled. In a preferred embodiment, one of 609 and 610 is permanently affixed and the other of 609 and 610 is controllably affixed through a mechanism such as 608 described above. Piston 611 is coupled to mount 609 through rod 612 which passes through seal 614. Thus piston 611 may move back and forth in chamber 615 along the axis of rod 612. Chamber 615 is preferably filled with viscose or thixotropic substance 616. A viscose substance can be used in chamber 616 to provide a mechanical coupling force proportional to the square of the differential velocity between mounts 609 and 610. A thixotropic substance (such as a mixture of corn starch and water) can be used to provide an even more nonlinear relationship between coupling force and the differential velocity between coupling plates 609 and 610. Alternately, an electronically controlled variable damping element may be used in series with force sensor 617 between mounts 609 and 610, to provide an arbitrary non-linear dissipative coupling.


Utilizing a nonlinear dissipative coupling between pairs of elements in a multiple-parallel-element spring allows joint spring rates in a prosthetic limb which are a function of velocity. Thus, a joint spring rate can automatically become stiffer when running than it is while walking.


In one preferred embodiment, chamber 615 is rigidly mounted to mount 610. In another preferred embodiment, chamber 615 is mounted to mount 610 through coupling spring 623. In a preferred embodiment, coupling spring 623 may be an actively-controlled variable stiffness spring according to the present invention.



FIG. 13 depicts a multiple-couplable-parallel element pneumatic embodiment of the present invention. Multiple parallel pneumatic chambers 900 couple mounting plates 908 and 909. Pneumatic hoses 902 connect chambers 900 to a common chamber 901 through individually actuatable valves 903. Spring stiffness between plates 908 and 909 is maximized when all valves 903 are closed, and minimized when all valves 903 are open. Additional pneumatic element 905 may be added to transfer power from one prosthetic joint to another.


In an immediate-energy-transfer embodiment of the present invention according to FIG. 13, valves 904 and 906 may be timed to actuate in sequence with valves 903 to transfer power directly from chamber 905 to chambers 900. In a delayed-energy-transfer embodiment of the present invention according to FIG. 13, energy may be transferred from chamber 905 to chambers 900 or vice versa in a delayed manner, by chambers 900 or chamber 905 first pressurizing chamber 901, then isolating chamber 901 by closing valves 903 and 904 for some period of time, then transferring the energy stored in chamber 901 to chambers 900 or 905 by opening the appropriate valves.



FIG. 15
a depicts a prosthetic ankle-foot system known in the art. Ankle spring 1500 is affixed to foot-plate 1501. One variable-stiffness embodiment of the present invention shown in FIG. 15 uses a multiple-parallelly-interlockable-leaf-spring structure such as that shown in FIG. 12 in place of ankle spring 1500. Multiple-parallelly-interlockable-leaf-spring 1600 allows for different spring rates in forward and backward bending, allowing separately controllable rates of controlled plantar-flexion and controlled dorsi-flexion.


In one embodiment of the present invention (shown in FIG. 15b), ankle spring 1500 is split into inner ankle spring 1500a, and outer ankle spring 1500b, and heel spring 1501 is split rearward of attachment point AP into inner heel spring 1501a and outer heel spring 1501b. In a preferred embodiment, ankle springs 1500a and 1500b and heel springs 1501a and 1501b each comprise actively-variable multi-leaf springs such as ankle spring 1600 in FIG. 14. Having separate inner and outer variable-stiffness ankle springs allows for active control of side-to-side stiffness of the prosthetic ankle joint. Having separate inner and outer variable-stiffness heel springs allows for active control medio-lateral ankle stiffness.


A pneumatic embodiment of a variable-stiffness spring for a prosthesis is shown in FIG. 16. Male segment 702 comprises one end of the overall variable-stiffness spring, and female segment 701 comprises the other end. Control electronics 710 are contained in the upper end of male segment 710. Intake valve 715 is actuatable to allow air to enter pressure chamber 708 through air intake channel 716 when pressure chamber 708 is below atmospheric pressure (or an external pump may be used to allow air to enter even when chamber 708 is above atmospheric pressure). Air pressure sensor 709 senses the pressure in pressure chamber 708. Pressure chamber 708 is coupled to second pressure chamber 703 through valve 711. The air in pressure chamber 703 acts as a pneumatic spring in parallel with spring 704. Motor 705 turns ball screw 707 to move piston 706 back and forth to control the volume of pressure chamber 708. Pressure in pressure chamber 703 may be lowered to a desired value by opening valve 703 for a controlled period of time, allowing air to escape through pressure release channel 714.


In one mode of operation, valve 711 is open and pressure chambers 708 and 703 combine to form a single pressure chamber. In this mode, movement of piston 706 directly controls the overall pressure chamber volume, and thus the overall pneumatic spring rate. In another mode of operation, valve 711 is closed, and valve 706 may be opened and piston 706 may withdrawn to add air to the system.


In a preferred embodiment of a variable-stiffness leg prosthesis according to the present invention is implemented through the pneumatic system of FIG. 16, motion of piston 706 occurs under minimal load, such as during the phase of gait when the foot is off the ground, or when the user is standing still.


The pneumatic system shown in FIG. 16 may also be used to implement immediate-release or delayed-release catapult embodiments of the present invention. An immediate-release catapult may be implemented by opening valve 711, and using motor 705 to add power (for instance, during the powered plantar-flexion phase of gait) as the power is needed. In a delayed-release catapult embodiment of the present invention, valves 715 and 711 are closed while motor 705 moves piston 706 to pressurize chamber 708, and then energy stored in chamber 708 is rapidly released during a phase of gait to produce the same effect as powered plantar-flexion.


In a preferred embodiment of the present invention, a pneumatic prosthetic leg element according to FIG. 16 is combined with the multiple controllably-couplable parallel leaf spring prosthetic ankle-foot of FIG. 15 to provide a prosthetic limb which provides powered plantar-flexion, controllable compressional leg spring stiffness, and controllable ankle stiffness during controlled plantar-flexion and controlled dorsi-flexion.


CLAIMS

The foregoing discussion should be understood as illustrative and should not be considered to be limiting in any sense. While this invention has been particularly shown and described with references to preferred embodiments thereof, it will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the claims.

Claims
  • 1. An autonomous motorized powered-catapult device having a mounted end adapted to be attached to a wearer's residual limb and an opposite distal end, said device comprising: a leg prosthesis having an ankle joint;an electromechanical actuator adapted to power the leg prosthesis, comprising: an elastic element configured to store elastic energy, anda motor operatively coupled to the elastic element;a sensor for sensing gait information; anda control system configured to cause the motor to store additional elastic energy in the elastic element as a function of information from the sensor for later release of stored energy from the elastic element to cause ankle powered plantar-flexion of the leg prosthesis thereby providing net positive mechanical work.
  • 2. The device of claim 1, further comprising a clutch adapted to be actuated when the elastic energy is stored in the elastic element and adapted to allow release of the stored energy.
  • 3. The device of claim 2, wherein the control system is configured to cause actuation and release of the clutch.
  • 4. The device of claim 2, wherein the clutch is separate from the actuator.
  • 5. The device of claim 1, wherein the control system is configured to cause the motor to store additional elastic energy in the elastic element and to release the stored energy from the elastic element during a gait cycle.
  • 6. The device of claim 5, wherein the control system is configured to cause the motor to store additional elastic energy in the elastic element at the same time as a natural leg attached to the leg prosthesis stores energy during the gait cycle.
  • 7. The device of claim 1, wherein the control system is configured to cause the motor to store additional elastic energy in the elastic element at the same time that the elastic element stores energy during a gait.
  • 8. The device of claim 1, wherein the elastic element comprises a spring.
  • 9. The device of claim 1, wherein an amount of energy stored in the elastic element by a natural leg attached to the leg prosthesis from compression is different than an amount of energy released from the elastic element to provide the ankle powered plantar-flexion of the leg prosthesis.
  • 10. The device of claim 9, wherein the amount of energy stored in the elastic element by the natural leg attached to the leg prosthesis from compression is less than the amount of energy released from the elastic element to provide the ankle powered plantar-flexion of the leg prosthesis.
  • 11. The device of claim 1, wherein the elastic element comprises a tension band.
  • 12. The device of claim 1, wherein the sensed gait information comprises at least one of joint position, angular velocity and a phase of gait.
  • 13. The device of claim 1, wherein the sensed gait information comprises at least one of angular displacement, linear displacement and force.
  • 14. The device of claim 1, wherein the control system is configured to cause the motor to store additional elastic energy in the elastic element during a swing phase of gait.
  • 15. The device of claim 1, wherein the control system is configured to cause the motor to store additional elastic energy in the elastic element during a minimal-load portion of gait.
  • 16. The device of claim 1, wherein the elastic element comprises at least one end coupled to the motor.
  • 17. The device of claim 1, wherein the elastic element is disposed in parallel with the motor.
  • 18. The device of claim 1, wherein the elastic element couples the mounted end to the distal end.
  • 19. The device of claim 1, wherein the control system is configured to cause the motor to operate in response to at least one of walking speed and ground irregularities.
  • 20. The device of claim 1, wherein the actuator comprises a controllable mechanical impedance.
  • 21. The device of claim 20, wherein the impedance of the actuator is controllable as a function of at least one of joint position, angular velocity and phase of gait.
  • 22. The device of claim 1, wherein the actuator is configured to increase positive mechanical work or stiffness of the leg prosthesis as a function of at least one of locomotory speed and ground irregularities.
  • 23. The device of claim 1, wherein the actuator is configured to increase peak mechanical power output of the leg prosthesis as a function of at least one of joint position, angular velocity and phase of gait.
  • 24. The device of claim 1, wherein the sensor is a force sensor.
  • 25. The device of claim 1, wherein the sensor is a displacement sensor.
CROSS-REFERENCE TO RELATED APPLICATIONS

This application is a continuation of U.S. application Ser. No. 10/613,499, filed on Jul. 3, 2003, which claims priority to U.S. Application Ser. No. 60/395,938, filed on Jul. 15, 2002, and incorporates by reference those applications in their entirety and claims priority thereto.

US Referenced Citations (400)
Number Name Date Kind
2489291 Henschke et al. Nov 1949 A
2529968 Sartin Nov 1950 A
3098645 Owens Jul 1963 A
3207497 Schoonover Sep 1965 A
3844279 Konvalin Oct 1974 A
4442390 Davis Apr 1984 A
4463291 Usry Jul 1984 A
4518307 Bloch May 1985 A
4532462 Washbourn et al. Jul 1985 A
4546295 Wickham et al. Oct 1985 A
4546296 Washbourn et al. Oct 1985 A
4546297 Washbourn et al. Oct 1985 A
4546298 Wickham et al. Oct 1985 A
4569352 Petrofsky et al. Feb 1986 A
4600357 Coules Jul 1986 A
4657470 Clarke et al. Apr 1987 A
4697808 Larson et al. Oct 1987 A
4843921 Kremer Jul 1989 A
4865376 Leaver et al. Sep 1989 A
4872803 Asakawa Oct 1989 A
4909535 Clark et al. Mar 1990 A
4921293 Ruoff et al. May 1990 A
4921393 Andeen et al. May 1990 A
4923474 Klasson et al. May 1990 A
4923475 Gosthnian et al. May 1990 A
4936295 Crane Jun 1990 A
4964402 Grim et al. Oct 1990 A
4989161 Oaki Jan 1991 A
5012591 Asakawa May 1991 A
5049797 Phillips Sep 1991 A
5062673 Mimura Nov 1991 A
5088478 Grim Feb 1992 A
5092902 Adams et al. Mar 1992 A
5112296 Beard et al. May 1992 A
5174168 Takagi et al. Dec 1992 A
5181933 Phillips Jan 1993 A
5252102 Singer et al. Oct 1993 A
5282460 Boldt Feb 1994 A
5294873 Seraji Mar 1994 A
5311109 Ozawa May 1994 A
RE34661 Grim Jul 1994 E
5327790 Levin et al. Jul 1994 A
5330417 Petersen et al. Jul 1994 A
5367790 Gamow et al. Nov 1994 A
5383939 James Jan 1995 A
5405409 Knoth Apr 1995 A
5442270 Tetsuaki Aug 1995 A
5443521 Knoth et al. Aug 1995 A
5456341 Garnjost et al. Oct 1995 A
5458143 Herr Oct 1995 A
5476441 Durfee et al. Dec 1995 A
5502363 Tasch et al. Mar 1996 A
5514185 Phillips May 1996 A
5556422 Powell, III et al. Sep 1996 A
5571205 James Nov 1996 A
5643332 Stein Jul 1997 A
5650704 Pratt et al. Jul 1997 A
5662693 Johnson et al. Sep 1997 A
5701686 Herr et al. Dec 1997 A
5718925 Kristinsson et al. Feb 1998 A
5748845 Labun et al. May 1998 A
5776205 Phillips Jul 1998 A
5885809 Effenberger et al. Mar 1999 A
5888212 Petrofsky et al. Mar 1999 A
5888213 Sears et al. Mar 1999 A
5898948 Kelly et al. May 1999 A
5910720 Williamson et al. Jun 1999 A
5932230 DeGrate Aug 1999 A
5944760 Christensen Aug 1999 A
5971729 Kristinsson et al. Oct 1999 A
5972036 Kristinsson et al. Oct 1999 A
5980435 Joutras et al. Nov 1999 A
6029374 Herr et al. Feb 2000 A
6056712 Grim May 2000 A
6067892 Erickson May 2000 A
6071313 Phillips Jun 2000 A
6095991 Krausman et al. Aug 2000 A
6136039 Kristinsson et al. Oct 2000 A
6144385 Girard Nov 2000 A
6202806 Sandrin et al. Mar 2001 B1
6223648 Erickson May 2001 B1
6240797 Morishima et al. Jun 2001 B1
6267742 Krivosha et al. Jul 2001 B1
6416703 Kristinsson et al. Jul 2002 B1
6443993 Koniuk Sep 2002 B1
6456884 Kenney Sep 2002 B1
6478826 Phillips et al. Nov 2002 B1
6485776 Janusson et al. Nov 2002 B2
6500138 Irby et al. Dec 2002 B1
6507757 Swain et al. Jan 2003 B1
6511512 Phillips et al. Jan 2003 B2
6517503 Naft et al. Feb 2003 B1
6532400 Jacobs Mar 2003 B1
6585774 Dean, Jr. et al. Jul 2003 B2
6589289 Ingimarsson Jul 2003 B2
6592539 Einarsson et al. Jul 2003 B1
6610101 Herr et al. Aug 2003 B2
6626952 Janusson et al. Sep 2003 B2
6645252 Asai et al. Nov 2003 B2
6660042 Curcie et al. Dec 2003 B1
6666796 MacCready, Jr. Dec 2003 B1
6706364 Janusson et al. Mar 2004 B2
6752774 Townsend et al. Jun 2004 B2
6764520 Deffenbaugh et al. Jul 2004 B2
6811571 Phillips Nov 2004 B1
6821233 Colombo et al. Nov 2004 B1
D503480 Ingimundarson et al. Mar 2005 S
D503802 Bjarnason Apr 2005 S
6887279 Phillips et al. May 2005 B2
6923834 Karason Aug 2005 B2
6936073 Karason Aug 2005 B2
6942629 Hepburn et al. Sep 2005 B2
6945947 Ingimundarson et al. Sep 2005 B2
6966882 Horst Nov 2005 B2
6969408 Lecomte et al. Nov 2005 B2
6992455 Kato et al. Jan 2006 B2
7001563 Janusson et al. Feb 2006 B2
7025793 Egilsson Apr 2006 B2
7029500 Martin Apr 2006 B2
7037283 Karason et al. May 2006 B2
D523149 Bjarnason Jun 2006 S
7063727 Phillips et al. Jun 2006 B2
7077818 Ingimundarson et al. Jul 2006 B2
7094058 Einarsson Aug 2006 B2
7094212 Karason et al. Aug 2006 B2
D527825 Ingimundarson et al. Sep 2006 S
D529180 Ingimundarson et al. Sep 2006 S
7101487 Hsu et al. Sep 2006 B2
7105122 Karason Sep 2006 B2
7107180 Karason Sep 2006 B2
7118601 Yasui et al. Oct 2006 B2
7118602 Bjarnason Oct 2006 B2
7136722 Nakamura et al. Nov 2006 B2
D533280 Wyatt et al. Dec 2006 S
7144429 Carstens Dec 2006 B2
7145305 Takenaka et al. Dec 2006 B2
7154017 Sigurjonsson et al. Dec 2006 B2
7161056 Gudnason et al. Jan 2007 B2
7169188 Carstens Jan 2007 B2
7169189 Bjarnason et al. Jan 2007 B2
7169190 Phillips et al. Jan 2007 B2
7190141 Ashrafiuon et al. Mar 2007 B1
7198071 Bisbee, III et al. Apr 2007 B2
7198610 Ingimundarson et al. Apr 2007 B2
7217060 Ingimarsson May 2007 B2
7220889 Sigurjonsson et al. May 2007 B2
7223899 Sigurjonsson May 2007 B2
7227050 Sigurjonsson et al. Jun 2007 B2
7230154 Sigurjonsson Jun 2007 B2
7235108 Carstens Jun 2007 B2
7240876 Doubleday et al. Jul 2007 B2
7266910 Ingimundarson Sep 2007 B2
7270644 Ingimundarson Sep 2007 B2
7278954 Kawai et al. Oct 2007 B2
7279009 Herr et al. Oct 2007 B2
7288076 Grim et al. Oct 2007 B2
7295892 Herr et al. Nov 2007 B2
RE39961 Petrofsky et al. Dec 2007 E
7303538 Grim et al. Dec 2007 B2
7304202 Sigurjonsson et al. Dec 2007 B2
7311686 Iglesias et al. Dec 2007 B1
7313463 Herr et al. Dec 2007 B2
D558884 Ingimundarson et al. Jan 2008 S
7335233 Hsu et al. Feb 2008 B2
7347877 Clausen et al. Mar 2008 B2
D567072 Ingimundarson et al. Apr 2008 S
7371262 Lecomte et al. May 2008 B2
7377944 Janusson et al. May 2008 B2
RE40363 Grim et al. Jun 2008 E
7381860 Gudnason et al. Jun 2008 B2
7390309 Dariush Jun 2008 B2
7393364 Martin Jul 2008 B2
7396975 Sigurjonsson et al. Jul 2008 B2
7402721 Sigurjonsson et al. Jul 2008 B2
7411109 Sigurjonsson et al. Aug 2008 B2
D576781 Chang et al. Sep 2008 S
D577828 Ingimundarson et al. Sep 2008 S
7423193 Sigurjonsson et al. Sep 2008 B2
7427297 Patterson et al. Sep 2008 B2
7429253 Shimada et al. Sep 2008 B2
7431708 Sreeramagiri Oct 2008 B2
7431737 Ragnarsdottir et al. Oct 2008 B2
7438843 Asgeirsson Oct 2008 B2
7449005 Pickering et al. Nov 2008 B2
7455696 Bisbee, III et al. Nov 2008 B2
D583956 Chang et al. Dec 2008 S
7459598 Sigurjonsson et al. Dec 2008 B2
7465281 Grim et al. Dec 2008 B2
7465283 Grim et al. Dec 2008 B2
7468471 Sigurjonsson et al. Dec 2008 B2
7470830 Sigurjonsson et al. Dec 2008 B2
7488349 Einarsson Feb 2009 B2
7488864 Sigurjonsson et al. Feb 2009 B2
D588753 Ingimundarson et al. Mar 2009 S
7503937 Asgeirsson et al. Mar 2009 B2
7513880 Ingimundarson et al. Apr 2009 B2
7513881 Grim et al. Apr 2009 B1
D592755 Chang et al. May 2009 S
D592756 Chang et al. May 2009 S
7527253 Sugar et al. May 2009 B2
7531006 Clausen et al. May 2009 B2
7531711 Sigurjonsson et al. May 2009 B2
7534220 Cormier et al. May 2009 B2
7544214 Gramnas Jun 2009 B2
7549970 Tweardy Jun 2009 B2
D596301 Campos et al. Jul 2009 S
7578799 Thorsteinsson et al. Aug 2009 B2
7581454 Clausen et al. Sep 2009 B2
7597672 Kruijsen et al. Oct 2009 B2
7597674 Hu et al. Oct 2009 B2
7597675 Ingimundarson et al. Oct 2009 B2
7618463 Oddsson et al. Nov 2009 B2
7628766 Kazerooni et al. Dec 2009 B1
7632315 Egilsson Dec 2009 B2
7637957 Ragnarsdottir et al. Dec 2009 B2
7637959 Clausen et al. Dec 2009 B2
7641700 Yasui Jan 2010 B2
7650204 Dariush Jan 2010 B2
7662191 Asgeirsson Feb 2010 B2
D611322 Robertson Mar 2010 S
7674212 Kruijsen et al. Mar 2010 B2
7691154 Asgeirsson et al. Apr 2010 B2
7696400 Sigurjonsson et al. Apr 2010 B2
7704218 Einarsson et al. Apr 2010 B2
D616555 Thorgilsdottir et al. May 2010 S
D616556 Hu May 2010 S
7713225 Ingimundarson et al. May 2010 B2
D616996 Thorgilsdottir et al. Jun 2010 S
D616997 Thorgilsdottir et al. Jun 2010 S
D618359 Einarsson Jun 2010 S
7727174 Chang et al. Jun 2010 B2
7736394 Bedard et al. Jun 2010 B2
7745682 Sigurjonsson et al. Jun 2010 B2
D620124 Einarsson Jul 2010 S
7749183 Ingimundarson et al. Jul 2010 B2
7749281 Egilsson Jul 2010 B2
7762973 Einarsson et al. Jul 2010 B2
7770842 Benson Aug 2010 B2
7771488 Asgeirsson et al. Aug 2010 B2
7780741 Janusson et al. Aug 2010 B2
7794418 Ingimundarson et al. Sep 2010 B2
7794505 Clausen et al. Sep 2010 B2
7811333 Jonsson et al. Oct 2010 B2
7811334 Ragnarsdottir et al. Oct 2010 B2
D627079 Robertson Nov 2010 S
7833181 Cormier et al. Nov 2010 B2
7842848 Janusson et al. Nov 2010 B2
D628696 Robertson Dec 2010 S
D629115 Robertson Dec 2010 S
7846213 Lecomte et al. Dec 2010 B2
7862620 Clausen et al. Jan 2011 B2
7863797 Calley Jan 2011 B2
7867182 Iglesias et al. Jan 2011 B2
7867284 Bedard Jan 2011 B2
7867285 Clausen et al. Jan 2011 B2
7867286 Einarsson Jan 2011 B2
7868511 Calley Jan 2011 B2
7874223 Sugar et al. Jan 2011 B2
7879110 Phillips Feb 2011 B2
7891258 Clausen et al. Feb 2011 B2
7892195 Grim et al. Feb 2011 B2
D634438 Hu Mar 2011 S
D634852 Hu Mar 2011 S
7896826 Hu et al. Mar 2011 B2
7896827 Ingimundarson et al. Mar 2011 B2
7896927 Clausen et al. Mar 2011 B2
7909884 Egilsson et al. Mar 2011 B2
7910793 Sigurjonsson et al. Mar 2011 B2
7914475 Wyatt et al. Mar 2011 B2
7918765 Kruijsen et al. Apr 2011 B2
D637942 Lee et al. May 2011 S
7935068 Einarsson May 2011 B2
D640380 Tweardy et al. Jun 2011 S
D640381 Tweardy et al. Jun 2011 S
7955398 Bedard et al. Jun 2011 B2
7959589 Sreeramagiri et al. Jun 2011 B2
D641482 Robertson et al. Jul 2011 S
D641483 Robertson et al. Jul 2011 S
7981068 Thorgilsdottir et al. Jul 2011 B2
7985193 Thorsteinsson et al. Jul 2011 B2
7985265 Moser et al. Jul 2011 B2
D643537 Lee Aug 2011 S
7992849 Sugar et al. Aug 2011 B2
7998221 Lecomte et al. Aug 2011 B2
8002724 Hu et al. Aug 2011 B2
8007544 Jonsson et al. Aug 2011 B2
8016781 Ingimundarson et al. Sep 2011 B2
8021317 Arnold et al. Sep 2011 B2
8025632 Einarsson Sep 2011 B2
8025699 Lecomte et al. Sep 2011 B2
8026406 Janusson et al. Sep 2011 B2
D646394 Tweardy et al. Oct 2011 S
D647622 Lee et al. Oct 2011 S
D647623 Thorgilsdottir et al. Oct 2011 S
D647624 Thorgilsdottir et al. Oct 2011 S
8034120 Egilsson et al. Oct 2011 B2
8038636 Thorgilsdottir et al. Oct 2011 B2
8043244 Einarsson et al. Oct 2011 B2
8043245 Campos et al. Oct 2011 B2
8048007 Roy Nov 2011 B2
8048013 Ingimundarson et al. Nov 2011 B2
8048172 Jonsson et al. Nov 2011 B2
8052760 Egilsson et al. Nov 2011 B2
8057550 Clausen et al. Nov 2011 B2
8075633 Herr et al. Dec 2011 B2
8142370 Weinberg et al. Mar 2012 B2
8181520 Kadota et al. May 2012 B2
8202325 Albrecht-Laatsch et al. Jun 2012 B2
8287477 Herr et al. Oct 2012 B1
8419804 Herr et al. Apr 2013 B2
20010029400 Deffenbaugh et al. Oct 2001 A1
20020052663 Herr et al. May 2002 A1
20020092724 Koleda Jul 2002 A1
20020138153 Koniuk Sep 2002 A1
20030093021 Goffer May 2003 A1
20030125814 Paasivaara et al. Jul 2003 A1
20030139783 Kilgore et al. Jul 2003 A1
20030163206 Yasui et al. Aug 2003 A1
20030195439 Caselnova Oct 2003 A1
20040039454 Herr et al. Feb 2004 A1
20040049290 Bedard Mar 2004 A1
20040054423 Martin Mar 2004 A1
20040064195 Herr Apr 2004 A1
20040083528 Stewart et al. May 2004 A1
20040088025 Gesotti May 2004 A1
20040181118 Kochamba Sep 2004 A1
20040181289 Bedard et al. Sep 2004 A1
20040255711 Takenaka et al. Dec 2004 A1
20040261561 Takenaka et al. Dec 2004 A1
20050007834 Hidaka Jan 2005 A1
20050043614 Huizenga et al. Feb 2005 A1
20050049652 Tong Mar 2005 A1
20050059908 Bogert Mar 2005 A1
20050070834 Herr et al. Mar 2005 A1
20050085948 Herr et al. Apr 2005 A1
20050155444 Otaki et al. Jul 2005 A1
20050179417 Takenaka et al. Aug 2005 A1
20050197717 Ragnarsdottir et al. Sep 2005 A1
20050209707 Phillips et al. Sep 2005 A1
20050228515 Musallam et al. Oct 2005 A1
20060004299 Endo et al. Jan 2006 A1
20060004307 Horst Jan 2006 A1
20060055358 Ogawa et al. Mar 2006 A1
20060064047 Shimada et al. Mar 2006 A1
20060069448 Yasui Mar 2006 A1
20060094989 Scott et al. May 2006 A1
20060135883 Jonsson Jun 2006 A1
20060173552 Roy Aug 2006 A1
20060211956 Sankai Sep 2006 A1
20060213305 Sugar et al. Sep 2006 A1
20060214621 Ogawa et al. Sep 2006 A1
20060224246 Clausen et al. Oct 2006 A1
20060249315 Herr et al. Nov 2006 A1
20060258967 Fujil et al. Nov 2006 A1
20060264790 Kruijsen et al. Nov 2006 A1
20060276728 Ashihara et al. Dec 2006 A1
20070016329 Herr et al. Jan 2007 A1
20070043449 Herr et al. Feb 2007 A1
20070050044 Haynes et al. Mar 2007 A1
20070123997 Herr et al. May 2007 A1
20070129653 Sugar et al. Jun 2007 A1
20070145930 Zaier Jun 2007 A1
20070156252 Jonsson et al. Jul 2007 A1
20070162152 Herr et al. Jul 2007 A1
20070233279 Kazerooni et al. Oct 2007 A1
20070267791 Hollander et al. Nov 2007 A1
20080039756 Thorsteinsson et al. Feb 2008 A1
20080114272 Herr et al. May 2008 A1
20080155444 Pannese et al. Jun 2008 A1
20080161937 Sankai Jul 2008 A1
20080234608 Sankai Sep 2008 A1
20090030530 Martin Jan 2009 A1
20090171469 Thorsteinsson et al. Jul 2009 A1
20090192619 Martin et al. Jul 2009 A1
20090222105 Clausen Sep 2009 A1
20100004860 Chernoguz et al. Jan 2010 A1
20100025409 Hunter Feb 2010 A1
20100094188 Goffer et al. Apr 2010 A1
20100113980 Herr et al. May 2010 A1
20100114329 Casler et al. May 2010 A1
20100174384 Herr et al. Jul 2010 A1
20100174385 Casler et al. Jul 2010 A1
20100179668 Herr et al. Jul 2010 A1
20100312363 Herr et al. Dec 2010 A1
20110082566 Herr et al. Apr 2011 A1
20110105966 Kazerooni et al. May 2011 A1
20110224804 Clausen et al. Sep 2011 A1
20110245931 Clausen et al. Oct 2011 A1
20110257764 Herr et al. Oct 2011 A1
20110260380 Hollander et al. Oct 2011 A1
20110264230 Herr et al. Oct 2011 A1
20110278857 Sugar et al. Nov 2011 A1
20110295384 Herr et al. Dec 2011 A1
20110295385 Herr et al. Dec 2011 A1
20120209405 Herr et al. Aug 2012 A1
20120259429 Han et al. Oct 2012 A1
20120259430 Han et al. Oct 2012 A1
20120259431 Han et al. Oct 2012 A1
20120271433 Galea et al. Oct 2012 A1
20120283845 Herr et al. Nov 2012 A1
Foreign Referenced Citations (15)
Number Date Country
1393866 Mar 2004 EP
1 408 892 Apr 2004 EP
1 534 117 Jun 2005 EP
2005-000500 Jan 2005 JP
WO9409727 May 1994 WO
WO-03068453 Aug 2003 WO
WO-2004017872 Mar 2004 WO
WO-2004019832 Mar 2004 WO
WO 2006110895 Oct 2006 WO
WO 2007025116 Mar 2007 WO
WO 2009082249 Jul 2009 WO
WO 2010025403 Mar 2010 WO
WO 2010025409 Mar 2010 WO
WO-2010027968 Mar 2010 WO
WO 2011005482 Jan 2011 WO
Non-Patent Literature Citations (285)
Entry
Blaya, J.A., “Force-Controllable Ankle Foot Orthosis (AFO) to Assist Drop Foot Gait,” submitted to the Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts (Feb. 2003). 88 pages.
Dollar, et al., “Lower Extremity Exoskeletions and Active Orthoses: Challenges and State-of-the-Art,” IEEE Transcations on Robotics, vol. 24, No. 1, Feb. 2008, 15 pages.
Hogan, N., “Impedance Control: An Approach to Manipulation,” Dept. of Mechanical Engineering and Labortory of Manufacturing and Productivity, Massachusetts Institute of Technology, Cambridge MA, pp. 304-313, (Jun. 1984).
Hogan, N., “Impedance Control: An Approach to Manipulation: Part II—Implementation,” Journal of Dynamic Systems, Measurement , and Control, 107:8-16, (1985).
Hogan, N., Impedance Control: An Approach to Manipulation: Part III—Application, Journal of Dynamics Systems, Measurement, and Control, 107:17-24, (1985).
Kim, et al., “Realization of Dynamic Walking for the Humaniod Robot Platform KHR-1,” Advanced Robotics, vol. 18, No. 7, pp. 749-768, (2004).
Klute et al., “Powering Lower Limb Prosthestics with Muscle-Like Actuators,” Abstract in: Proceeding of the 1st Annual Meeting of the VA Rehabilitation Research and Development Service, “Enabling Veterans: Meeting the Challenge of Rehabilitation in the Next Millennium,” Washington, D.C., Oct. 1-3, 1998, p. 52.
Klute, et al., “Artificial Muscles: Actuators for Biorobotic Systems,” The International Journal of Robotics Research, vol. 21, No. 4, Apr. 2002, pp. 295-309.
Klute, et al., Artificial Muscles: Actuators for Lower Limb Prostheses, Abstract in: Proceedings of the 2nd Annual Meeting of the VA rehabilitation Research and Development Service, Feb. 20-22, 2000, p. 107.
Klute, et al., “Artificial Tendons: Biomechanical Design Properties for Prosthetic Lower Limbs,” Chicago 2000 World Congress on Medical Physics and Biomedical Engineering, Chicago on Jul. 24-28, 2000, 4 pages.
Klute, et al., Intelligent Transtibial Prostheses with Muscle-Like Actuators,: 2002 American Physiological Society Intersociety Meeting: The Power of Comparative Physiology: Evolution, Integration, and Applied, 1 page.
Klute, et al., “Lower Limb Prostheses Powered by Muscle-Like Pneumatic Actuator,” Submitted to Oleodinamica e Pneumatica, Publishe Tecniche Nuove, Milamo, Italy, Mar. 15, 2000, 6 pages.
Klute, et al., “McKibben Artificial Muscles: Pneumatic Actuators with Biomechanical Intelligence,” IEEE/ASME 1999 Inernational Conference on Advanced Intelligent Mechatronics, Atlanta, GA, Sep. 19-22, 1999, pp. 221-226.
Klute, et al., “Muscle-Like Pneumatic Actuators for Below-Knee Prostheses,” Actuator2000:7th International Conference on New Actuators, Bremen, Germany on Jun. 9-21, 2000, pp. 289-292.
International Search Report and Written Opinion for PCT/US2009/055600 mailed Apr. 29, 2010 (23 pages).
International Search Report and Written Opinion for PCT/US2010/047279 mailed Jan. 19, 2011 (11 pages).
International Search Report and Written Opinion for PCT/US2011/031105 mailed Oct. 11, 2011 (16 pages).
Abbas J. and Chizeck H., “Neural Network Control of Functional Neuromuscular Stimulation Systems: Computer Simulation Studies,” IEEE Transactions on Biomedical Engineering, vol. 42, No. 1, Nov. 1995, pp. 1117-1127.
Abul-haj, C. and Hogan, N., “Functional assessment of control systems for cybernetic elbow prostheses. Part I, Part II,” IEEE Transactions on Biomedical Engineering, vol. 37, No. 11, Nov. 1990, Cambridge, MA, pp. 1025-1047.
Akazawa, K., et. al, “Biomimetic EMG prosthesis-hand,” Proceedings of the 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, vol. 2, Oct. 1996, Amsterdam, Netherlands, pp. 535-536.
Aminian, “Estimation of Speed and Incline of Walking Using Neural Network,” IEEE Transactions on Biomedical Engineering, vol. 44, No. 3, Jun. 1995, pp. 743-746.
Anderson, F. and Pandy M., “Dynamic optimization of human walking,” Journal of Biomechanical Engineering, vol. 123, Oct. 2001, pp. 381-390.
Andrews, et al., “Hybrid FES Orthosis incorporating closed loop control and sensory feedback,” J. Biomed Eng., vol. 10, Apr. 1988, pp. 189-195.
Arakawa, T. and Fukuda, T., “Natural motion generation of biped locomotion robot using hierarchical trajectory generation method consisting of GA, EP layers,” Proceedings of the 1997 IEEE International Conference on Robotics and Automation, Apr. 1997, Albuquerque, NM, pp. 211-216.
Au., et. al., “Powered Ankle-Foot Prosthesis for the Improvement of Amputee Ambulation,” Proceedings of the 29th Annual International Conference of the IEEE, Aug. 2007, Lyon, France, pp. 3020-3026.
Au, S. and Herr H., “Initial experimental study on dynamic interaction between an amputee and a powered ankle-foot prosthesis,” Workshop on Dynamic Walking: Mechanics and Control of Human and Robot Locomotion, May 2006, Ann Arbor, MI, p. 1.
Au, S., et al. “An ankle-foot emulation system for the study of human walking biomechanics,” Proc. of the 2006 IEEE Int. Conf. on Robotics and Automation, May 2006, Orlando, FL, pp. 2939-2945.
Au, S., et. al., “Biomechanical design of a powered ankle-foot prosthesis,” Proc. of the 2007 IEEE Int. Conf. on Rehabilitation Robotics, Jun. 2007, Noordwijk, Netherlands, pp. 298-303.
Au, S., et. al., “Powered ankle-foot prosthesis to assist level-ground and stair-descent gaits,” Neural Networks, vol. 21, No. 4, Mar. 2008, pp. 654-666.
Au, S., “An EMG-position controlled system for an active ankle-foot prosthesis: an initial experimental study,” Proc. of the 2006 IEEE International Conference on Rehabilitation Robotics, Jul. 2005, Chicago, IL, pp. 375-379.
Au, S., et. al., “Powered Ankle-foot Prosthesis Improves Walking Metabolic Economy,” IEEE Trans. on Robotics, vol. 25, No. 1, Feb. 2009, pp. 51-66.
Barth, D.., et. al., “Gait analysis and energy cost of below-knee amputees wearing six different prosthetic feet,” Journal of Prosthetics & Orthotics, vol. 4, No. 2, Winter, 1992, pp. 63-75.
Baten, et al., “Inertial Sensing in Ambulatory back load Estimation,” 18 Annual International Conferences of IEEE Engineering in Medicine and Biology Society, Amsterdam 1996, pp. 497-498.
Bateni, H. and Olney S., “Kinematic and kinetic variations of below-knee amputee gait,” Journal of Prosthetics & Orthotics, vol. 14, No. 1, Mar. 2002, pp. 2-13.
Blaya, J. and Herr, H, “Adaptive control of a variable-impedance ankle-foot orthosis to assist drop-foot gait,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 12, No. 1, Mar. 2004, pp. 24-31.
Blickhan, R., “The spring-mass model for running and hopping,” J of Biomech. 22, Feb. 1989, Great Britain, pp. 1217-1227.
Bortz, “A New Mathematical Formulation for Strapdown Inertial Navigation,” IEEE Transactions of Aerospace and Electronic Systems, vol. AES-7, No. 1, Jan. 1971, p. 61-66.
Brockway, J., “Derivation of formulae used to calculate energy expenditure in man,” Human Nutrition Clinical Nutrition, vol. 41, Nov. 1987, pp. 463-471.
Brown, R., “On the nature of the fundamental activity of the nervous centres: together with an analysis of the conditioning of rhythmic activity in progression, and a theory of the evolution of function in the nervous system,” J Physiol, vol. 48, No. 1, Mar. 1914, pp. 18-46.
Chang, et al., Ischemic Colitis and Complications of Constipation Associated with the use of Alosetron Under a Risk Management Plan: Clinical Characteristics, Outcomes, and Incidences The Americal Journal of Gastronenterology, vol. 105, No. 4, Apr. 2010, pp. 866-875.
Chu, A., Kazerooni, H. And Zoss, A., “On the Biomimetic Design of the Berkeley Lower Extremity Exoskeleton (BLEEX),” Proceedings of the 2005 IEEE International Conference on Robotics and Automation, Apr. 2005, Barcelona, Spain, pp. 4356-4363.
Colborne, G. R., S. Naumann, P. E. Longmuir, and D. Berbrayer, “Analysis of mechanical and metabolic factors in the gait of congenital below knee amputees,” Am. J. Phys. Med. Rehabil., vol. 92, pp. 272-278, Oct. 1992.
Collins, et al., “Supporting Online Material for Efficient bipedal robots based on passive-dynamic walkers,” Mechanical Engineering, University of Michigan, Feb. 2005, Ann Arbor, MI, pp. 1-8.
Collins, et al., “Controlled Energy Storage and Return Prosthesis Reduces Metabolic cost of Walking,” ASB 29th Annual Meeting, Cleveland, Ohio, Jul. 31-Aug. 5, 2005, 1 page.
Crago P., et. al., “New Control Strategies for neuroprosthetic systems,” Journal of Rehabilitation Research and Development, vol. 33, No. 2, Apr. 1996, pp. 158-172.
Daley, M. A., Felix, G., Biewener, A. A., 2007. Running stability is enhanced by a proximo-distal gradient in joint neuromechanical control. J Exp Biol 210 (Pt 3), Nov. 2006, pp. 383-394.
Dapena, J. and McDonald, C., “Three-dimensional analysis of angular momentum in the hammer throw,” Med. Sci. in Sports Exerc., vol. 21, No. 2, Apr. 1989, pp. 206-220.
Dietz, V., “Proprioception and locomotor disorders,” Nat Rev Neurosci, vol. 3, Oct. 2002, pp. 781-790.
Dietz, V., “Spinal Cord Pattern Generators for Locomotion,” download Feb. 6, 2012, http://www.Clinph-journal.com/article/PIIS1388245703001202/fulltext, 12 pages.
Doerschuk, et. al., “Upper extremity limb function discrimination using EMG signal analysis,” IEEE Transactions on Biomedical Engineering. vol. 30., No. 1., Jan. 1983, pp. 18-28.
Doke, J., et. al., “Mechanics and energetics of swinging the human leg,” The Journal of Experimental Biology, vol. 208, Feb. 2005, pp. 439-445.
Donelan, J., et. al., “Force regulation of ankle extensor muscle activity in freely walking cats,” J Neurophysiol, vol. 101, No. 1, Nov. 2008, pp. 360-371.
Donelan, J., et. al., “Mechanical work for step-to-step transitions is a major determinant of the metabolic cost of human walking,” J. Exp. Biol., vol. 205, Dec. 2002, pp. 3717-3727.
Donelan, J., et. al. “Simultaneous positive and negative external mechanical work in human walking,” Journal of Biomechanics, vol. 35, Jan. 2002, pp. 117-124.
Drake, C., “Ankle & Foot Splints or Orthoses,” HemiHelp, Information Sheet 13 Last updated Jun. 2009, 5 pages.
Drake, C., “Ankle & Foot Splints or Orthoses (AFOs),” HemiHelp, Last updated Jun. 2009, 8 pages.
Drake, C., “Foot & Ankle Splints or Orthoses,” HemiHelp Information Sheet, London, United Kingdom, www.hemihelp.org.uk/leaflets/hbleaflets90.htm, pp. 1-3.
Eilenberg, M., “A Neuromuscular-Model Based Control Strategy for Powered Ankle-Foot Prostheses,” Masters Thesis, Massachusetts Institute of Technology, Cambridge, Mass., 2009.
Ekeberg, O. and Grillner, S., “Simulations of neuromuscular control in lamprey swimming,” Philos Trans R Soc Lond B Biol Sci, vol. 354, May 1999, pp. 895-902.
Ekeberg, O. and Pearson, K., “Computer simulation of stepping in the hind legs of the cat: an examination of mechanisms regulating the stance-to-swing transition,” J Neurophysiol, vol. 94, No. 6, Jul. 2005, pp. 4256-4268.
Endo, K., et. al., “A quasi-passive model of human leg function in level-ground walking,” Proc. of 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Oct. 2006, Beijing, China, pp. 4935-4939.
Eppinger, S. Seering W., “Three dynamic problems in robot force control,” IEEE Transactions on Robotics and Automation, vol. 8, No. 6, Dec. 1992, pp. 751-758.
Esquenazi, A. and DiGiacomo, R., “Rehabilitation After Amputation,” Journ Am Podiatr Med Assoc, vol. 91, No. 1, Jan. 2001, pp. 13-22.
Farley, C. and McMahon, T., “Energetics of walking and running: insights from simulated reduced-gravity experiments,” The American Physiological Society, Dec. 1992, pp. 2709-2712.
Farry, K. A., et al., “Myoelectric teleoperation of a complex robotic hand,” IEEE Transactions on Robotics and Automation. vol. 12, No. 5, Oct. 1996, pp. 775-788.
Featherstone, R., 1987, “Robot Dynamic Algorithms”, Boston, Mass., Kluwer Academic Publishers, pp. 155-172.
Fite, K., et. al., “Design and Control of an Electrically Powered Knee Prosthesis,” Proc. of 2007 IEEE 10th International Conference on Rehabilitation Robotics (ICORR), Jun. 2007, pp. 902-905.
Flowers, W. “A Man-Interactive Simulator System for Above-Knee Prosthetic Studies,” Ph.D. thesis, Massachusetts of Institute Technology, Department of Mechanical Engineering. Jul. 10, 1973.
Fod, A., et. al., “Automated Derivation of Primitives for Movements Classification,” Autonomous Robots, vol. 12, No. 1, Jan. 2002, pp. 39-54.
Frigon, A. and Rossignol, S., “Experiments and models of sensorimotor interactions during locomotion,” Biol Cybern, vol. 95, No. 6, Nov. 2006, pp. 607-627.
Fujita K, et. al., “Joint angle control with command filter for human ankle movement using functional electrical stimulation,” Proc. of IEEE Ninth Annual Conference for the Engineering in Medicine and Biology Society, Nov. 1987, Boston, MA, pp. 1719-1720.
Fukuda, O. et al., “A human-assisting manipulator teleoperated by EMG signals and arm motions,” IEEE Transactions on Robotics and Automation. vol. 19, No. 2, Apr. 2003, pp. 210-222.
Gates, D., “Characterizing ankle function during stair ascent, descent, and level walking for ankle prosthesis and orthosis design,” Master's thesis, Boston University, 2004, pp. 1-82.
Geiritsen, K., et. al., “Direct dynamics simulation of the impact phase in heel-toe running,” J. Biomech., vol. 28, No. 6, Jun. 1995, Great Britain, pp. 661-668.
Geyer, H., et. al., “Positive force feedback in bouncing gaits?,” Proceedings of Royal Society B-Biological Sciences, vol. 270, No. 1529, Aug. 2003, pp. 2173-2183.
Geyer, H. and Herr H., “A muscle-reflex model that encodes principles of legged mechanics predicts human walking dynamics and muscle activities,” IEEE Transactions on Neural Systems and Rehabilitations Engineering, vol. 18, No. 3, Jun. 2010, pp. 263-273.
Geyer, H., et. al., “Compliant leg behaviour explains the basic dynamics of walking and running,” Proc. R. Soc. Cond. B 273, Aug. 2006, pp. 2861-2867.
Ghigliazza, R., et. al., “A simply stabilized running model,” SIAM J. Applied. Dynamical Systems, vol. 2, No. 2, May 2004, pp. 187-218.
Godha, el al., “Integrated GPS/INS System for Pedestrian Navigation in a Signal Degraded Environment,” ION GNSS, Sep. 2006, Fort Worth, TX, pp. 1-14.
Goswami, A., “Postural stability of biped robots and the foot-rotation indicator (FRI) point,” International Journal of Robotics Research, vol. 18, No. 6, Jun. 1999, pp. 523-533.
Goswami, A. and Kallem, V., “Rate of change of angular momentum and balance maintenance of biped robots,” Proceedings of the 2004 IEEE International Conference on Robotics and Automation, Apr. 2004, New Orleans, La., pp. 3785-3790.
Graupe, D., et al., “A microprocessor system for multifunctional control of upper-limb prostheses via myoelectric signal identification,” IEEE Transaction on Automatic Control. vol. AC-23, vol. 4, Aug. 1978, pp. 538-544.
Gregoire, L., and et al, “Role of mono- and bi-articular muscles in explosive movements,” International Journal of Sports Medicine 5, 614-630. Dec. 1984.
Grillner, S. and Zangger, P., “On the central generation of locomotion in the low spinal cat,” Exp Brain Res, vol. 34, No. 2, Jan. 1979, pp. 241-261.
Grimes, D. L., “An active multi-mode above-knee prosthesis controller,” Ph.D. Thesis, Massachusetts Institute of Technology, Jul. 20, 1979.
Gu, W., “The Regulation of Angular Momentum During Human Walking,” Undergraduate Thesis, Massachusetts Institute of Technology, Physics Department, Jun. 2003, pp. 2-48.
Gunther, M., et. al., “Human leg design: optimal axial alignment under constraints,” J. Math. Biol., vol. 48, Mar. 2004, pp. 623-646.
Gunther, M. and Ruder, H., “Synthesis of two-dimensional human walking: a test of the A-model,” Biol. Cybern., vol. 89, May 2003, pp. 89-106.
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.
Hansen, A. H., Childress, D. S., Miff, S. C., Gard, S. A., Mesplay, K. P., “The human ankle during walking: implication for the design of biomimetic ankle prosthesis,” Journal of Biomechanics, vol. 37, No. 10, Oct. 2004, pp. 1467-1474.
Hayes et al., “Leg Motion Analysis During Gait by Multiaxial Accelerometry: Theoretical Foundations and Preliminary Validations,” Journal of Biomechanical Engineering, vol. 105, Aug. 1983, pp. 283-289.
Heglund, N., “A Simple Design for a Force-Plat to Measure Ground Reaction Forces,” J. Exp. Biol., vol. 93, Aug. 1981, pp. 333-338.
Herr, H., et. al, “A model of scale effects in mammalian quadrupedal running,” J Exp Biol 205 (Pt 7), Apr. 2002, pp. 959-967.
Herr, H. and Wilkenfeld A., “User-adaptive control of a magnetorheologicalprosthetic knee,” Industrial Robot: An International Journal, vol. 30, No. 1, 2003, pp. 42-55.
Herr, H. and Popovic, M., “Angular momentum regulation in human walking,” J. Exp. Biol., vol. 211, Feb. 2008, pp. 467-481.
Herr, H. and McMahon, T.,“A trotting horse model,” Int. J. Robotics Res., vol. 19, No. 6, Jun. 2000, pp. 566-581.
Heyn et al., “The Kinematice of the Swing Phase Obtained from Accelerometer and Gyroscope Measurements,” 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Nov. 1996, Amsterdam, Netherlands, pp. 463-464.
Hill, V., “The heat of shortening and the dynamic constants of muscle,” Proceedings of the Royal Society London B, vol. 126, No. 843, Oct. 1938, pp. 136-195.
Hirai, K., et al., “The development of Honda humanoid robot,” Proceedings on IEEE/RSJ International Conference on Intelligent Robots and Systems, May 1998, Leuven, Belgium, pp. 1321-1326.
Hitt, J., R. Bellman, M. Holgate, T. Sugar, and K. Hollander, “The sparky (spring ankle with regenerative kinetics) projects: Design and analysis of a robotic transtibial prosthesis with regenerative kinetics,” in Proc. IEEE Int. Conf. Robot. Autom., Orlando, Fla., pp. 2939-2945, Sep. 2007.
Hof. A., et. al., “Calf muscle moment, work and efficiency in level walking; role of series elasticity,” Journal of Biomechanics, vol. 16, No. 7, Sep. 1983, pp. 523-537.
Hofbaur, M. and Williams, B., “Hybrid Diagnosis with Unknown Behavioral Modes”, Proceedings of the 13.sup.th International Workshop on Principles of Diagnosis (DX02), May 2002, pp. 1-10.
Hofbaur, M. and Williams, B., “Mode Estimation of Probabilistic Hybrid Systems”, HSSC 2002, LNCS 2289, Mar. 25, 2002, pp. 253-266.
Hofmann, A., et. al., “A Sliding Controller for Bipedal Balancing Using Integrated Movement of Contact and Non-Contact Limbs,” Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, Sep. 2004, Sendai, Japan, pp. 1952-1959.
Hofmann, A., et. al., “Robust Execution of Bipedal Walking Tasks from Biomechanical Principles,” Doctor of Philosophy at the Massachusetts Institute of Technology, Jan. 2006, 407 pages.
Hogan, N. (1976) A review of the methods of processing EMG for use as a proportional control signal. Biomedical Engineering. pp. 81-86.
Hogan, N., “Impedance Control: An Approach to Manipulation: Part I—Theory, ” Journal of Dynamic Systems, Measurement , and Control, vol. 107, Mar. 1985, pp. 1-7.
Hollander, K. W., T. G. Sugar, and D. E. Herring, “Adjustable robotic tendon using a ‘Jack Spring’.TM.,” Proceedings on IEEE International Conference on Rehabilitation Robotics, Chicago, pp. 113-118, Jun. 28, 2005.
Howard, “Joint and Actuator Design for Enhanced Stability in Robotic Force Control,” Ph.D. thesis, Massachusetts Inst. of Technology, Dept. of Aeronautics and Astronautics, Sep. 19, 1990.
Huang, H. and Chen. C., “Development of a myoelectric discrimination system for a multi-degree prosthetic hand,” Proceeding of the 1999 IEEE International Conference on Robotics and Automation, May 1999, Detroit, MI, pp. 2392-2397.
Huang, Q., “Planning walking patterns for a biped robot,” IEEE Transactions on Robotics and Automation, vol. 17, No. 3, Jun. 2001, pp. 280-289.
Hultborn, H., Spinal reflexes, mechanisms and concepts: from Eccles to Lundberg and beyond, Prog Neurobiol, vol. 78, Feb. 2006, pp. 215-232.
Ijspeert, A. J., 2008, “Central pattern generators for locomotion control in animals and robots: a review,” Neural Netw, vol. 21, No. 4, May 2008, pp. 642-653.
Ijspeert, A., et. al., “From swimming to walking with a salamander robot driven by a spinal cord model,” Science, vol. 315, No. 5817, Mar. 2007, pp. 1416-1420.
International Preliminary Search Report for PCT/US10/047279 mailed Mar. 15, 2012, 7 pages.
Ivashko, D., et. al, “Modeling the spinal cord neural circuitry controlling cat hindlimb movement during locomotion,” Neurocomputing, vol. 52-54, Mar. 2003, pp. 621-629.
Johansson, J., et al., “A clinical comparison of variable damping and mechanically passive prosthetic knee devices,” American Journal of Physical Medicine & Rehabilitation, vol. 84, No. 8, Aug. 2005, pp. 563-575.
Johnson, C. and Lorenz R., “Experimental identification of friction and its compensation in precise, position controlled mechanisms,” IEEE Trans. on Industry Applications, vol. 28, No. 6, Dec. 1992, pp. 1392-1398.
Jonic S, et. al., “Three machine learning techniques for automatic determination of rules to control locomotion,” IEEE Trans Biomed Eng, vol. 46, No. 3, Mar. 1999, pp. 300-310.
Kadaba, M., et. al., “Measurement of lower extremity kinematics during level walking,” J. Orthop. Res., vol. 8, May 1990, pp. 383-392.
Kadaba, M., et. al., “Repeatability of kinematic, kinetic, and electromyographic data in normal adult gait,” J. Orthop. Res., vol. 7, Nov. 1989, pp. 849-860.
Kajita, K., et. al., “Biped walking on a low friction floor,” Proceedings of the 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems, Oct. 2004, Sendai, Japan., pp. 3546-3551.
Kajita, S., et. al., “Resolved Momentum Control: Humanoid Motion Planning based on the Linear and Angular Momentum,” Proceedings of the 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems, Oct. 2003, Las Vegas, Nev., pp. 1644-1650.
Kajita, S., et. al., “A Hop towards Running Humanoid Biped,” Proceedings of the 2004 IEEE International Conference on Robotics and Automation, Apr. 2004, New Orleans, La., pp. 629-635.
Kaneko, K., et al., “Humanoid robot HRP-2,” Proc. IEEE Int. Conf. on Robotics and Automation, Apr. 2004, New Orleans, La., pp. 1083-1090.
Kapti, A. and Yucenur M., “Design and control of an active artificial knee joint,” Mechanism and Machine Theory, vol. 41, Apr. 2006, pp. 1477-1485.
Katic, D. and Vukobratovic, M., “Survey of intelligent control techniques for humanoid robots,” Journal of Intelligent and Robotics Systems, vol. 37, Jun. 2003, pp. 117-141.
Kerrigan, D, et. al., “A refined view of thedeterminants of gait: significance of heel rise,” Arch. Phys. Med. Rehab., vol. 81, Aug. 2000, pp. 1077-1080.
Kerrigan, D, et. al., “Quantification of pelvic rotation as a determinant of gait,” Arch. Phys. Med. Rehab., vol. 82, Feb. 2001, pp. 217-220.
Khatib, O., et. al., “Coordination and decentralized cooperation of multiple mobile manipulators,” Journal of Robotic Systems, vol. 13, No. 11, Nov. 1996, pp. 755-764.
Khatib, O., et. al., “Whole body dynamic behavior and control of human-like robots,” International Journal of Humanoid Robotics, vol. 1, No. 1, Mar. 2004, pp. 29-43.
Kidder, et al., “A System for the Analysis of Foot and Ankle Kinematics During Gait,” IEEE Transactions on Rehabilitation Engineering, vol. 4, No. 1, Mar. 1996, pp. 25-32.
Kim, et al., “Realization of Dynamic Walking for the Humaniod Robot Platform KHR-1,” Advanced Robotics, vol. 18, No. 7, May 2004, pp. 749-768.
Kirkwood C, et. al., “Automatic detection of gait events: a case study using inductive learning techniques.,” J Biomed Eng, vol. 11, Nov. 1989, pp. 511-516.
Kitayama, I., Nakagawa N, Amemori K, “A microcomputer controlled intelligent A/K prosthesis,” Proceedings of the 7th' World Congress of the International Society for Prosthetics and Orthotics, Chicago. Jun. 28, 1992.
Klute, G., et. al., “Mechanical properties of prosthetic limbs adapting to the patient,” Journal of Rehabilitation Research and Development, vol. 38, No. 3, May 2001, pp. 299-307.
Koganezawa, K. and Kato, I., “Control aspects of artificial leg,” IFAC Control Aspects of Biomedical Engineering, 1987, pp. 71-85.
Kondak, K. and Hommel, G., “Control and online computation of stable movement for biped robots,” Proc. of the 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Oct. 2003, Las Vegas, Nev., pp. 874-879.
Kostov A., et. al., “Machine learning in control of functional electrical stimulation (FES) systems for locomotion,” IEEE Trans on Biomed Eng, vol. 42, No. 6, Jun. 1995, pp. 541-551.
Kuo, A., “A simple model of bipedal walking predicts the preferred speed-step length relationship,” Journal of Biomechanical Engineering, vol. 123, Jun. 2001, pp. 264-269.
Kuo, A., “Energetics of actively powered locomotion using the simplest walking model,” Journal of Biomechanical Engineering, vol. 124, Feb. 2002, pp. 113-120.
LaFortune, “Three-Dimensional Acceleration of the Tibia During Walking and Running,” J. Biomechanics, vol. 24, No. 10, 1991, pp. 877-886.
LeBlanc, M. and Dapena, J., “Generation and transfer of angular momentum in the javelin throw,” Presented at the 20th annual meeting of the American Society of Biomechanics, Oct. 1996, Atlanta, Ga., pp. 17-19.
Liu, X., Low, K. H., Yu, H. Y., Sep. 2004 ‘Development of a Lower Extremity Exoskeleton for Human performance Enhancement’, IEEE Conf. On Intelligent Robots and Systems, Sendai, Japan.
Light, et. al., Skeletal Transients on Heel Strike in Normal Walking With Different Footwear. J. Biomechanics vol. 13, pp. 477-480.
Lloyd R. and Cooke C., “Kinetic changes associated with load carriage using two rucksack designs,” Ergonomics, vol. 43, No. 9, Sep. 2000, pp. 1331-1341.
Luinge, “Inertial Sensing of Human Movement,” Twente University Press, ISBN 9036518237, 2002, pp. 1-80.
Lundberg, A., Oct. 19, 1968. Reflex control of stepping. In: The Nansen memorial lecture V, Oslo: Universitetsforlaget, 5-42.
Macfarlane, P., “Gait comparisons for below-knee amputees using a flex-foot versus a conventional prosthetic foot,” Journal of Prosthetics & Orthotics, vol. 3, No. 4, Summer, 1991, pp. 150-161.
Maganaris, C., “Force-length characteristics of in vivo human skeletal muscle,” Acta Physiol. Scand., vol. 172, Aug. 2001, pp. 279-285.
Maganaris, C., “Force-length characteristics of the in vivo human gastrocnemius muscle,” Clin. Anat., vol. 16, May 2003, pp. 215-223.
Martens, W.L.J., “Exploring the Information Content and Some Applications of Body Mounted Piezo-Resistive Accelerometers,” in: P.H. Veltink and R.C. van Lummel (eds.), Dynamic Analysis using Body Fixed Sensors, ISBN 90-9007328-0, 1994, pp. 8-11.
Maufroy, C., Towards a general neural controller for quadrupedal locomotion, Neural Netw, vol. 21, No. 4, Apr. 2008, pp. 667-681.
Mayagoitia R., et al., “Accelerometer and rate gyroscope measurement of kinematics: an inexpensive alternative to optical motion analysis systems,” Journal of Biomechanics, vol. 35, Apr. 2002, pp. 537-542.
McGeer T., “Passive Dynamic Walking,” International Journal of Robotics, vol. 9, No. 2, May 1988, pp. 62-82.
McGeer, T., “Principles of walking and running,” Advances in Comparative and Environmental Physiology, vol. 11, Ch. 4, Apr. 1992, pp. 113-139.
McIntosh, A., et. al., “Gait dynamics on an inclined walkway,” Journal of Biomechanics, vol. 39, Sep. 2005, pp. 2491-2502.
McMahon, T., “The mechanics of running: how does stiffness couple with speed?,” J. of Biomecb., vol. 23, 1990, pp. 65-78.
McMahon, T., et. al., “Groucho Running,” Journal of Applied Physiology, vol. 62, No. 6, Jun. 1987, pp. 2326-2337.
Minassian, K., et. al., “Human lumbar cord circuitries can be activated by extrinsic tonic input to generate locomotor-like activity,” Hum. Mov. Sci., vol. 26, Mar. 2007, pp. 275-295.
Mochon, S., et. al., “Ballistic walking,” Journal of Biomechanics, vol. 13, Dec. 1980, pp. 49-57.
Molen, N., “Energy/speed relation of below-knee amputees walking on motor-driven treadmill,” Int. Z. Angew. Physio, vol. 31, Mar. 1973, pp. 173.
Morris, “Accelerometry—A Technique for the Measurement of Human Body Movements,” J. Biomechanics, vol. 6, Nov. 1973, pp. 729-736.
Muraoka, T., et. al, “Muscle fiber and tendon length changes in the human vastus lateralis during slow pedaling,” J. Appl. Physiol., vol. 91, Nov. 2001, pp. 2035-2040.
Nakagawa A., “Intelligent Knee Mechanism and the Possibility to Apply the Principle to the Other Joints,” Proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Vo. 20, No. 5, Oct. 1998, pp. 2282-2287.
Neal R. and Hinton G., “A view of the EM algorithm that justifies incremental, sparse, and other variants,” in Michael I. Jordan (editor), Learning in Graphical Models, 1999, Cambridge, MA, pp. 1-14.
Ng, et al., “Fuzzy Model Identification for Classification of Gait Events in Paraplegics,” IEEE Transactions on Fuzzy Systems, vol. 5, No. 4, Nov. 1997, pp. 536-544.
Nielsen, D., et. al., “Comparison of energy cost and gait efficiency during ambulation in below-knee amputees using different prosthetic feet—a preliminary report,” Journal of Prosthetics & Orthotics, vol. 1, No. 1, 1989, pp. 24-29.
Ogihara, N. and Yama7aki, N., “Generation of human bipedal locomotion by a bio-mimetic neuro-musculo-skeletal model,” Biol Cybern, vol. 84, No. 1, Jan. 2001, pp. 1-11.
Palmer, M., “Sagittal plane characterization of normal human ankle function across a range of walking gait speeds,” Masters Thesis, MIT, Feb. 2002, Cambridge, MA, pp. 1-71.
Paluska, D., and Herr, H., “The effect of series elasticity on actuator power and work output: implications for robotic and prosthetic joint design,” Robotics and Autonomous Systems, vol. 54, Jun. 2006, pp. 667-673.
Paluska, D. and Herr, H., “Series Elasticity and Actuator Power Output,” Proceedings of the 2006 IEEE International Conference on Robotics and Automation, May 2006, Orlando, FL, pp. 1830-1833.
Pang, M., et. al., “The initiation of the swing phase in human infant stepping: importance of hip position and leg loading,” J Physiol, vol. 528, No. 2, Oct. 2000, pp. 389-404.
Pasch, K. A., and W. P. Seering, “On the drive systems for high performance machines,” AMSE J. Mechanisms, Transmissions, and Automation in Design vol. 106, pp. 102-108, Mar. 1984.
Paul, C., et. al., “Development of a human neuro-musculo-skeletal model for investigation of spinal cord injury,” Biol Cybern, vol. 93, No. 3, Aug. 2005, pp. 153-170.
Pearson, K., “Generating the walking gait: role of sensory feedback,” Prog Brain Res, vol. 143, 2004, pp. 123-129.
Pearson, K., et. al., “Assessing sensory function in locomotor systems using neuro-mechanical simulations,” Trends Neurosci, vol. 29, No. 11, Nov. 2006, pp. 625-631.
Perry, Gait Analysis: Normal and Pathological Function, New Jersey: SLACK Inc.; 1992, Book Review, 1 page.
Perry, J. and S. Shanfield, “Efficiency of dynamic elastic response prosthetic feet,” Journal of Rehabilitation Research and Development, vol. 30, No. 1, 1993 pp. 137-143.
Petrofshy et al., “Feedback Control System for Walking in Man,” Comput. Biol. Med., vol. 14, No. 2, Mar. 1984, pp. 135-149.
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., “Control Aspects of Active Above-Knee Prosthesis,” Int. Journal Man-Machine Studies, (1991) 35, pp. 751-767.
Popovic, D., “Control of Movement for the Physically Disabled,” Springer-Verlag London Limited, May 2000, pp. 270-302.
Popovic, M. and Herr, H., “Global Motion Control and Support Base Planning,” Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, Aug. 2005, Alberta, Canada, pp. 1-8.
Popovic, M., et. al., “Angular Momentum Regulation during human walking: Biomechanics and Control,” Proceedings of the 2004 IEEE International Conference on Robotics and Automation, Apr. 2004, New Orleans, LA, pp. 2405-2411.
Popovic, M., et. al., “Zero spin angular momentum control: definition and applicability,” Proceedings of the IEEE-RAS/RSJ International Conference on Humanoid Robots, Nov. 2004, Los Angeles, CA, pp. 1-16.
Popovic, M., “Angular Momentum Primitives for Human Walking: Biomechanics and Control,” Proc. of the 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems, Sep. 2004, Sendai, Japan., pp. 1685-1691.
Popovic, et al., “Gait Identification and Recognition Sensor,” Proceedings of 6th Vienna International Workshop on Functional Electrostimulation, Sep. 1998, pp. 1-4.
Popovic, M., et. al., “Ground Reference Points in Legged Locomotion: Definitions, Biological Trajectories and Control Implications,” International Journal of Robotics Research, Dec. 2006, pp. 79-104.
Popovic, M.B., W. Gu and H. Herr, “Conservation of Angular Momentum in Human Movement,” MIT AI Laboratory-Research Abstracts, Sep. 2002. pp. 231-232, 2002.
Pratt, G. and Williamson M., “Series elastic actuators,” Proceedings on IEEE/RSJ International Conference on Intelligent Robots and Systems, Jan. 1995, Pittsburgh, PA, pp. 399-406.
Pratt, G., “Legged Robots: What's New Since Raibert,” IEEE Robotics and Automation Magazine, Research Perspectives, Sep. 2000, pp. 15-19.
Pratt, G., “Low Impedance Walking Robots,” Integ. and Comp. Biol., vol. 42, Feb. 2002, pp. 174-181.
Pratt, J., et. al., “The RoboKnee: An Exoskeleton for Enhancing Strength and Endurance During Walking”, IEEE Conf. on Robotics and Automation, Apr. 2004, New Orleans, LA, pp. 2430-2435.
Prochazka, A., et. al., “Positive force feedback control of muscles,” J. of Neuro-phys., vol. 77, Jun. 1997, pp. 3226-3236.
Prochazka, A., et. al., “Sensory control of locomotion: reflexes versus higher-level control,” Adv Exp Med Biol, vol. 508, 2002, pp. 357-367.
Prochazka, A. and Yakovenko, S., “The neuromechanical tuning hypothesis,” Prog Brain Res, vol. 165, Oct. 2007, pp. 255-265.
Raibert, M., “Legged Robots that Balance,” The MIT Press, Nov. 1986, Cambridge, MA, p. 89.
Rassier, D., et. al., “Length dependence of active force production in skeletal muscle,” Journal of Applied Physiology, vol. 86, Issue 5, May 1999, pp. 1455-1457.
Riener, R., et. al., “Stair ascent and descent at different inclinations,” Gait Posture, vol. 15, Feb. 2002, pp. 32-44.
Reitman, et. al., Gait analysis in prosthetics: opinions, ideas and conclusions, Prosthetics and Orthotics International, 2002, 26, 50-57.
Robinson, D., “Series elastic actuator development for a biomimetic walking robot,” Proceedings of IEEE/ASME International Conference on Advanced Intelligent Mechatronics, Sep. 1999, pp. 561-568.
Robinson, D., “Design and an analysis of series elasticity in closed-loop actuator force control,” Ph.D. Thesis, MIT, Jun. 2000, Cambridge, MA, pp. 1-123.
Rosen, J., et al., “A myosignal-based powered exoskeleton system,” IEEE Transactions on Systems, Man, and Cybernetics—Part A: Systems and Humans, vol. 31, No. 3, May 2001, pp. 210-222.
Ruina, A., et. al., “A collisional model of the energetic cost of support work qualitatively explains leg sequencing in walking and galloping, pseudo-elastic leg behavior in running and the walk-to-run transition,” Journal of Theoretical Biology, vol. 237, Issue 2, Jun. 2005, pp. 170-192.
Rybak, I., et. al., “Modelling spinal circuitry involved in locomotor pattern generation: insights from deletions during fictive locomotion,” J Physiol, vol. 577 (Pt 2), Dec. 2001, 617-639.
Sanderson, D., et. al., “Lower extremity kinematic and kinetic adaptations in unilateral below-knee amputees during walking,” Gait and Posture, vol. 6, No. 2, Oct. 1997, pp. 126-136.
Sanger, T., “Human arm movements described by a low-dimensional superposition of principal component,” Journal of NeuroScience, vol. 20, No. 3, Feb. 2000, pp. 1066-1072.
Saranli, U., “RHex: A simple and highly mobile hexapod robot,” Int. Jour. Rob. Res., vol. 20, No. 7, Jul. 2001, pp. 616-631.
Sarrigeorgidis K. and Kyriakopoulos K., “Motion control of the N.T.U.A. robotic snamek on a planar surface,” Proc. of the 1998 IEEE International Conference on Robotics and Automation, May 1998, pp. 2977-2982.
Schaal, S. and Atkeson, C., “Constructive incremental learning from only local information,” Neural Computation, vol. 10, No. 8, Nov. 1998, pp. 2047-2084.
Schaal, S., “Is imitation learning the route to humanoid robots?” Trends in Cognitive Sciences, vol. 3, Jun. 1999, pp. 233-242.
Scott, S. and Winter, D., “Biomechanical model of the human foot: kinematics and kinetics during the stance phase of walking,” J. Biomech., vol. 26, No. 9, Sep. 1993, 1091-1104.
Sentis, L. and O. Khatib, “Task-Oriented Control of Humanoid Robots Through Prioritization,” IEEE-RAS/RSJ International Conference on Humanoid Robots, Nov. 2004, Santa Monica, CA, pp. 1-16.
Seyfarth, A., et. al., “A movement criterion for running,” J. of Biomech., vol. 35, May 2002, pp. 649-655.
Seyfarth, A., “Swing-leg retraction: a simple control model for stable running,” J. Exp. Biol., vol. 206, Aug. 2003, pp. 2547-2555.
Seyfarth, A., et. al., “Stable operation of an elastic three-segmented leg,” Biol.Cybern., vol. 84, 2001, pp. 365-382.
Simon F., et. al, “Convergent force fields organized in the frog's spinal cord,” Journal of NeuroScience, vol. 13, No. 2, Feb. 1993, pp. 467-491.
Sinkjaer, T., et. al., “Major role for sensory feedback in soleus EMG activity in the stance phase of walking in man,” J Physiol, vol. 523, No. 3, Mar. 2000, 817-827.
Skinner, H. and Effeney D., “Gait analysis in amputees,” Am J Phys Med, vol. 64, Apr. 1985, pp. 82-89.
Smidt et al., “An Automated Accelerometry System for Gait Analysis,” J. Biomechanics, vol. 10, 1977, pp. 367-375.
Srinivasan, M., “Energetics of legged locomotion: Why is total metabolic cost proportional to the cost of stance work,” Proc. on ISB XXth Congress and the American Society of Biomechanics Annual Meeting, Jul. 2003, Cleveland, OH, pp. 829.
Stepien, J., et al., “Activity Levels Among Lower-Limb Amputees: Self-Report Versus Step Activity Monitor,” Arch. Phys. Med. Rehabil., vol. 88, No. 7, Jul. 2007, pp. 896-900.
Sugano et al., “Force Control of the Robot Finger Joint equipped with Mechanical Compliance Adjuster,” Proc. of the 1992 IEEE/RSJ Int. Conf. on Intell. Robots & Sys., Jul. 1992, pp. 2005-2013.
Sugihara, T., et. al., “Realtime Humanoid Motion Generation through ZMP Manipulation based on Inverted Pendulum Control,” Proceedings of the 2002 IEEE International Conference on Robotics and Automation, May 2002, Washington, DC, pp. 1404-1409.
Sup, F., “Design and Control of a Powered Transfemoral Prosthesis,” The International Journal of Robotics Research, vol. 27, No. 2, Feb. 2008, pp. 263-273.
Taga, G., “A model of the neuro-musculo-skeletal system for human locomotion,” Biol. Cybern., vol. 73, No. 2, Jul. 1995, pp. 97-111.
Takayuki “Biped Locomotion using Multiple Link Virtual Inverted Pendulum Model,” Publication of Electronics Information and Systems Society, vol. 120, No. 2, Feb. 2000, 8 pages.
Thoroughman, K. and R. Shadmehr, “Learning of action through adaptive combination of motor primitives,” Nature, vol. 407, Oct. 2000, pp. 742-747.
Tomovic R. et al., “A Finite State Approach to the Synthesis of Bioengineering Control Systems,” IEEE Transations on Human Factors in Electronics, vol. 7, No. 2, Jun. 1966, pp. 65-69.
Tong, et al., “A Practical Gait Analysis System Using Gyroscopes,” Medical Engineering & Physics, vol. 21, Mar. 1999, pp. 87-94.
Turker, K., “Electromyography: some methodological problems and issues,” Physical Therapy, vol. 73, No. 10, Oct. 1993, pp. 698-710.
van den Bogert, A., “Exotendons for assistance of human locomotion,” Biomedical Engineering Online, Oct. 2003, pp. 1-8.
van den Bogert, et al. “A Method for Inverse Dynamic Analysis Using Accelerometry,” Journal Biomechanics, vol. 29, No. 7, 1996, pp. 949-954.
Veltink P., et al., “The Feasibility of Posture and Movement Detection by Accelerometry,” D-7803-1377-I/93, IEEE, Oct. 1993, pp. 1230-1231.
Vukobratovic M. and Juricic, D., “Contributions to the synthesis of biped gait,” IEEE Transactions on Biomedical Engineering, vol. BME-16, No. 1, Jan. 1969, pp. 1-6.
Vukobratovic M. and Stepanenko J., “Mathematical models of general anthropomorphic systems,” Mathematical Biosciences, vol. 17, Aug. 1973, pp. 191-242.
Walsh, C., “Biomimetic Design of an Under-Actuated Leg Exoskeleton for Load-Carrying Augmentation,” Masters Thesis, MIT, Feb. 2006, pp. 1-94.
Waters, RL., “Energy cost of walking amputees: the influence of level of amputation,” J Bone Joint Surg., vol. 58, No. 1, Jan. 1976, pp. 42-46.
Wilkenfeld, A. J., “Biologically inspired auto adaptive control of a knee prosthesis,” Ph.D. Thesis, Massachusetts Institute of Technology, Oct. 23, 2000.
Wilkenfeld, A., “An Auto-Adaptive External Knee Prosthesis,” Artificial Intelligence Laboratory, MIT, Sep. 2000, Cambridge, MA, pp. 1-3.
Williamson, M., “Series Elastic Actuators,” Artificial Intelligence Laboratory, MIT, Jan. 1995, Cambridge, MA, pp. 1-74.
Willemsen A., et al., “Automatic Stance-Swing Phase Detection from Accelerometer Data for Peroneal Nerve Stimulation,” IEEE Transactions on Human Factors in Electronics, vol. 37, No. 12, Dec. 1990, pp. 1201-1208.
Willemsen A., et al., “Real-Time Gait Assessment Utilizing a New Way of Accelerometry,” Journal of Biomechanics, vol. 23, No. 8, 1990, pp. 859-863.
Williams, B., “Mode Estimation of Model-based Programs: Monitoring Systems with Complex Behavior,” Proceedings of the International Joint Conference on Artificial Intelligence, Aug. 2001, Seattle, WA, pp. 1-7.
Winter, D. and Sienko S., “Biomechanics of below-knee amputee gait,” Journal of Biomechanics, vol. 21, No. 5, Aug. 1988, pp. 361-367.
Winter, D. A, “Energy generation and absorption at the ankle and knee during fast, natural, and slow cadences,” Clinical Orthopedics and Related Research, vol. 175, May 1983, pp. 147-154.
Winter, D, and Robertson D., “Joint torque and energy patterns in normal gait,” Biol. Cybem., vol. 29, May 1978, pp. 137-142.
Wisse, M., “Essentials of Dynamic Walking, Analysis and Design of two-legged robots,” Ph.D. Thesis, Technical University of Delft, 2004, pp. 1-195.
Woodward et al., “Skeletal Accelerations measured during different Exercises,” Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine, vol. 207, Jun. 1993, pp. 79-85.
Wu, 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.
Yakovenko, S., et. al., “Contribution of stretch reflexes to locomotor control: a modeling study,” Biol Cybern, vol. 90, No. 2, Jan. 2004, pp. 146-155.
Yun X., “Dynamic state feedback control of constrained robot manipulators,” Proc. of the 27th conference on Decision and Control, Dec. 1988, pp. 622-626.
Zlatnik, D., et. al., “Finite-state control of a trans-femoral prosthesis,” IEEE Trans. on Control System Technology, vol. 10, No. 3, May 2002, pp. 408-420.
Hogan, N., “Impedance Control: An Approach to Manipulation: Part I—Theory.” Journal of Dynamic Systems, Measurement, and Control, vol. 107, Mar. 1985, pp. 1-7.
Li, C., et al. (2006) Research and development of the intelligently-controlled prosthetic ankle joint. Proc. of IEEE Int. Conf. on Mechatronics and Automation. Luoyang, China, pp. 1114-1119.
McFadyen, B. and Winter, D., “An integrated biomechanical analysis of normal stair ascent and descent,” Journal of Biomechanics, vol. 21, No. 9, 1988, Great Britain, pp. 733-744.
Oda, T, Kanehisa, et al., 2005, “In vivo lenth-force relationships on muscle fiver and muscle tendon complex in the tibialis anterior muscle.” Int. J. Sport and Health Sciences 3, 245-252.
International Search Report and Written Opinion for PCT/US2011/031105 mailed Oct. 11, 2011 (17 pages).
Blaya, J.A., and Herr, H., “Adaptive Control of a Variable-Impedance Ankle-Foot Orthosis to Assist Drop Foot Gait,” Artificial Intelligence Lab and Harvard—MIT Division Health Sciences and Technology, Boston, MA, vol. 12, No. 1, Mar. 2004, 30 pages.
Blaya, J.A., et al., “Active Ankle Foot Orthoses (AAFO),” http://www.ai.mit.edu. Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts, 2001, 3 pages.
Drake, C., “Foot & Ankle Splints or Orthoses,” HemiHelp Information Sheet, London, United Kingdom, www.hemihelp.org.uk/leaflets/hbleaflets90.htm, Jun. 2003, pp. 1-3.
Klute, et al., “Variable Stiffness Prosthesis for Transtibial Amputees,” Dept of Veteran Affairs, 2004, Seattle, WA USA, 2 pages.
Bouten et al., Assessment of energy expenditure for physical activity using a triaxial accelerometer. Med Sci Sports Exerc. Dec. 1994;26(12):1516-23.
Bouten, A Triaxial Accelerometer and Portable Data Processing Unit for the Assessment of Daily Physical Activity, IEEE Transactions on Biomedical Engineering, vol. 44, No. 3, Mar. 1997, pp. 136-147.
Colgate, The control of dynamically interacting systems. MIT. Aug. 1988. 1-19.
Davids et al., Disorders of Bone and Mineral Metabolism. Book reviews. J Ped Orthopaedics. 1992;12(6):815.
Fisekovic et al., New controller for functional electrical stimulation systems, Medical Engineering & Physics vol. 23, 2001, pp. 391-399.
Foerster et al., Detection of posture and motion by accelerometry a validation study in ambulatory monitoring, Computer in Human Behavior, 1999, pp. 571-583.
Foxlin et al., Miniature 6-DOF inertial system for tracking HMDs, In SPIE vol. 3362, Helmet and Head-Mounted Displays III. AeroSense 98, Orlando, FL, Apr. 13-14, 1998, 15 pages.
Giszter et al., Convergent force fields organized in the frog's spinal cord. J Neurosci. Feb. 1993;13(2):467-91.
Hashimoto et al., An instrumented compliant wrist using a parallel mechanism, Japan/USA Symposium on Flexible Automation, vol. 1, pp. 741-744, ASME, 1992.
Herr, New Horizons for Orthotic and Prosthetic Technology: Artificial Muscle for Ambulation MIT Media Laboratory. 2004:1-9.
Hogan, N and Buerger S., Impedance and Interaction Control, Robotics and Automation Handbook, CRC Press, Jun. 2004, pp. 19.1-19.24.
Isakower, Design Charts for Torsional Properties of Non-circular Shafts, Technical Report ARMID-TR-78001, ARRADCOM, MISD, DRDAR-MSA, Dover,NJ, Nov. 1978.
Lee et al., activity and Location recognition Using Wearable Sensors, Pervasive Computing, Jul.-Sep. 2002, pp. 24-32.
McFadyen et al., An integrated biomechanical analysis of normal stair ascent and descent. J Biomech. 1988;21(9):733-44.
Moe-Nilssen, A new method for evaluating motor control in gait under real-life environmental.conditions, Part 2: Gait analysis, Clinical biomechanics, vol. 13, 1998, pp. 328-335.
Popovic, M. and Herr, H., Global Motion Control and Support Base Planning, Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, Aug. 2005, Alberta, Canada, pp. 1-8.
Rybak et al., Modelling spinal circuitry involved in locomotor pattern generation: insights from the effects of afferent stimulation. J Physiol. Dec. 1, 2006;577(Pt 2):641-58. Epub Sep. 28, 2006.
Sekine et al., Classification of waist-acceleration signals in a continuous walking record, Medical Engineering & Physics, vol. 22, 2000, pp. 285-291.
Sin 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.
Tong et al., Virtual artificial sensor technique for functional electricial stimulation, Medical Engineering & Physics, vol. 20, 1998, pp. 458-468.
van der Kooij et al., A multisensory integration model of human stance control, Biological Cybernetics, 1999, pp. 299-308.
Veltink, Dection of Static and Dynamic Activities Using Uniaxial Accelerometers, IEEE Transactions on Biomedical Engineering, vol. 4. No. 4, Dec. 1996, pp. 375-385.
Provisional Applications (1)
Number Date Country
60395938 Jul 2002 US
Continuations (1)
Number Date Country
Parent 10613499 Jul 2003 US
Child 13363820 US