Multi-modal upper limb prosthetic device control using myoelectric signals

Information

  • Patent Grant
  • 11890208
  • Patent Number
    11,890,208
  • Date Filed
    Friday, March 6, 2020
    4 years ago
  • Date Issued
    Tuesday, February 6, 2024
    10 months ago
Abstract
Methods of operating a prosthesis having at least one moveable component and an electronic control device are provided, where the at least one moveable component has two or more operating modes and at least one operating parameter. The method comprises receiving at least one input control signal from the wearer of the prosthesis, comparing the at least one input control signal with an operating profile stored in the electronic control device in order to determine a desired operating mode and operating parameter, and instructing the moveable component to move in accordance with the desired operating mode and operating parameter. Prostheses are also provided, at least one such prosthesis comprising at least one moveable component and an electronic device operable to select both an operating mode of the at least one moveable component and at least one operating parameter of the at least one moveable component in response to an input command signal from the wearer of the prosthesis.
Description
SUMMARY

The present invention relates to a prosthesis, particularly, but not exclusively, a hand prosthesis.


Prosthetic hands with powered digits are known. For example, WO 2007/063266 and WO 1995/24875 disclose a prosthesis with a mechanically operated digit member that is moved by an electric motor. The prosthesis is capable of operating in a number of modes, such as function modes (grasp, pinch, etc.) and gesture modes (point etc.).


It is an aim of the present invention to provide an improved prosthesis having a motor driven digit member.


According to a first aspect of the invention there is provided a method of operating a prosthesis having at least one moveable component and an electronic control device, the at least one moveable component having two or more operating modes and at least one operating parameter, the method comprising:


receiving at least one input control signal from the wearer of the prosthesis;


comparing the at least one input control signal with an operating profile stored in the electronic control device in order to determine a desired operating mode and operating parameter; and


instructing the moveable component to move in accordance with the desired operating mode and operating parameter.


The method may further comprise the steps of:


storing input control signals received so as to establish an input control signal pattern; and


predicting a desired operating mode and operating parameter based upon the input control signal pattern upon receiving the at least one control signal from the wearer of the prosthesis.


The method may further comprise a final step of sending a feedback signal to the wearer of the prosthesis, the feedback signal indicative of the selected operating mode and operating parameter.


The operating profile may be divided into a plurality of regions, each region representing a separate operating mode and operating parameter, and wherein the comparison step comprises plotting in one of the plurality of regions a resultant input command signal based upon the one or more input control signals, and determining the operating mode and operating parameter associated with that region.


The at least one input control signal may be generated by one or more sensors attached to the wearer of the prosthesis.


According to a second aspect of the invention there is provided a prosthesis comprising:


at least one moveable component, the component having two or more operating modes and at least one operating parameter; and


an electronic control device storing an operating profile;


wherein the control device receives at least one input control signal from a wearer of the prosthesis, compares the at least one input control signal with the operating profile to determine a desired operating mode and operating parameter for the component, and instructs the component to move in accordance with the desired operating mode and operating parameter.


The electronic control device may include a memory for storing input control signals received so as to establish an input control signal pattern, and a program which predicts a desired operating mode and operating parameter based upon the input control signal pattern upon receiving the at least one control signal from the wearer of the prosthesis.


The electronic control device may include a signal generator which sends a feedback signal to the wearer of the prosthesis, the feedback signal indicative of the selected operating mode and operating parameter.


The prosthesis may further comprise one or more sensors attached to the wearer of the prosthesis for the generation of the at least one input control signal.


According to a third aspect of the invention there is provided a prosthesis comprising:


at least one moveable component, wherein the at least one moveable component has two or more operating modes and at least one operating parameter; and


an electronic device operable to select both an operating mode of the at least one moveable component and at least one operating parameter of the at least one moveable component in response to an input command signal from the wearer of the prosthesis.


The moveable component may be a digit of a hand prosthesis. The digit may be a finger or a thumb of a hand prosthesis. The digits may be moveable relative to a body part to which they are attached. The digits may be rotatably and/or pivotably moveable relative to a body part to which they are attached. The body part may be attachable to the wearer of the prosthesis.


The prosthesis may be configured such that it is attachable to a partial-hand amputee. That is, the prosthesis may be arranged such that it is attachable to a wearer who is missing one or more fingers or a thumb from their hand, with the moveable components replacing the missing fingers or thumb.


The moveable component may be a body part to which a digit may be attached. The moveable component may be a hand chassis. The moveable component may be a wrist or cuff component. The body part or hand chassis may be rotatably attachable to the wearer of the prosthesis.


The term operating mode is considered here to mean an operating movement of the moveable component in response to an input command signal from the wearer of the prosthesis. When the prosthesis comprises two or more moveable components, the term operating mode is considered to mean the operational interaction between the moveable components in response to an input command signal from the wearer of the prosthesis.


Each operating mode provides for a discrete operating movement of the moveable component. When the prosthesis comprises two or more moveable components, each operating mode provides for a discrete operational interaction between the moveable components. The operational interaction between the moveable components may include functional tasks that the wearer of the prosthesis wishes the components to perform, such as pressing the components together in a pinching action, or moving the components to a desired position to create a gesture, such as pointing.


The term operating parameter is considered here to mean an operating condition of the moveable component in response to an input command signal from the wearer of the prosthesis. The operating parameter of the moveable component may include its speed, acceleration, deceleration, force, operating duration, amount of extension, amount of flexion, angle of rotation etc.


The operating parameter of the moveable component may be proportional to the input command signal. That is, the operating condition of the moveable component may be proportional to the input command signal.


The electronic device may be operable to select both the operating mode of the at least one moveable component and the operating parameters of the moveable components in response to an input command signal from the wearer of the prosthesis.


The electronic device may be operable to simultaneously select both the operating mode of the at least one moveable component and at least one operating parameter of the at least one moveable component in response to an input command signal from the wearer of the prosthesis.


The electronic device may be operable to select both the operating mode of the at least one moveable component and the at least one operating parameter of at least one moveable component in response to a single input command signal from the wearer of the prosthesis.


The at least one moveable component may have a plurality of operating modes.


The prosthesis may comprise a plurality of moveable components. Each moveable component may have two or more operating modes and at least one operating parameter.


Each moveable component may have a plurality of operating parameters.


The electronic device may be operable to select one of the plurality of operating modes of the at least one moveable component and at least one operating parameter of the at least one moveable component in response to an input command signal from the wearer of the prosthesis.


The electronic device may be operable to select one of the plurality of operating modes of the at least one moveable component and at least one operating parameter of the at least one moveable component in response to a predetermined input command signal from the wearer of the prosthesis.


Each predetermined input command signal may result in selection of a corresponding predetermined operating mode of the at least one moveable component and at least one operating parameter of the at least one moveable component.


The input command signal may comprise two or more input signals from the wearer of the prosthesis. The input command signal may comprise a plurality of input signals from the wearer of the prosthesis.


The input signals from the wearer of the prosthesis may be provided via one or more switches. The switches may be analogue or digital switches. The switches may be actuated by residual movement of the wearer of the prosthesis, wrist and/or shoulder movement of the wearer of the prosthesis, movement of the remnant digits and/or knuckles, or the like.


The input signals from the wearer of the prosthesis may be provided by electrophysiological signals derived from the activity of, or from, surface electromyographic (EMG) and intramuscular activity of residual muscle actions of the wearer of the prosthesis, electroneurographic (ENG) activity of residual peripheral nerves of the wearer of the prosthesis, signals derived from one or more neural implants in the wearer of the prosthesis implanted in the brain or spinal cord, EMG activity from reinnervated muscles, muscles of the feet and/or chest, or the like.


The input signals from the wearer of the prosthesis may be provided by non-electrophysiological signals derived from the activity of pressure sensitive resistors on the wearer of the prosthesis, near infrared spectroscopy signal, or bend sensitive resistors on the wearer of the body to capture any residual movement of the digits, wrist, elbow or shoulder of the wearer of the prosthesis, or the like.


The input signals from the wearer of the prosthesis may be provided directly by signals derived from neural, spinal or muscular activity, for example, electromyographic (EMG) activity of hand muscle/forearm muscle actions, or residual muscle actions, of the wearer of the prosthesis recorded non-invasively from the surface of the skin or invasively from superficial or deep muscular structures with using needle or an array of needle electrodes. The prosthesis may be controlled by the activity of any combination of intrinsic and extrinsic hand muscle group, such as muscles in the thenar and hypothenar muscles, the interossei muscles originating between the metacarpal bones, the long flexors and extensors in the forearm, e.g. extensor pollicis longus muscle, extensor/flexor indicis muscle, or the like.


The input signals may be the results, or signature, of the recorded signal of a mathematical operation on the electrophysiological or non-electrophysiological measurements from the wearer of the prosthesis. For example, if the measurement is an EMG signal, the signature of the EMG may be the amplitude or the energy of the signal.


The mathematical signatures of the EMG signal in the time domain may be: amplitude (Mean absolute value of EMG and all its variations), energy (Square integral, Variance, Root means square (RMS)), number of zero crossing, Wilson amplitude, waveform length, slope sign change, or histogram of EMG.


The mathematical signatures of the EMG signal in the frequency domain may be: autoregressive and spectral coefficients or median and mean frequency.


The mathematical signatures of the EMG signal in the time-frequency may be: coefficients of the short time Fourier transform, or discrete or continuous wavelet coefficients.


The mathematical signatures of the EMG signal in higher order statistics may be: skewness or kurtosis of EMG or any other higher even-or-odd-order statistics, entropy or negentropy.


These signatures and others may be repeated for each of the input signals to the algorithm. Any combination of static and dynamic signature extraction may also be used.


It should also be appreciated that the above signatures may be extracted and a dimensionality reduction technique may be used, such as principal component analysis, to reduce to input dimensions to 2, 3, . . . etc.


The electronic device may include a predetermined operating profile of the prosthesis. The electronic device may include one or more predetermined operating profiles.


The or each, predetermined operating profile of the prosthesis may include an operating profile of the input command signal, operating mode of the moveable component and operating parameter(s) of the moveable component of the prosthesis.


The or each, predetermined operating profile of the prosthesis may be based on one or more input signals from the wearer of the prosthesis to produce an input command signal which results in selection of both the operating mode of the at least one moveable component and at least one operating parameter of the at least one moveable component.


The electronic device may be operable to modify the, or each, predetermined operating profile of the prosthesis to a modified operating profile. In this arrangement the electronic device may be operable to modify the, or each, predetermined operating profile to a new operating profile that the wearer of the prosthesis finds easier to operate. The modification of the, or each, predetermined operating profile may be reinforcement learning, iterative learning, co-adaptive control or the like.


The electronic device may be operable to switch between two or more predetermined operating profiles.


The or each, predetermined operating profile of the prosthesis may be based on one or more input signals from the wearer of the prosthesis to produce an input command signal which results in simultaneous selection of both the operating mode of the at least one moveable component and at least one operating parameter of the at least one moveable component.


The electronic device may be further operable to produce an output signal indicative of the operating mode of the at least one moveable component and/or the operating parameter of the at least one moveable component.


The electronic device may be further operable to produce an output signal indicative of the operating mode of the at least one moveable component and the operating parameters of the moveable component.


The electronic device may be further operable to communicate the output signal to the wearer of the prosthesis.


The output signal may be communicated to the wearer of the prosthesis visually, kinaesthetically, aurally or neurally.


The output signal may be communicated non-invasively to the wearer of the prosthesis via electro-tactile or vibro-tactile stimulation of the body skin. The electro-tactile or vibro-tactile stimulation to the body skin may be provided at the forearm, shoulder, neck, or the like.


The electronic device may be further operable to process the input command signal from the wearer of the prosthesis. The electronic device may be further operable to process the input signals from the wearer of the prosthesis.


The electronic device may be further operable to pre-process the input signals from the wearer of the prosthesis. The electronic device may be further operable to pre-process the input signals from the wearer of the prosthesis to predict the intended input command signal. The electronic device may be further operable to select both an operating mode of the at least one moveable component and at least one operating parameter of the at least one moveable component in response to the predicted input command signal.


The electronic device may include a processor. The processor may be operable to control the operation of the prosthesis. The processor may be operable to control the operation of the moveable component of the prosthesis. The processor may be operable to select both the operating mode of the at least one moveable component and at least one operating parameter of the at least one moveable component in response to the input command signal from the wearer of the prosthesis.


The electronic device may include firmware. The firmware may be operable to control the operation of the prosthesis. The firmware may be operable to control the operation of the moveable component of the prosthesis. The firmware may be operable to select both the operating mode of the at least one moveable component and at least one operating parameter of the at least one moveable component in response to the input command signal from the wearer of the prosthesis.


The processor may include the, or each, predetermined operating profile of the prosthesis.


The electronic device may be located with the prosthesis. The electronic device may be located with the wearer of the prosthesis.


According to a fourth aspect of the invention there is provided a method of operating a prosthesis having at least one moveable component, the at least one moveable component having two or more operating modes and at least one operating parameter, and an electronic device operable to control the operation of the at least one moveable component of the prosthesis, the method comprising the steps of:


providing the electronic device with an input command signal from the wearer of the prosthesis; and


using the electronic device to select both an operating mode of the at least one moveable component and at least one operating parameter of the at least one moveable component in response to the input command signal from the wearer of the prosthesis.


The moveable component may be a digit of a hand prosthesis. The digit may be a finger or a thumb of a hand prosthesis. The digits may be moveable relative to a body part to which they are attached. The digits may be rotatably and/or pivotably moveable relative to a body part to which they are attached. The body part may be attachable to the wearer of the prosthesis.


The prosthesis may be configured such that it is attachable to a partial-hand amputee. That is, the prosthesis may be arranged such that it is attachable to a wearer who is missing one or more fingers or a thumb from their hand, with the moveable components replacing the missing fingers or thumb.


The moveable component may be a body part to which a digit may be attached. The moveable component may be a hand chassis. The moveable component may be a wrist or cuff component. The body part or hand chassis may be rotatably attachable to the wearer of the prosthesis.


The term operating mode is considered here to mean an operating movement of the moveable component in response to an input command signal from the wearer of the prosthesis. When the prosthesis comprises two or more moveable components, the term operating mode is considered to mean the operational interaction between the moveable components in response to an input command signal from the wearer of the prosthesis.


Each operating mode provides for a discrete operating movement of the moveable component. When the prosthesis comprises two or more moveable components, each operating mode provides for a discrete operational interaction between the moveable components. The operational interaction between the moveable components may include functional tasks that the wearer of the prosthesis wishes the components to perform, such as pressing the components together in a pinching action, or moving the components to a desired position to create a gesture, such as pointing.


The term operating parameter is considered here to mean an operating condition of the moveable component in response to an input command signal from the wearer of the prosthesis. The operating parameter of the moveable component may include its speed, acceleration, deceleration, force, operating duration, amount of extension, amount of flexion, angle of rotation etc.


The operating parameter of the moveable component may be proportional to the input command signal. That is, the operating condition of the moveable component may be proportional to the input command signal.


The electronic device may be operable to select both the operating mode of the at least one moveable component and the operating parameters of the moveable components in response to an input command signal from the wearer of the prosthesis.


The electronic device may be operable to simultaneously select both the operating mode of the at least one moveable component and at least one operating parameter of the at least one moveable component in response to an input command signal from the wearer of the prosthesis.


The electronic device may be provided with a single input command signal from the wearer of the prosthesis.


The electronic device may be operable to select both the operating mode of the at least one moveable component and at least one operating parameter of the at least one moveable component in response to a single input command signal from the wearer of the prosthesis.


The at least one moveable component may have a plurality of operating modes.


The prosthesis may comprise a plurality of moveable components. Each moveable component may have two or more operating modes and at least one operating parameter.


Each moveable component may have a plurality of operating parameters.


The electronic device may be operable to select one of the plurality of operating modes of the at least one moveable component and at least one operating parameter of the at least one moveable component in response to an input command signal from the wearer of the prosthesis.


The electronic device may be operable to select one of the plurality of operating modes of the at least one moveable component and at least one operating parameter of the at least one moveable component in response to a predetermined input command signal from the wearer of the prosthesis.


Each predetermined input command signal may result in selection of a corresponding predetermined operating mode of the at least one moveable component and at least one operating parameter of the at least one moveable component.


The input command signal may comprise two or more input signals from the wearer of the prosthesis. The input command signal may comprise a plurality of input signals from the wearer of the prosthesis.


The input signals from the wearer of the prosthesis may be provided via one or more switches. The switches may be analogue or digital switches. The switches may be actuated by residual movement of the wearer of the prosthesis, wrist and/or shoulder movement of the wearer of the prosthesis, movement of the remnant digits and/or knuckles, or the like.


The input signals from the wearer of the prosthesis may be provided by electrophysiological signals derived from the activity of, or from, surface electromyographic (EMG) and intramuscular activity of residual muscle actions of the wearer of the prosthesis, electroneurographic (ENG) activity of residual peripheral nerves of the wearer of the prosthesis, signals derived from one or more neural implants in the wearer of the prosthesis implanted in the brain or spinal cord, EMG activity from re-innervated muscles, muscles of the feet and/or chest, or the like.


The input signals from the wearer of the prosthesis may be provided by non-electrophysiological signals derived from the activity of pressure sensitive resistors on the wearer of the prosthesis, near infrared spectroscopy signal, or bend sensitive resistors on the wearer of the body to capture any residual movement of the digits, wrist, elbow or shoulder of the wearer of the prosthesis, or the like.


The input signals from the wearer of the prosthesis may be provided directly by signals derived from neural, spinal or muscular activity, for example, electromyographic (EMG) activity of hand muscle/forearm muscle actions, or residual muscle actions, of the wearer of the prosthesis recorded non-invasively from the surface of the skin or invasively from superficial or deep muscular structures with using needle or an array of needle electrodes. The prosthesis may be controlled by the activity of any combination of intrinsic and extrinsic hand muscle group, such as muscles in the thenar and hypothenar muscles, the interossei muscles originating between the metacarpal bones, the long flexors and extensors in the forearm, e.g. extensor pollicis longus muscle, extensor/flexor indicis muscle, or the like.


The input signals may be the results, or signature of the recorded signal of a mathematical operation on the electrophysiological or non-electrophysiological measurements from the wearer of the prosthesis. For example, if the measurement is an EMG signal, the signature of the EMG may be the amplitude or the energy of the signal.


The mathematical signatures of the EMG signal in the time domain may be: amplitude (Mean absolute value of EMG and all its variations), energy (Square integral, Variance, Root means square (RMS)), number of zero crossing, Wilson amplitude, waveform length, slope sign change, or histogram of EMG.


The mathematical signatures of the EMG signal in the frequency domain may be: autoregressive and spectral coefficients or median and mean frequency.


The mathematical signatures of the EMG signal in the time-frequency may be: coefficients of the short time Fourier transform, or discrete or continuous wavelet coefficients.


The mathematical signatures of the EMG signal in higher order statistics may be: skewness or kurtosis of EMG or any other higher even-or-odd-order statistics, entropy or negentropy.


These signatures and others may be repeated for each of the input signals to the algorithm. Any combination of static and dynamic signature extraction may also be used.


It should also be appreciated that the above signatures may be extracted and a dimensionality reduction technique may be used, such as principal component analysis, to reduce to input dimensions to 2, 3, . . . etc.


The method may comprise the further step of providing the electronic device with a predetermined operating profile of the prosthesis. The method may comprise the further step of providing the electronic device with one or more predetermined operating profiles of the prosthesis.


The or each, predetermined operating profile of the prosthesis may include an operating profile of the input command signal, operating mode of the moveable component and operating parameter(s) of the moveable component of the prosthesis.


The or each, predetermined operating profile of the prosthesis may be based on one or more input signals from the wearer of the prosthesis to produce an input command signal which results in selection of both the operating mode of the at least one moveable component and at least one operating parameter of the at least one of the moveable component.


The electronic device may be operable to modify the, or each, predetermined operating profile of the prosthesis to a modified operating profile. In this arrangement the electronic device may be operable to modify the, or each, predetermined operating profile to a new operating profile that the wearer of the prosthesis finds easier to operate. The modification of the, or each, predetermined operating profile may be reinforcement learning, iterative learning, co-adaptive control or the like.


The electronic device may be operable to switch between two or more predetermined operating profiles.


The or each, predetermined operating profile of the prosthesis may be based on one or more input signals from the wearer of the prosthesis to produce an input command signal which results in simultaneous selection of both the operating mode of the at least one moveable component and at least one operating parameter of the at least one moveable component.


The electronic device may include a predetermined operating profile of the prosthesis. The predetermined operating profile of the prosthesis may include an operating profile of the input command signal, operating mode of the moveable component and operating parameter(s) of the moveable component of the prosthesis.


The predetermined operating profile of the prosthesis may be based on one or more input signals from the wearer of the prosthesis to produce an input command signal which results in selection of both the operating mode of the at least one moveable component and at least one operating parameter of the at least one moveable component.


The predetermined operating profile of the prosthesis may be based on one or more input signals from the wearer of the prosthesis to produce an input command signal which results in simultaneous selection of both the operating mode of the at least one moveable component and at least one operating parameter of the at least one moveable component.


The method may comprise the further step of using the electronic device to produce an output signal indicative of the operative mode of the at least one moveable component and/or the operating parameter of the at least one moveable component.


The electronic device may be further operable to produce an output signal indicative of the operative mode of the at least one moveable component and/or the operating parameter of the at least one moveable component.


The electronic device may be further operable to produce an output signal indicative of the operative mode of the at least one moveable component and the operating parameters of the moveable component.


The method of the invention may comprise the further step of communicating output signal to the wearer of the prosthesis.


The electronic device may be further operable to communicate the output signal to the wearer of the prosthesis.


The output signal may be communicated to the wearer of the prosthesis visually, kinaesthetically, aurally or neurally.


The output signal may be communicated non-invasively to the wearer of the prosthesis via electro-tactile or vibro-tactile stimulation of the body skin. The electro-tactile or vibro-tactile stimulation to the body skin may be provided at the forearm, shoulder, neck, or the like.


The method may comprise the further step of using the electronic device to process the input command signal from the wearer of the prosthesis. The method may comprise the further step of using the electronic device to process the input signals from the wearer of the prosthesis.


The electronic device may be further operable to process the input command signal from the wearer of the prosthesis. The electronic device may be further operable to process the input signals from the wearer of the prosthesis.


The method may comprise the further step of using the electronic device to pre-process the input signals from the wearer of the prosthesis. The method may comprise the further step of using the electronic device to pre-process the input signals from the wearer of the prosthesis to predict the intended input command signal. The method may comprise the further step of using the electronic device to select both an operating mode of the at least one moveable component and at least one operating parameter of the at least one moveable component in response to the predicted an input command signal.


The electronic device may be further operable to pre-process the input signals from the wearer of the prosthesis. The electronic device may be further operable to pre-process the input signals from the wearer of the prosthesis to predict the intended input command signal. The electronic device may be further operable to select both an operating mode of the at least one moveable component and at least one operating parameter of the at least one moveable component in response to the predicted an input command signal.


The electronic device may include a processor. The processor may be operable to control the operation of the prosthesis. The processor may be operable to control the operation of the moveable component of the prosthesis. The processor may be operable to select both the operating mode of the at least one moveable component and at least one operating parameter of the at least one moveable component in response to the input command signal from the wearer of the prosthesis.


The electronic device may include firmware. The firmware may be operable to control the operation of the prosthesis. The firmware may be operable to control the operation of the moveable components of the prosthesis. The firmware may be operable to select both the operating mode of the at least one moveable component and at least one operating parameter of the at least one moveable component in response to the input command signal from the wearer of the prosthesis.


The processor may include the, or each, predetermined operating profile of the prosthesis.


The electronic device may be located with the prosthesis. The electronic device may be located with the wearer of the prosthesis.





BRIEF DESCRIPTION OF THE DRAWINGS

An embodiment of the invention will now be described, by way of example only, with reference to the accompanying drawings, in which:



FIG. 1 illustrates a prosthesis according to the present invention fitted to a partial-hand amputee;



FIGS. 2 to 8 illustrate a “full hand” prosthesis according to the present invention in a number of operating modes;



FIG. 9 is an illustrative example of a predetermined operating profile of the prosthesis with two input control signals;



FIG. 10 is an illustrative example of a predetermined operating profile of the prosthesis with n input control signals; and



FIG. 11 is a schematic diagram illustrating the operation of the prosthesis.



FIGS. 1 to 8 illustrate a prosthesis 10 according to the present invention. FIG. 1 illustrates a prosthesis 10a of the present invention fitted to a hand 1 of a partial-hand amputee. FIGS. 2 to 8 illustrate the prosthesis 10b of the present invention in a “full hand” configuration, which replaces the entire hand of an amputee.





DETAILED DESCRIPTION

With reference to FIG. 1, the prosthesis 10a is fitted to a partial-hand amputee that is missing their thumb and forefinger. The remaining fingers have the reference number 2. The prosthesis 10a comprises two moveable digits 12 (thumb 12a and forefinger 12b), which are examples of moveable components. The digits 12 are attached to a body part 14 (hand chassis). The body part 14 is attachable to the limb of the amputee in a known manner. The digits 12 are arranged such that they can rotate and/or pivot with respect to the body part 14. The digits 12 are powered digits, such as those disclosed in WO 2007/063266 and WO 1995/24875. The digits 12 are therefore mechanically operated digit members that are moved by an electric motor.


With reference to FIGS. 2 to 8, the “full hand” prosthesis 10b comprises a body part 14 and five digits 12 (a thumb 12a and four fingers 12b). The body part 14 is rotatably attached to an attachment component 16, which is used to attach the prosthesis 10b to the wearer. In this arrangement the prosthesis 10b is a replacement for the entire hand of the amputee.


As illustrated in FIGS. 1 to 8 and explained below, the finger digits 12b may pivot with respect to the body part 14 and, as is known in the art, flex and extend in the same manner as a human finger. In addition to flexing and extending, the thumb digit 12a may also pivot with respect to the body part 14, as illustrated in FIG. 8 and explained further below. It should also be appreciated that the body part 14 itself may be a moveable component. For example, in the case of the “full hand” prosthesis 10b of FIGS. 2 to 8, the body part 14 may rotate relative to the attachment component 16, which is fitted to the wearer of the prosthesis. The body part 14 may be motor driven with respect to the attachment component 16. In this case, the body part 14 can perform the function of “wrist rotation” in the same manner as a human hand.


As described above and as illustrated in FIGS. 1 to 8, the digits 12 of the prosthesis 10a, 10b are moveable with respect to the body part 14 such that the prosthesis 10a, 10b may provide a plurality of hand configurations, gestures and operations that are similar to those performed by a healthy human hand.



FIGS. 1 and 4 to 7 illustrate configurations of the prosthesis 10a, 10b operating in “pinch” mode, i.e. where the prosthesis 10a, 10b is operated to bring thumb digit 12a and the forefinger digit 12b into and out of contact with one another. FIG. 2 illustrates a “pointing” gesture, where the forefinger digit 12b is extended and the other finger digits 12b are “closed”. FIG. 3 illustrates a “grasp” configuration, where the prosthesis 10b would be used to hold an object. FIG. 8 illustrates a “waving” gesture, where the digits 12 are extended and the thumb digit 12a is rotated away from the body part 14. The rotation of the entire thumb digit 12a relative to the body part 14 can be seen from a comparison of FIGS. 1 and 2, for example. Again, it should be noted that the body part 14 of FIGS. 2 to 8 may rotate relative to the attachment component 16.


The configurations and gestures illustrated in FIGS. 1 to 8 may be considered to be the operating modes of the digits 12 of the prosthesis 10a, 10b. The rotation of the body part 14 relative to the attachment component 16 may also be considered as an operating mode of the body part 14 of the prosthesis 10b. The direction of rotation of the body part 14 may be considered as an operating mode thereof. The prosthesis 10a, 10b may thus be considered as having a plurality of operating modes. The operating modes are selected by the wearer of the prosthesis 10a, 10b depending on the operation they wish the prosthesis 10a, 10b to perform.


The digits 12 of the prosthesis 10a, 10b also have a number of operating parameters. That is, the digits 12 have a number of operating conditions, such as their speed of movement, acceleration, deceleration, applied force, operating duration, amount of extension, amount of flexion and angle of rotation. The body part 14 also includes a number of operating conditions, such as its speed of movement, acceleration, deceleration, applied force, operating duration and angle of rotation. The prosthesis 10a, 10b may thus be considered as having a plurality of operating parameters. The operating parameters are selected by the wearer of the prosthesis 10a, 10b depending on the operation they wish the prosthesis 10a, 10b to perform.


The prosthesis 10a, 10b also comprises an electronic device 18 which controls the operation of the digits 12 (and body part 14 for the “full hand” prosthesis 10b). The electronic device 18 includes a processor and firmware (not shown) which together control the operation of the digits 12.


The electronic device 18 may be located within the body part 14, or alternatively be located on the wearer of the prosthesis 10a, 10b.


The electronic device 18 controls the operation of the digits 12 in response to one or more input control signals from the wearer. In the embodiments illustrated and described here the input control signals are derived from electrophysiological signals derived from the activity of, or from, surface electromyographic (EMG) or intramuscular activity of residual muscle actions of the wearer of the prosthesis.


For the “partial-hand” prosthesis 10a illustrated in FIG. 1, the input control signals come from two electromyographic (EMG) sensors 20 located, for example, on the thenar muscle group 22 and the hypothenar muscle group 24. For the “full hand” prosthesis 10b illustrated in FIGS. 2 to 8, the input control signals come from two electromyographic (EMG) sensors (not shown) located on, for example, the muscle groups of the arm of the wearer. The electrophysiological signals produced from the residual muscles to which the EMG sensors 20 are attached are proportional to the activity of the muscles. Thus, the input control signals from the EMG sensors 20 allow proportional control of the digits 12 of the prosthesis 10a, 10b. For example, this allows the wearer to proportionally control the speed of the operation of the digits 12.


It should be appreciated that any number of input signals and EMG sensors 20 could be used to control the operation of the digits 12 of the prosthesis.


The electronic device 18 is operable to select both an operating mode of the digits 12 and at least one operating parameter of the digits 12 in response to an input command signal from the wearer of the prosthesis 10a, 10b. For example, the electronic device 18 is operable to select the “pinch” mode of FIG. 4 with a slow speed of movement and low pinch force of the digits 12 in response to a single input command signal from the wearer. Such an operation of the prosthesis 10b may be desired by the wearer when, for example, they wish to pick up a delicate object.


The electronic device 18 processes the input control signals from the EMG sensors 20 and produces the input command signal to control the digits 12. It is important to note that the input command signal is a single signal which selects both the operating mode and the operating parameter(s) of the digits 12 of the prosthesis 10a, 10b.


The electronic device 18 includes a predetermined operating profile 26 of the prosthesis 10a, 10b. An example predetermined operating profile 26 of the prosthesis 10a, 10b is illustrated in FIGS. 9 and 10. The predetermined operating profile 26 provides for determination of the input command signal for the electronic device 18 in response to the input control signals from the EMG sensors 20 on the wearer of the prosthesis 10a, 10b.



FIG. 9 illustrates the predetermined operating profile of a prosthesis with two input signals and FIG. 10 illustrates the predetermined operating profile of a prosthesis with n input signals. FIG. 10 is essentially an n-dimensional version of the predetermined operating profile of FIG. 9.


With reference to FIG. 9, the predetermined operating profile 26 provides an input command signal P for the electronic device 18 in response to two input control signals p1, p2 from the EMG sensors 20 on the wearer. As illustrated, the operating profile 26 is arranged into a number of areas 28. Each area 28 represents an operating mode and operating parameter of the digits 12 of the prosthesis 10a, 10b. Therefore, the input control signals p1, p2 from the EMG sensors 20 on the wearer determine which area 28 the point P lies, which, in turn, determines the input command signal P for the electronic device 18.


In the embodiment illustrated in FIG. 9 and described here, the operating profile 26 includes four segments 30a to 30d. Each segment 30a to 30d represents a different operating mode of the digits 12 of the prosthesis 10a, 10b and each area 28a to 28c represents a value or magnitude of an operating parameter of the digits 12 of the prosthesis 10a, 10b. Level 1 to m indicates, for example, the value or magnitude of the input control signals p1, p2. For example, segment 30a could represent the “pinch” mode (FIGS. 4 and 5) of the digits 12 and area 28a thereof could represent a minimum applied force of the digits 12, i.e. a strong pinch. In another example, segment 30d could represent the “point” gesture mode (FIG. 2) of the digits 12 and the area 28c thereof could represent the speed of extension of the forefinger digit 12b. However, it should be appreciated that the operating profile 26 is configurable to meet the needs, demands and/or abilities of the wearer of the prosthesis 10a, 10b. For example, the operating profile 26 may include any number of segments 30 and areas 28 therein. The number of segments 30 may be selected by the wearer depending on how many operating modes they wish to use. The number of segments 30 may only be limited by the number of operating modes that the digits 12 have. Similarly, the number of areas 28 in the segments 30 may be chosen by the wearer depending on the number of options they wish to control the operating parameter(s) of the digits 12.


With reference to FIG. 10, the use of two or more input control signals p1, p2, pn, dramatically increases the number of segments 30 and areas 28 available to the wearer of the prosthesis 10a, 10b. Each segment 30 and area 28 is again representative of a different operating mode of the digits 12 of the prosthesis 10a, 10b and a value or magnitude of an operating parameter of the digits 12 of the prosthesis 10a, 10b. Using more input control signals dramatically increases the control options and level of control offered to the wearer of the prosthesis 10a, 10b. Again, it should be appreciated that the operating profile 26 is configurable to meet the demands and/or abilities of the wearer of the prosthesis 10a, 10b.


As described above, it is important to note that the operating profile 26 is entirely configurable to meet the demands and abilities of the wearer. That is, it is not essential that the areas 28 of the operating profile 26 be arranged in any particular sequence or order, such as those illustrated and described above with reference to FIGS. 8 and 9. It is, however, important that any given area 28 is representative of a chosen operating mode and operating parameter(s) selected by the wearer of the prosthesis 10a, 10b, and that the wearer of the prosthesis 10a, 10b knows the input signals p1, p2, etc. required to obtain the input command signal P for the electronic device 18 to control the digits 12.


It is also important to note that the boundaries and the size of the areas 28 may be configured depending on the needs, demands and abilities of the wearer, or by the wearer, clinician or intelligently by the electronic control device 18.


As described above, the electronic device 18 includes the predetermined operating profile 26. The predetermined operating profile 26 is, for example, stored in the firmware of the electronic device 18. The electronic device 18 processes the input control signals p1, p2, pn, from the EMG sensors 20 on the wearer and determines the input command signal P from the operating profile 26. The electronic device 18 then uses this input command signal P to control the operation of the digits 12 of the prosthesis 10a, 10b in the manner desired by the wearer. As described above, the input command signal P is a single signal which results in selection of both the operating mode of the digits 12 of the prosthesis 10a, 10b and the operating parameters(s) of the digits 12 of the prosthesis 10a, 10b.


The electronic device 18 is also capable of pre-processing the input signals p1, p2, etc. to predict the intended input command signal P from the wearer of the prosthesis 10a, 10b. The pre-processing and prediction of the intended input command signal P is carried out by the firmware and processor of the electronic device 18. The electronic device 18 is then capable of selecting both the operating mode of the digits 12 and the operating parameter(s) of the digits 12 on the basis of the predicted input command signal P′. This function is useful where the wearer of the prosthesis 10a, 10b repeats the same action on a regular basis. It also reduces the time taken select the operating mode of the digits 12 and the operating parameter(s) of the digits 12. This “predictive” function can be switched on and off by the wearer as required.


The electronic device 18 is also capable of producing a feedback signal F to the wearer of the prosthesis 10a, 10b which is indicative of the operating mode of the digits 12 and the operating parameter(s) of the digits 12 (see FIG. 11). The feedback signal F is a signal output by the electronic device 18 which may be communicated to the wearer visually, kinaesthetically, aurally or neurally. The feedback signal F may be communicated non-invasively to the wearer of the prosthesis via electro-tactile or vibro-tactile stimulation of the body skin. The electro-tactile or vibro-tactile stimulation to the body skin may be provided at the forearm, shoulder, neck, or the like. This function is useful when, for example, the wearer cannot see the prosthesis 10a, 10b and cannot visually check that the intended operation is being carried out, i.e. that the input command signal is correct.


The prosthesis 10a, 10b may include a plurality of predetermined operating profiles 26. Each predetermined operating profile 26 may have its own arrangement of boundaries and size of the areas 28, depending on the needs, demands and abilities of the wearer, clinician or intelligently by the electronic control device 18.


The electronic device 18 is also capable of selecting a predetermined operating profile 26 from the plurality of predetermined operating profiles 26 that may be available. The electronic device 18 is also capable of switching between two predetermined operating profiles 26.


The ability to switch between two, or more, predetermined operating profiles 26 may be useful if the wearer of the prosthesis 10a, 10b becomes fatigued. The electronic device 18 may therefore be configured to switch between a “normal” mode (a first predetermined operating profile) and a “fatigue” mode (a second predetermined operating profile). The switch between the two modes may be decided by the wearer of the prosthesis 10a, 10b, or automatically decided by the electronic device 18. If the switch between the two modes is decided by the wearer, the prosthesis 10a, 10b may be provided with a mechanical switch, or the like, to effect the selection of the desired predetermined operating profile 26. If the switch between the two modes is decided by the electronic device 18, the electronic device 18 may be provided with software to effect the selection of the desired predetermined operating profile 26.


In this arrangement the prosthesis 10a, 10b is configured such that it can measure the wearer's muscle fatigue. Fatigue measurement can be via monitoring the power spectrum of the electromyogram signal in time or in the frequency domain, e.g. a decrease in median power frequency can show increase in fatigue.


Detection of the onset of fatigue can be via many approaches, such as (i) if the signature of fatigue crosses a threshold, (ii) via supervised and unsupervised pattern recognition, such as neural networks, dimensionality reduction or clustering techniques and (iii) predictive control and time series nowcasting and forecasting.


The process of adjusting for fatigue can be either via recalibration by a clinician, or intelligently by an adaptive algorithm that can re-tune the predetermined operating profile 26.


Fatigue can cause change in two parameters (or both) in the control system: (i) involuntary co-contraction of muscles that control the hand (In this case in FIG. 9, boundaries of 30a, 30b, 30c and 30d will be adjusted (manually or intelligently) to minimize the effect of fatigue.) and (ii) reduction in the amplitude of the EMG (In this case in FIG. 9, margins 28a, 28b, 28c and 28d and level 0 will be adjusted (manually or intelligently) to minimize the effect of fatigue.)


With reference to FIG. 11, the operation of the prosthesis 10a, 10b will now be described. As described above, before the prosthesis 10a, 10b can be used by the wearer it is necessary to create an operating profile 26 for the wearer. While it is possible for the wearer to be provided with an existing operating profile, it is likely that the wearer will wish to create their own operating profile 26, which, as described above, is based on their needs, abilities and available input control signal options.


An important part of the creation of the operating profile 26 is the wearer learning to use muscle groups, such as the thenar and hypothenar muscle groups, to produce the input command signal P. This activity involves the wearer using muscle groups (and potentially other input signal functions) which are non-intuitive to the wearer, i.e. there is no “intuitive” link between the input control signal and the desired function of the prosthesis 10a, 10b. That is, the movement of the digit(s) 12 can be initiated and controlled by, for example, a muscle (or a combination of n muscle activity) that does not necessarily control the function of that digit(s) before amputation, i.e. in healthy and able-bodied condition. For example, the thumb muscle can control the movement of the little finger or the wrist. However, after a period of training and learning to create and control the input signals p1, p2 etc. an operating profile 26 is created which the wearer is comfortable with and can easily use.


With reference to FIGS. 9 and 10, an example of the operational control of the prosthesis 10a, 10b will now be described. When a wearer of the prosthesis 10a, 10b is learning how to use the prosthesis 10a, 10b and how to configure their operating profile 26, the operating profile 26 may be displayed on a computer screen in real time with the input control signals p1, p2, pn producing the input command signal P on the operating profile 26. The input command signal P in this example may be considered as a cursor, which is moved around the operating profile 26 in dependence on the input control signals p1, p2, pn from the wearer.


In a rest position, i.e. where there is no input control signals p1, p2, pn from the wearer, the cursor is located at the origin O. To trigger the creation of an input command signal P the cursor should remain in an area 28 for a predetermined period. This period may be of the order of t milliseconds. With reference to FIG. 9, if the cursor is moved to, for example, area 28c, and stays there for less than t milliseconds, then quickly moves to an adjacent area 28c, and remains there for t milliseconds, then two predetermined operations are triggered one after the other. In order to avoid such rapid selection of predetermined operations, t may be set to, for example, 200 milliseconds. The value of the period t may be selected on the requirements of the wearer.


In known prostheses, if a mode of operation is triggered by EMG activity, the hand stays in that mode until the wearer changes the mode by producing, for example, some other muscle activity. In the present invention the prosthesis 10a, 10b may be operated as follows: if the segment 30d, for example, is associated with a “pinch” function and the wearer initiates a pinch function, in order to keep the pinch, the wearer should continue to produce input control signals p1, p2, pn in the same way to keep the cursor (input command signal P) in the same area 28 of the segment 30. As soon as the wearer relaxes the controlling muscles, the cursor goes back to the origin O.


The predetermined operating profile 26 may have an absolute activity threshold (Level 0) and the prosthesis 10a, 10b may have two operational conditions. In the first operation condition the operating profile 26 may have an absolute activity threshold, i.e. there is a level 0. If the input control signals p1, p2, pn are such that the cursor is below the level 0 the whole hand electronics shuts off to save energy. The microprocessors of the electronic device 18 wake up every x milliseconds to check the status. If the input control signals p1, p2, pn are such that the cursor is still below the level 0, the electronics remain switched off. If the input control signals p1, p2, pn are such that the cursor is above the level 0, the cursor is moved to this position.


The gap between the level 0 position and the level 1 position is also considered as an area 28, as described above, and results in the selection of both an operating mode and operating parameter(s) of the digits 12. This operating mode and operating parameter(s) may be, for example, a “hand open” configuration, a “thumb park” configuration, or a “predetermined natural hand configuration”. If the input control signals p1, p2, pn are such that the cursor goes through the gap between the level 0 and level 1 zones and stays there for t>200 milliseconds, the operating mode and operating parameter(s) are selected in the same manner as described above for areas 28.


If the input control signals p1, p2, pn are such that the cursor goes through the gap between the level 0 and level 1 zones and stays there for t<200 milliseconds and then travels to the area below level 0, the electronic device 18 shuts off and the prosthesis 10a, 10b is maintained in the last configuration (i.e. operating mode and parameter(s)).


To open the hand, or to go to any other relax mode of operation, e.g. natural rest, the wearer may again take the cursor to the gap area between level 0 and level 1.


In the second operation condition the operating profile 26 may not have an absolute activity threshold, i.e. there is no level 0. In this arrangement the gap between the origin O and level 1 commands a predetermined operating mode and operating parameter(s) of the prosthesis 10a, 10b, e.g. “hand open”, “thumb park”, or a “predetermined natural hand configuration”, i.e. relax mode. In this arrangement the electronic device 18 may still power down the electronics, as above.


The only difference between the first and second operating conditions is that in the second operating condition the hand does not keep the last gesture (operating mode and parameter(s)) when there are no input control signals p1, p2, pn, it opens regardless.


As illustrated in FIG. 11, input control signals p1, p2, pn are provided from the EMG sensors 20 on the wearer. The electronic device 18 acquires and processes the input control signals p1, p2, pn. The processing may include some signal processing, filtering etc., as is known in the art. The electronic device 18 then uses the operating profile 26 to determine the input command signal P from the input control signals p1, p2, pn. Once the input command signal P has been determined the electronic device 18 controls the digits 12 in the desired manner. That is, the electronic device 18 selects both the operating mode of the digits 12 and the operating parameter(s) of the digits 12 in dependence of the input command signal P. Note: the electronic device 18 may be set to predict the intended input command signal P from the wearer. If this is the case the “Adaptive Decision Making” step is performed.



FIG. 11 also illustrates the operation of the feedback signal F to the wearer. It should be noted that the feedback signal F is fed back to the wearer in the “Feedback Generator” step.


The prosthesis 10a, 10b of the present invention provides the wearer the flexibility of commanding a large number of different grip patterns (operating modes and parameters) by the provision of a single input command signal. With known prostheses, if a wearer wishes to select or change grip pattern they typically have to perform a number of individual pulse or co-contraction stages, e.g. the wearer has to provide a first input command signal to select the operating mode of the digits and then has to provide a second input command signal to select the operating parameter of the digits. Operating a prosthesis in this manner is time consuming, frustrating and tiring. The prosthesis 10a, 10b of the present invention solves this problem by allowing the operating mode and operating parameter(s) to be selected by a single input command signal.


Modification and improvements may be made to the above without departing from the scope of the present invention. For example, although the prosthesis 10a has been illustrated and described above has having two digits (thumb digit 12a and forefinger digit 12b), it should be appreciated that the prosthesis 10a may have more than two digits 12.


Furthermore, although the moveable component has mainly been referred to above as the digits 12, is should be appreciated that the moveable component may include the body part 14 to which the digits 12 are attached.


Also, although the present invention has principally been described as a prosthesis, it should also be appreciated that the invention could also be described, and is applicable to, an orthosis. That is, a further aspect of the present invention is an orthosis comprising: at least one moveable component, wherein the at least one moveable component has two or more operating modes and at least one operating parameter; and an electronic device operable to select both an operating mode of the at least one moveable component and at least one operating parameter of the at least one moveable component in response to an input command signal from the wearer of the prosthesis.


In this arrangement, the digits may be toes.


Furthermore, although the input control signals p1, p2 etc. have been described above as coming from EMG control signals 20, it should be appreciated that the input signals from the wearer of the prosthesis may be provided via one or more switches. The switches may be analogue or digital switches. The switches may be actuated by residual movement of the wearer of the prosthesis, wrist and/or shoulder movement of the wearer of the prosthesis, movement of the remnant digits and/or knuckles, or the like. The input signals from the wearer of the prosthesis may be provided by electrophysiological signals derived from the activity of, or from, surface electromyographic (EMG) and intramuscular activity of residual muscle actions of the wearer of the prosthesis, electroneurographic (ENG) activity of residual peripheral nerves of the wearer of the prosthesis, pressure sensitive resistors on the wearer of the prosthesis, signals derived from one or more neural implants in the wearer of the prosthesis implanted in the brain or spinal cord, EMG activity from reinnervated muscles, muscles of the feet and/or chest, or the like. The input signals from the wearer of the prosthesis may be provided by non-electrophysiological signals derived from the activity pressure or bend sensitive resistors on the wearer of the body to capture any residual movement digits, wrist, elbow or shoulder of the wearer of the prosthesis or the like. The input signals from the wearer of the prosthesis may be provided by signals derived from the activity of, or from, electromyographic (EMG) activity of hand muscle actions, or residual muscle actions, of the wearer of the prosthesis recorded non-invasively from the skin or invasively from deep muscular structures. The prosthesis may be controlled by the activity of any combination of intrinsic and extrinsic hand muscle group, such as muscles in the thenar and hypothenar muscles, the interossei muscles originating between the metacarpal bones, the long flexors and extensors in the forearm, e.g. extensor pollicis longus muscle, extensor/flexor indicis muscle, or the like.


Also, it should be appreciated that the input control signals p1, p2 etc. may be produced from any combination of the above-referenced input signal options.


Furthermore, although the electronic device has been described above as being operable to select both an operating mode and an operating parameter(s) of the digits in response to an input command signal from the wearer, it should be appreciated that the electronic device may be operable to select one or more sequences of operating modes and operating parameter(s) of the digits in response to an input command signal from the wearer. This would allow the wearer to perform, for example, a number of tasks in a chosen order, such as the gesture point of FIG. 2 followed by the gesture wave of FIG. 8.

Claims
  • 1. A prosthetic device comprising: a moveable digit;memory storing an operating profile, wherein the operating profile comprises a plurality of sets of ranges, each set of ranges of the plurality of sets of ranges corresponding to a different combination of a respective hand gesture of the moveable digit and a magnitude of an operating parameter for the respective hand gesture; andat least one processor configured to: receive a plurality of input control signals from a plurality of electromyography (EMG) sensors;determine a single input command signal based at least in part on the plurality of input control signals;concurrently select a particular hand gesture and a particular magnitude of an operating parameter for the particular hand gesture based on a comparison of the single input command signal with the operating profile, wherein the particular hand gesture and the particular magnitude of the operating parameter are selected based on a particular set of ranges of the plurality of sets of ranges that corresponds to the single input command signal; andinstruct the moveable digit to perform a digit movement corresponding to the selected hand gesture at or with the selected magnitude of the operating parameter.
  • 2. The prosthetic device of claim 1, wherein the operating parameter comprises at least one of speed, acceleration, deceleration, applied force, operating duration, amount of extension, amount of flexion, or angle of rotation associated with the particular hand gesture.
  • 3. The prosthetic device of claim 1, wherein the plurality of input control signals comprises at least three control signals and wherein the plurality of EMG sensors comprises at least three EMG sensors.
  • 4. The prosthetic device of claim 1, wherein the operating profile corresponds to at least three hand gestures.
  • 5. The prosthetic device of claim 1, wherein the moveable digit comprises at least two moveable digits.
  • 6. The prosthetic device of claim 1, wherein instructing the moveable digit to perform the digit movement causes the moveable digit to transition directly from a current hand gesture to the selected hand gesture.
  • 7. The prosthetic device of claim 1, wherein the selected hand gesture comprises at least one of open, close, pinch, point, grasp or wave.
  • 8. The prosthetic device of claim 1, wherein the at least one processor is further configured to communicate a feedback signal to a wearer of the prosthetic device, the feedback signal indicative of the selected hand gesture and the selected magnitude of the operating parameter.
  • 9. The prosthetic device of claim 8, wherein the feedback signal is communicated to the wearer of the prosthetic device visually, kinaesthetically, aurally or neurally.
  • 10. The prosthetic device of claim 8, wherein the feedback signal is communicated non-invasively to the wearer of the prosthetic device via electro-tactile or vibro-tactile stimulation of skin of the wearer of the prosthetic device.
  • 11. A prosthetic device comprising: a moveable digit;memory storing an operating profile, wherein the operating profile comprises a plurality of ranges, each range of the plurality of ranges corresponding to a different combination of a particular hand gesture of the moveable digit of the prosthetic device and a magnitude of an operating parameter of the particular hand gesture; andat least one processor configured to: receive a first input control signal from a first EMG sensor,receive a second input control signal from a second EMG sensor,identify a range of the plurality of ranges of the operating profile that corresponds to both the first input control signal and the second input control signal,determine a selected hand gesture from at least three hand gestures based on the identified range of the operating profile,determine a selected magnitude of the operating parameter based on the identified range of the operating profile, andcause the moveable digit to transition directly from a current hand gesture to the selected hand gesture of the at least three hand gestures at or with the selected magnitude of the operating parameter.
  • 12. The prosthetic device of claim 11, wherein the operating parameter comprises at least one of speed, acceleration, deceleration, applied force, operating duration, amount of extension, amount of flexion, or angle of rotation associated with the particular hand gesture.
  • 13. The prosthetic device of claim 11, wherein the at least one processor is further configured to: receive a third input control signal from a third EMG sensor,wherein to identify the range, the at least one processor is further configured to identify a range that corresponds to the first input control signal, the second input control signal, and the third input control signal.
  • 14. The prosthetic device of claim 11, wherein the moveable digit comprises at least two moveable digits.
  • 15. The prosthetic device of claim 11, wherein the selected hand gesture comprises at least one of open, close, pinch, point, grasp or wave.
  • 16. A method of operating a prosthetic device that includes a moveable digit, the method comprising: receiving a plurality of input control signals from a plurality of electromyography (EMG) sensors;determining a single input command signal based at least in part on the plurality of input control signals;selecting an operating profile from a plurality of operating profiles based at least in part on user fatigue;concurrently selecting a particular hand gesture and a particular magnitude of an operating parameter for the particular hand gesture based on a comparison of the single input command signal with the selected operating profile,wherein the selected operating profile comprises a plurality of ranges, each range of the plurality of ranges corresponding to a different combination of a respective hand gesture of the moveable digit of the prosthetic device and a magnitude of an operating parameter for the respective hand gesture, and wherein a quantity of the plurality of ranges of the selected operating profile is different from a quantity of the plurality of ranges of at least one other operating profile of the plurality of operating profiles,wherein the particular hand gesture and the particular magnitude of an operating parameter are selected based on a particular range of the plurality of ranges that corresponds to the single input command signal; andinstructing the moveable digit to perform a digit movement corresponding to the selected hand gesture at or with the selected magnitude of the operating parameter.
  • 17. The method of claim 16, wherein the operating parameter comprises at least one of speed, acceleration, deceleration, applied force, operating duration, amount of extension, amount of flexion, or angle of rotation associated with the particular hand gesture.
  • 18. The method of claim 16, wherein said instructing the moveable digit to perform the digit movement causes the moveable digit to transition directly from a current hand gesture to the selected hand gesture.
  • 19. The method of claim 16, wherein the selected hand gesture comprises at least one of open, close, pinch, point, grasp or wave.
Priority Claims (1)
Number Date Country Kind
1302025 Feb 2013 GB national
INCORPORATION BY REFERENCE TO ANY PRIORITY APPLICATIONS

This application is a continuation of U.S. patent application Ser. No. 14/765,638, filed Aug. 4, 2015, entitled “Multi-Modal Upper Limb Prosthetic Device Control Using Myoelectric Signals,” which is a U.S. national stage application of International Patent App. No. PCT/GB2014/050331, filed Feb. 5, 2014, which claims priority to and benefit of G.B. Application No. 1302025.0, filed on Feb. 5, 2013, entitled “Prosthetics,” each of which is hereby incorporated herein by reference in its entirety.

US Referenced Citations (246)
Number Name Date Kind
1507682 Pecorella et al. Sep 1924 A
2445711 Fitch Jul 1948 A
2477463 Otterman Jul 1949 A
2482555 Otterman Sep 1949 A
2508156 Gillman May 1950 A
2516791 Motis et al. Jul 1950 A
2592842 Alderson Apr 1952 A
2669727 Opuszenski Feb 1954 A
2983162 Musser May 1961 A
3406584 Roantree Oct 1968 A
3509583 Fraioli May 1970 A
3683423 Crapanzano Aug 1972 A
3751995 Carlson Aug 1973 A
3822418 Popov et al. Jul 1974 A
3837010 Prout Sep 1974 A
3866246 Seamone et al. Feb 1975 A
3883900 Jerard et al. May 1975 A
3922930 Fletcher et al. Dec 1975 A
4030141 Graupe Jun 1977 A
4044274 Ohm Aug 1977 A
4114464 Schubert et al. Sep 1978 A
4197592 Klein Apr 1980 A
4213467 Stulen Jul 1980 A
4398110 Flinchbaugh et al. Aug 1983 A
4409529 Basford et al. Oct 1983 A
4558704 Petrofsky Dec 1985 A
4577127 Ferree et al. Mar 1986 A
4623354 Childress et al. Nov 1986 A
4678952 Peterson et al. Jul 1987 A
4808187 Patterson et al. Feb 1989 A
4813303 Beezer et al. Mar 1989 A
4822238 Kwech Apr 1989 A
4955918 Lee Sep 1990 A
4960425 Yan et al. Oct 1990 A
4990162 LeBlanc et al. Feb 1991 A
5020162 Kersten et al. Jun 1991 A
5062673 Mimura Nov 1991 A
5088125 Ansell et al. Feb 1992 A
5133775 Chen Jul 1992 A
5246463 Giampapa Sep 1993 A
5252102 Singer et al. Oct 1993 A
5255188 Telepko Oct 1993 A
5387245 Fay et al. Feb 1995 A
5413454 Movsesian May 1995 A
5413611 Haslam, II et al. May 1995 A
5498472 Gold Mar 1996 A
5501498 Ulrich Mar 1996 A
5581166 Eismann et al. Dec 1996 A
5785960 Rigg et al. Jul 1998 A
5851194 Fratrick Dec 1998 A
5852675 Matsuo et al. Dec 1998 A
5888213 Sears et al. Mar 1999 A
5888246 Gow Mar 1999 A
5900714 Dubhashi et al. May 1999 A
6111973 Holt et al. Aug 2000 A
6175962 Michelson Jan 2001 B1
6223615 Huck May 2001 B1
6244873 Hill et al. Jun 2001 B1
6344062 Abboudi et al. Feb 2002 B1
6361570 Gow Mar 2002 B1
6494662 De Montalembert Dec 2002 B1
6589287 Lundborg Jul 2003 B2
6660042 Curcie et al. Dec 2003 B1
6660043 Kajitani et al. Dec 2003 B2
6684754 Comer Feb 2004 B2
6786112 Ruttor Sep 2004 B2
7056297 Dohno et al. Jun 2006 B2
7144430 Archer et al. Dec 2006 B2
7243569 Takahashi et al. Jul 2007 B2
7316304 Heravi et al. Jan 2008 B2
7316795 Knauss Jan 2008 B1
7370896 Anderson et al. May 2008 B2
7373721 Bergamasco et al. May 2008 B2
7640680 Castro Jan 2010 B1
7823475 Hirabayashi et al. Nov 2010 B2
7828857 Farnsworth et al. Nov 2010 B2
7867287 Puchhammer Jan 2011 B2
7922773 Kuiken Apr 2011 B1
8016893 Weinberg et al. Sep 2011 B2
8100986 Puchhammer et al. Jan 2012 B2
8197554 Whiteley et al. Jun 2012 B2
8257446 Puchhammer Sep 2012 B2
8337568 Macduff Dec 2012 B2
8396546 Hirata et al. Mar 2013 B2
8491666 Schulz Jul 2013 B2
8579991 Puchhammer Nov 2013 B2
8593255 Pang et al. Nov 2013 B2
8657887 Gill Feb 2014 B2
8662552 Torres-Jara Mar 2014 B2
8663339 Inschlag et al. Mar 2014 B2
8690963 Puchhammer Apr 2014 B2
8696763 Gill Apr 2014 B2
8739315 Baacke Jun 2014 B2
8803844 Green et al. Aug 2014 B1
8808397 Gow Aug 2014 B2
8821587 Lanier et al. Sep 2014 B2
8828096 Gill Sep 2014 B2
8840680 Goldfarb et al. Sep 2014 B2
8986395 McLeary Mar 2015 B2
8995760 Gill Mar 2015 B2
9034055 Vinjamuri et al. May 2015 B2
9072616 Schulz Jul 2015 B2
9114030 van der Merwe et al. Aug 2015 B2
9121699 van der Merwe et al. Sep 2015 B2
9174339 Goldfarb et al. Nov 2015 B2
9265625 Goldfarb et al. Feb 2016 B2
9278012 Gill Mar 2016 B2
9387095 McLeary et al. Jul 2016 B2
9402749 Gill et al. Aug 2016 B2
9463100 Gill Oct 2016 B2
9707103 Thompson, Jr. et al. Jul 2017 B2
9720515 Wagner et al. Aug 2017 B2
9730815 Goldfarb et al. Aug 2017 B2
9826933 van der Merwe et al. Nov 2017 B2
9839534 Lipsey et al. Dec 2017 B2
9901465 Lanier, Jr. et al. Feb 2018 B2
9931230 Sikdar et al. Apr 2018 B2
9999522 Gill Jun 2018 B2
10265197 Gill et al. Apr 2019 B2
10318863 Lock et al. Aug 2019 B2
10369016 Lipsey et al. Aug 2019 B2
10369024 Gill Aug 2019 B2
10398576 Gill et al. Sep 2019 B2
10449063 Gill Oct 2019 B2
10610385 Meijer et al. Apr 2020 B2
11185426 Gill et al. Nov 2021 B2
11234842 Gill et al. Feb 2022 B2
11259941 Gill et al. Mar 2022 B2
20010023058 Jung et al. Sep 2001 A1
20020016631 Marchitto et al. Feb 2002 A1
20020135241 Kobayashi et al. Sep 2002 A1
20030036805 Senior Feb 2003 A1
20030191454 Niemeyer Oct 2003 A1
20040002672 Carlson Jan 2004 A1
20040054423 Martin Mar 2004 A1
20040078091 Elkins Apr 2004 A1
20040078299 Down-Logan et al. Apr 2004 A1
20040103740 Townsend et al. Jun 2004 A1
20040181289 Bedard et al. Sep 2004 A1
20040182125 McLean Sep 2004 A1
20050021154 Brimalm Jan 2005 A1
20050021155 Brimalm Jan 2005 A1
20050093997 Dalton et al. May 2005 A1
20050101693 Arbogast et al. May 2005 A1
20050192677 Ragnarsdottir et al. Sep 2005 A1
20060029909 Kaczkowski Feb 2006 A1
20060054782 Olsen et al. Mar 2006 A1
20060158146 Tadano Jul 2006 A1
20060167564 Flaherty et al. Jul 2006 A1
20060212129 Lake et al. Sep 2006 A1
20060229755 Kuiken et al. Oct 2006 A1
20060251408 Konno et al. Nov 2006 A1
20070032884 Veatch Feb 2007 A1
20070058860 Harville et al. Mar 2007 A1
20070061111 Jung et al. Mar 2007 A1
20070071314 Bhatti et al. Mar 2007 A1
20070175681 King et al. Aug 2007 A1
20070230832 Usui et al. Oct 2007 A1
20070260328 Bertels et al. Nov 2007 A1
20070276303 Jenner Nov 2007 A1
20080058668 Seyed Momen et al. Mar 2008 A1
20080097269 Weinberg et al. Apr 2008 A1
20080146981 Greenwald et al. Jun 2008 A1
20080215162 Farnsworth et al. Sep 2008 A1
20080260218 Smith et al. Oct 2008 A1
20080262634 Puchhammer Oct 2008 A1
20090213379 Carroll et al. Aug 2009 A1
20090302626 Dollar et al. Dec 2009 A1
20100016990 Kurtz Jan 2010 A1
20100116078 Kim May 2010 A1
20100274365 Evans et al. Oct 2010 A1
20100328049 Frysz et al. Dec 2010 A1
20110048098 Rollins et al. Mar 2011 A1
20110136376 Johnson et al. Jun 2011 A1
20110203027 Flather et al. Aug 2011 A1
20110237381 Puchhammer Sep 2011 A1
20110257765 Evans et al. Oct 2011 A1
20110264238 van der Merwe et al. Oct 2011 A1
20110265597 Long Nov 2011 A1
20110278061 Farnan Nov 2011 A1
20120004884 Fillol et al. Jan 2012 A1
20120014571 Wong et al. Jan 2012 A1
20120061155 Berger et al. Mar 2012 A1
20120099788 Bhatti et al. Apr 2012 A1
20120109337 Schulz May 2012 A1
20120123558 Gill May 2012 A1
20120204665 Baudasse Aug 2012 A1
20120221122 Gill et al. Aug 2012 A1
20120280812 Sheikman et al. Nov 2012 A1
20120286629 Johnson et al. Nov 2012 A1
20120303136 Macduff Nov 2012 A1
20120330439 Goldfarb et al. Dec 2012 A1
20130041476 Schulz Feb 2013 A1
20130053984 Hunter et al. Feb 2013 A1
20130076699 Spencer Mar 2013 A1
20130144197 Ingimundarson et al. Jun 2013 A1
20130253705 Goldfarb et al. Sep 2013 A1
20130268090 Goldfarb et al. Oct 2013 A1
20130268094 Van Wiemeersch Oct 2013 A1
20130310949 Goldfarb et al. Nov 2013 A1
20140236314 Van Wiemeersch Aug 2014 A1
20140251056 Preuss Sep 2014 A1
20140324189 Gill et al. Oct 2014 A1
20140371871 Farina et al. Dec 2014 A1
20150142082 Simon et al. May 2015 A1
20150183069 Lee Jul 2015 A1
20150216679 Lipsey et al. Aug 2015 A1
20150216681 Lipsey et al. Aug 2015 A1
20150230941 Jury Aug 2015 A1
20150328019 Park et al. Nov 2015 A1
20150351935 Donati et al. Dec 2015 A1
20150360369 Ishikawa et al. Dec 2015 A1
20160120664 Schultz May 2016 A1
20160143751 Chestek et al. May 2016 A1
20160166409 Goldfarb et al. Jun 2016 A1
20160250044 Iversen et al. Sep 2016 A1
20160287422 Kelly et al. Oct 2016 A1
20170007424 Gill Jan 2017 A1
20170049583 Belter et al. Feb 2017 A1
20170049586 Gill et al. Feb 2017 A1
20170203432 Andrianesis Jul 2017 A1
20170209288 Veatch Jul 2017 A1
20170281368 Gill Oct 2017 A1
20170340459 Mandelbaum Nov 2017 A1
20180014744 Duerstock et al. Jan 2018 A1
20180064563 Gill Mar 2018 A1
20180071115 Lipsey et al. Mar 2018 A1
20180116829 Gaston et al. May 2018 A1
20180168477 Graimann et al. Jun 2018 A1
20180168830 Evans et al. Jun 2018 A1
20180192909 Einarsson et al. Jul 2018 A1
20180221177 Kaltenbach et al. Aug 2018 A1
20180235782 Choi et al. Aug 2018 A1
20180256365 Bai Sep 2018 A1
20180296368 Gill Oct 2018 A1
20190091040 Gill Mar 2019 A1
20190183661 Gill Jun 2019 A1
20190209345 LaChappelle Jul 2019 A1
20190216618 Gill Jul 2019 A1
20190298551 Gibbard et al. Oct 2019 A1
20190343660 Gill Nov 2019 A1
20190380846 Lipsey et al. Dec 2019 A1
20200054466 Gill et al. Feb 2020 A1
20200197193 Byrne et al. Jun 2020 A1
20220133510 Yeudall et al. May 2022 A1
20220151805 Gill et al. May 2022 A1
Foreign Referenced Citations (93)
Number Date Country
1803413 Jul 2006 CN
106994694 Aug 2017 CN
111067677 Apr 2020 CN
309 367 Nov 1918 DE
24 34 834 Feb 1976 DE
198 54 762 Jun 2000 DE
101 05 814 Sep 2002 DE
203 15 575 Jan 2004 DE
10 2012 009 699 Nov 2013 DE
0 145 504 Jun 1985 EP
0 219 478 Apr 1987 EP
0 256 643 Feb 1988 EP
0 484 173 May 1992 EP
0 947 899 Oct 1999 EP
0 968 695 Jan 2000 EP
1 043 003 Oct 2000 EP
1 617 103 Jan 2006 EP
2 532 927 Dec 2012 EP
2 612 619 Jul 2013 EP
2 653 137 Oct 2013 EP
2 114 316 Jul 2014 EP
2 125 091 Apr 2016 EP
2 467 101 Apr 2016 EP
2 696 814 Jan 2017 EP
326 970 Mar 1930 GB
607 001 Feb 1947 GB
1 386 942 Mar 1975 GB
1 510 298 May 1978 GB
1 585 256 Feb 1981 GB
2 067 074 Jul 1981 GB
2 146 406 Apr 1985 GB
2 302 949 May 1997 GB
2 357 725 Jul 2001 GB
2 444 679 Jun 2008 GB
53-011456 Feb 1978 JP
53-094693 Aug 1978 JP
07-174631 Jul 1995 JP
2001-082913 Mar 2001 JP
2001-299448 Oct 2001 JP
2002-131135 May 2002 JP
2002-310242 Oct 2002 JP
2003-134526 May 2003 JP
2004-073802 Mar 2004 JP
2004-224280 Aug 2004 JP
WO 95024875 Sep 1995 WO
WO 96023643 Aug 1996 WO
WO 00025840 May 2000 WO
WO 00069375 Nov 2000 WO
WO 01004838 Jan 2001 WO
WO 02049534 Jun 2002 WO
WO 03017877 Mar 2003 WO
WO 03017878 Mar 2003 WO
WO 03017880 Mar 2003 WO
WO 2006058190 Jun 2006 WO
WO 2006069264 Jun 2006 WO
WO 2006078432 Jul 2006 WO
WO 2006086504 Aug 2006 WO
WO 2006092604 Sep 2006 WO
WO 2006110790 Oct 2006 WO
WO 2007063266 Jun 2007 WO
WO 2007076764 Jul 2007 WO
WO 2007076765 Jul 2007 WO
WO 2007126854 Nov 2007 WO
WO 2007127973 Nov 2007 WO
WO 2008044052 Apr 2008 WO
WO 2008044207 Apr 2008 WO
WO 2008092695 Aug 2008 WO
WO 2008098059 Aug 2008 WO
WO 2008098072 Aug 2008 WO
WO 2009011682 Jan 2009 WO
WO 2010018358 Feb 2010 WO
WO 2010051798 May 2010 WO
WO 2010149967 Dec 2010 WO
WO 2011001136 Jan 2011 WO
WO 2011022569 Feb 2011 WO
WO 2011036473 Mar 2011 WO
WO 2011036626 Mar 2011 WO
WO 2011088964 Jul 2011 WO
WO 2011107778 Sep 2011 WO
WO 2011143004 Nov 2011 WO
WO 2012071343 May 2012 WO
WO 2014111843 Jul 2014 WO
WO 2014122455 Aug 2014 WO
WO 2015120076 Aug 2015 WO
WO 2015120083 Aug 2015 WO
WO 2016051138 Apr 2016 WO
WO 2017061879 Apr 2017 WO
WO 2017137930 Aug 2017 WO
WO 2018054945 Mar 2018 WO
WO 2018132711 Jul 2018 WO
WO 2018178420 Oct 2018 WO
WO 2018218129 Nov 2018 WO
WO 2020113082 Jun 2020 WO
Non-Patent Literature Citations (109)
Entry
Albu-Schaffer et al., “Soft Robotics”, IEEE Robotics & Automation Magazine, Sep. 2008, vol. 15, No. 3, pp. 20-30.
Antonio et al., “A Virtual Upper Limb Prosthesis as a Training System”, 7th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE 2010) Tuxtla Gutiérrez, Chiapas, México. Sep. 8-10, 2010, pp. 210-215.
Bellman et al., “SPARKy 3: Design of an Active Robotic Ankle Prosthesis with Two Actuated Degrees of Freedom Using Regenerative Kinetics”, in Proceedings of the 2nd Biennial IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics, Oct. 19-22, 2008, Scottsdale, AZ, pp. 511-516.
Belter et al., “Mechanical Design and Performance Specifications of Anthropomorphic Prosthetic Hands: A Review”, JRRD, Jan. 2013, vol. 50, No. 5, pp. 599-617.
Biddiss et al., “Consumer Design Priorities for Upper Limb Prosthetics”, Disability and Rehabilitation: Assistive Technology, Nov. 2007, vol. 2, No. 6, pp. 346-357.
Biddiss et al., “Upper Limb Prosthesis Use and Abandonment: A Survey of the Last 25 Years”, Prosthetics and Orthotics International, Sep. 2007, vol. 31, No. 3, pp. 236-257.
Biddiss et al., “Upper-Limb Prosthetics: Critical Factors in Device Abandonment”, American Journal of Physical Medicine & Rehabilitation, Dec. 2007, vol. 86, No. 12, pp. 977-987.
Chicoine et al., “Prosthesis-Guided Training of Pattern Recognition-Controlled Myoelectric Prosthesis”, in Proceedings of the 34th Annual International Conference of the IEEE EMBS, San Diego, CA, Aug. 28-Sep. 1, 2012, pp. 1876-1879.
Childress et al., “Control of Limb Prostheses”, American Academy of Orthopaedic Surgeons, Chapter 12, pp. 173-195, 2004.
Choi et al., “Design of High Power Permanent Magnet Motor with Segment Rectangular Copper Wire and Closed Slot Opening on Electric Vehicles”, IEEE Transactions on Magnetics, Jun. 2010, vol. 46, No. 9, pp. 2070-2073.
Cipriani et al., “On the Shared Control of an EMG-Controlled Prosthetic Hand: Analysis of User-Prosthesis Interaction”, IEEE Transactions on Robotics, Feb. 2008, vol. 24, No. 1, pp. 170-184.
Connolly, “Prosthetic Hands from Touch Bionics”, Industrial Robot, Emerald Group Publishing Limited, 2008, vol. 35, No. 4, pp. 290-293.
Controzzi et al., “Miniaturized Non-Back-Drivable Mechanism for Robotic Applications”, Mechanism and Machine Theory, Oct. 2010, vol. 45, No. 10, pp. 1395-1406.
Damian et al., “Artificial Tactile Sensing of Position and Slip Speed by Exploiting Geometrical Features”, IEEE/ASME Transactions on Mechatronics, Feb. 2015, vol. 20, No. 1, pp. 263-274.
“DC Circuit Theory”, https://www.electronics-tutorials.ws/dccircuits/dcp_1.html, Date verified by the Wayback Machine Apr. 23, 2013, pp. 16.
Dechev et al., “Multiple Finger, Passive Adaptive Grasp Prosthetic Hand”, Mechanism and Machine Theory, Oct. 1, 2001, vol. 36, No. 10, pp. 1157-1173.
Dellorto, Danielle, “Bionic Hands Controlled by iPhone App”, CNN, Apr. 12, 2013, pp. 4 http://www.cnn.com/2013/04/12/health/bionic-hands.
“DuPont Engineering Design—The Review of DuPont Engineering Polymers in Action”, http://www.engpolymer.co.kr/x_data/magazine/engdesign07_2e.pdf, 2007, pp. 16.
Engeberg et al., “Adaptive Sliding Mode Control for Prosthetic Hands to Simultaneously Prevent Slip and Minimize Deformation of Grasped Objects,” IEEE/ASME Transactions on Mechatronics, Feb. 2013, vol. 18, No. 1, pp. 376-385.
Fougner et al., “Control of Upper Limb Prostheses: Terminology and Proportional Myoelectric Control—A Review”, IEEE Transactions on Neural Systems Rehabilitation Engineering, Sep. 2012, vol. 20, No. 5, pp. 663-677.
Fukuda et al., “Training of Grasping Motion Using a Virtual Prosthetic Control System”, 2010 IEEE International Conference on Systems Man and Cybernetics (SMC), Oct. 10-13, 2010, pp. 1793-1798.
Gaine et al., “Upper Limb Traumatic Amputees. Review of Prosthetic Use”, The Journal of Hand Surgery, Feb. 1997, vol. 22B, No. 1, pp. 73-76.
Grip Chips™, Datasheet, May 15, 2014, Issue 1, http://touchbionics.com/sites/default/files/files/Grip%20Chip%20datasheet%20May%202014.pdf, pp. 1.
Heckathorne, Craig W., “Components for Electric-Powered Systems”, American Academy of Orthopaedic Surgeons, Chapter 11, pp. 145-171, 2004.
Hojjat et al., “A Comprehensive Study on Capabilities and Limitations of Roller-Screw with Emphasis on Slip Tendency”, Mechanism and Machine Theory, 2009, vol. 44, No. 10, pp. 1887-1899.
Hsieh, Chiu-Fan., “Dynamics Analysis of Cycloidal Speed Reducers with Pinwheel and Nonpinwheel Designs”, ASME Journal of Mechanical Design, Sep. 2014, vol. 136, No. 9, pp. 091008-1-091008-11.
Jebsen et al., “An Objective and Standardized Test of Hand Function”, Archives of Physical Medicine and Rehabilitation, Jun. 1969, vol. 50, No. 6, pp. 311-319.
Johannes et al., “An Overview of the Developmental Process for the Modular Prosthetic Limb,” John Hopkins APL Technical Digest, 2011, vol. 30, No. 3, pp. 207-216.
Kent et al., “Electromyogram Synergy Control of a Dexterous Artificial Hand to Unscrew and Screw Objects”, Journal of Neuroengineering and Rehabilitation, 2014, vol. 11, No. 1, pp. 1-20.
Kermani et al., “Friction Identification and Compensation in Robotic Manipulators”, IEEE Transactions on Instrumentation and Measurement, Dec. 2007, vol. 56, No. 6, pp. 2346-2353.
Kuiken et al., “Targeted Muscle Reinnervation for Real-Time Myoelectric Control of Multifunction Artificial Arms”, JAMA, Feb. 11, 2009, vol. 301, No. 6, pp. 619-628.
Kyberd et al., “Two-Degree-of-Freedom Powered Prosthetic Wrist”, Journal of Rehabilitation Research & Development, 2011, vol. 48, No. 6, pp. 609-617.
Lamounier et al., “On the Use of Virtual and Augmented Reality for Upper Limb Prostheses Training and Simulation”, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Aug. 31-Sep. 4, 2010, pp. 2451-2454.
Light et al., “Establishing a Standardized Clinical Assessment Tool of Pathologic and Prosthetic Hand Function: Normative Data, Reliability, and Validity”, Archives of Physical Medicine and Rehabilitation, Jun. 2002, vol. 83, pp. 776-783.
Mace et al., “Augmenting Neuroprosthetic Hand Control Through Evaluation of a Bioacoustic Interface”, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Tokyo, Japan, Nov. 3-7, 2013, pp. 7.
Majd et al., “A Continuous Friction Model for Servo Systems with Stiction”, in Proceedings of the IEEE Conference on Control Applications, 1995, pp. 296-301.
Martinez-Villalpando et al., “Agonist-Antagonist Active Knee Prosthesis: A Preliminary Study in Level-Ground Walking”, Journal of Rehabilitation Research & Development, vol. 46, No. 3, 2009, pp. 361-374.
Maxon Precision Motors, Inc., “Maxon Flat Motor: EX 10 flat 10 mm, brushless, 0.25 Watt”, Specification, May 2011, p. 181.
Maxon Precision Motors, Inc., “Maxon EC Motor: EC10 10 mm, brushless, 8 Watt”, Specification, May 2011, p. 140.
Miller et al., “Summary and Recommendations of the Academy's State of the Science Conference on Upper Limb Prosthetic Outcome Measures”, Journal of Prosthetics Orthotics, 2009, vol. 21, pp. 83-89.
Montagnani et al., “Is it Finger or Wrist Dexterity that is Missing in Current Hand Prostheses?”, IEEE Transactions on Neural Systems and Rehabilitation Engineering, Jul. 2015, vol. 23, No. 4, pp. 600-609.
Morita et al., “Development of 4-D.O.F. Manipulator Using Mechanical Impedance Adjuster”, Proceedings of the 1996 IEEE International Conference on Robotics and Automation, Minneapolis, MN, Apr. 1996, pp. 2902-2907.
Ninu et al., “Closed-Loop Control of Grasping with a Myoelectric Hand Prosthesis: Which are the Relevant Feedback Variable for Force Control?” IEEE Transactions on Neural Systems and Rehabilitation Engineering, Sep. 2014, vol. 22, No. 5, pp. 1041-1052.
Osborn et al., “Utilizing Tactile Feedback for Biomimetic Grasping Control in Upper Limb Prostheses”. Department of Biomedical Engineering, Johns Hopkins University, Baltimore, USA, 2013, pp. 4.
Pedrocchi et al., “MUNDUS Project: Multimodal Neuroprosthesis for Daily Upper Limb Support”, Journal of Neuroengineering and Rehabilitation, 2013, vol. 10, No. 66, pp. 20. http://www.jneuroengrehab.com/content/10/1/66.
Pinzur et al., “Functional Outcome Following Traumatic Upper Limb Amputation and Prosthetic Limb Fitting”, J. Hand Surgery, Amer. vol. 1994. vol. 19, pp. 836-839.
Press Release, “Touch Bionics Introduce Digitally Controlled Supro Wrist”, http://www.touchbionics.com/news-events/news/touch-bionics-introduce-digitally-controlled-supro-wrist, May 3, 2016 in 2 pages.
Raspopovic et al., “Restoring Natural Sensory Feedback in Real-Time Bidirectional Hand Prostheses”, Science Translational Medicine, Feb. 5, 2014, vol. 6, No. 222, pp. 1-10.
Resnik et al., “The DEKA Arm: Its Features, Functionality, and Evolution During the Veterans Affairs Study to Optimize the DEKA Arm”, Prosthetics and Orthotics International, 2014, vol. 38, No. 6, pp. 492-504.
Scheme et al., “Electromyogram Pattern Recognition for Control of Powered Upper-Limb Prostheses: State of the Art and Challenges for Clinical Use”, Journal of Rehabilitation Research & Development (JRRD), 2011, vol. 48, No. 6, pp. 643-659.
Scheme et al., “Motion Normalized Proportional Control for Improved Pattern Recognition-Based Myoelectric Control”, IEEE Transactions on Neural Systems and Rehabilitation Engineering, Jan. 2014, vol. 22, No. 1, pp. 149-157.
Sensinger et al., “Cycloid vs. Harmonic Drives for use in High Ratio, Single Stage Robotic Transmissions”, 2012 IEEE Conference on Robotics and Automation (ICRA), Saint Paul, MN, USA, May 14-18, 2012, pp. 4130-4135.
Sensinger, “Efficiency of High-Sensitivity Gear Trains, such as Cycloid Drives”, Journal of Mechanical Design, Jul. 2013, vol. 135, No. 7, pp. 071006-1-071006-9.
Sensinger et al., “Exterior vs. Interior Rotors in Robotic Brushless Motors”, 2011 IEEE International Conference on Robotics and Automation (ICRA), Shanghai, China, May 9-13, 2011, pp. 2764-2770.
Sensinger, “Selecting Motors for Robots Using Biomimetic Trajectories: Optimum Benchmarks, Windings, and other Considerations,” 2010 IEEE International Conference on Robotics and Automation (ICRA), Anchorage, AL, USA, May 3-8, 2010, pp. 4175-4181.
Sensinger, “Unified Approach to Cycloid Drive Profile, Stress, and Efficiency Optimization”, Journal of Mechanical Design, Feb. 2010, vol. 132, pp. 024503-1-024503-5.
Sensinger et al., “User-Modulated Impedance Control of a Prosthetic Elbow in Unconstrained, Perturbed Motion”, IEEE Transactions on Biomedical Engineering, Mar. 2008, vol. 55, No. 3, pp. 1043-1055.
Stix, Gary, “Phantom Touch: Imbuing a Prosthesis with Manual Dexterity”, Scientific American, Oct. 1998, pp. 41 & 44.
“Supro Wrist”, Touch Bionics, https://web.archive.org/web/20160928141440/http://www.touchbionics.com/products/supro-wrist as archived Sep. 28, 2016 in 3 pages.
Sutton et al., “Towards a Universal Coupler Design for Modern Powered Prostheses”, MEC 11 Raising the Standard, Proceedings of the 2011 MyoElectric Controls/Powered Prosthetics Symposium Frederiction, New Brunswick, Canada, Aug. 14-19, 2011, pp. 5.
Tan et al., “A Neural Interface Provides Long-Term Stable Natural Touch Perception”, Science Translational Medicine, Oct. 8, 2014, vol. 6, No. 257, pp. 1-11.
Tang, “General Concepts of Wrist Biomechanics and a View from Other Species”, The Journal of Hand Surgery, European Volume, Aug. 2008, vol. 33, No. 4, pp. 519-525.
Toledo et al., “A Comparison of Direct and Pattern Recognition Control for a Two Degree-of-Freedom Above Elbow Virtual Prosthesis”, in Proceedings 34th Annual International Conference of the IEEE EMBS, 2012, pp. 4332-4335.
“Touch Bionics Grip Chips Let Hand Prostheses Think for Themselves”, May 15, 2014, www.medgadget.com/2014/05/touch-bionics-grip-chips-let-hand-prostheses-think-for-themselves.html, pp. 2.
Touch Bionics PowerPoint Presentation in 3 pages, believed to be shown at ISPO Conference in Leipzig, Germany, May 2016. (Applicant requests that the Examiner consider this reference as qualifying as prior art as of the date indicated, but Applicant does not admit its status as prior art by submitting it here and reserves the right to challenge the reference's prior art status at a later date).
Touch Bionics PowerPoint Slide in 1 page, believed to be presented at Advanced Arm Dynamics company Jan. 11, 2016. (Applicant requests that the Examiner consider this reference as qualifying as prior art as of the date indicated, but Applicant does not admit its status as prior art by submitting it here and reserves the right to challenge the reference's prior art status at a later date).
Touch Bionics Screenshots of video in PowerPoint Presentation in 4 pages, believed to be shown at ISPO Conference in Leipzig, Germany, May 2016. Applicant requests that the Examiner consider this reference as qualifying as prior art as of the date indicated, but Applicant does not admit its status as prior art by submitting it here and reserves the right to challenge the reference's prior art status at a later date).
Trachtenberg et al., “Radio Frequency Identification, An Innovative Solution to Guide Dexterous Prosthetic Hands”, 33rd Annual International Conference of the IEEE EMBS, Boston, MA, Aug. 30-Sep. 3, 2011, pp. 4.
Vilarino, Martin, “A Novel Wireless Controller for Switching among Modes for an Upper-Limb Prosthesis”, The Academy TODAY, Jan. 2014, vol. 10, No. 1, pp. A-12 to A-15.
Weir et al., “Design of Artificial Arms and Hands for Prosthetic Applications”, Biomedical Engineering and Design Handbook, 2009, vol. 2, pp. 537-598.
Wettels et al., “Grip Control Using Biomimetic Tactile Sensing Systems”, IEEE/ASME Transactions on Mechatronics, Dec. 2009, vol. 14, No. 6, pp. 718-723.
Whiteside et al., “Practice Analysis Task Force: Practice Analysis of the Disciplines of Orthotics and Prosthetics”, American Board for Certification in Orthotics and Prosthetics, Inc., 2000, pp. 1-51.
Wilson et al., “A Bus-Based Smart Myoelectric Electrode/Amplifier-System Requirements”, IEEE Transactions on Instrumentation and Measurement, Oct. 2011, vol. 60, No. 10, pp. 3290-3299.
Zampagni et al., “A Protocol for Clinical Evaluation of the Carrying Angle of the Elbow by Anatomic Landmarks”, Journal of Shoulder and Elbow Surgery, 2008, vol. 17, No. 1, pp. 106-112.
International Search Report and Written Opinion in Application No. PCT/GB2010/001232, dated Oct. 10, 2010.
International Preliminary Report on Patentability and Written Opinion in Application No. PCT/GB2010/001232, dated Jan. 4, 2012.
International Search Report and Written Opinion in Application No. PCT/GB2012/052111, dated Nov. 26, 2012.
International Search Report and Written Opinion in Application No. PCT/GB2010/051529, dated Jan. 4, 2011.
International Preliminary Report on Patentability and Written Opinion in Application No. PCT/GB2010/051529, dated Apr. 5, 2012.
International Search Report and Written Opinion in Application No. PCT/GB2014/050331, dated May 8, 2014.
International Preliminary Report on Patentability and Written Opinion in Application No. PCT/GB2014/050331, dated Aug. 20, 2015.
International Search Report and Written Opinion in Application No. PCT/GB2013/051961, dated Dec. 11, 2013.
International Search Report and Written Opinion in Application No. PCT/GB2015/050337, dated Apr. 29, 2015.
Baek et al., “Design and Control of a Robotic Finger for Prosthetic Hands”, Proceedings of the 1999 IEEE International Conference on Intelligent Robots and Systems, pp. 113-117.
Butterfaß et al., “DLR-Hand II: Next Generation of a Dextrous Robot Hand”, IEEE International Conference on Robotics and Automation, Seoul, Korea, May 21-26, 2001, vol. 1, pp. 109-114.
Cotton et al., “Control Strategies for a Multiple Degree of Freedom Prosthetic Hand”, Measurement + Control, Feb. 2007, vol. 40, No. 1, pp. 24-27.
“DsPIC Microcontrollers Introduction and Features”, <https://microcontrollerslab.com/dspic-microcontrollers-introduction/>, Aug. 1, 2017, pp. 4.
Edsinger-Gonzales, Aaron, “Design of a Compliant and Force Sensing Hand for a Humanoid Robot”, 2005, pp. 5.
Fildes, Jonathan, “Bionic Hand Wins Top Tech Prize”, BBC News, Jun. 9, 2008, http://news.bbc.co.uk/2/hi/science/nature/7443866.stm, pp. 3.
Gaiser et al., “A New Anthropomorphic Robotic Hand”, 2008 8th IEEE-RAS International Conference on Humanoid Robots, Dec. 1-3, 2008, Daejeon, Korea, pp. 418-422.
“ILimb Bionic Hand Now Ready for Market”, Technovelgy.com, www.technovelgy.com/ct/Science-Fiction-News.asp?NewsNum=1125, as printed Jul. 6, 2020 in 3 pages.
Kargov et al., “Applications of a Fluidic Artificial Hand in the Field of Rehabilitation”, Rehabilitation Robotics, Ch. 15, Aug. 2007, pp. 261-286.
Kargov et al., “Development of a Multifunctional Cosmetic Prosthetic Hand”, Proceedings for the 2007 IEEE 10th International Conference on Rehabilitation Robotics, Jun. 12-15, 2007, Noordwijk, The Netherlands, pp. 550-553.
Kargov et al., “Modularly Designed Lightweight Anthropomorphic Robot Hand”, 2006 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, Sep. 3-6, 2006, Heidelberg, Germany, pp. 155-159.
Kawasaki et al., “Design and Control of Five-Fingered Haptic Interface Opposite to Human Hand”, IEEE Transactions on Robotics, Oct. 2007, vol. 23, No. 5., pp. 909-918.
Kim et al., “Development of Anthropomorphic Prosthesis Hand H3 and Its Control”, 4th WSEAS/IASME International Conference on Dynamical Systems and Control (Control'08) Corfu, Greece, Oct. 26-28, 2008, pp. 133-138.
Lotti et al., “UBH 3: A Biologically Inspired Robotic Hand”, Jan. 2004, pp. 7.
MEC '05: Integrating Prosthetics and Medicine, University of New Brunswick's MyoElectric Controls/Powered Prosthetics Symposium, Aug. 17-19, 2005, Fredericton NB Canada, pp. 260.
Poppe, Zytel HTN Provides a Helping Hand, DuPont Engineering Design 8 (2007), pp. 3.
Puig et al., “A Methodology for the Design of Robotic Hands with Multiple Fingers”, International Journal of Advanced Robotic Systems, 2008, vol. 5, No. 2, pp. 177-184.
Pylatiuk et al., “Design and Evaluation of a Low-Cost Force Feedback System for Myoelectric Prosthetic Hands”, 18 J. Prosthetics and Orthotics 57-61 (2006).
Pylatiuk et al., “Results of an Internet Survey of Myoelectric Prosthetic Hand Users”, Prosthetics and Orthotics International, Dec. 2007, vol. 31, No. 4, pp. 362-370.
Ryew et al., “Robotic Finger Mechanism with New Anthropomorphic Metacarpal Joint”, 26th Annual Conference of the IEEE Industrial Electronics Society, 2000. IECON 2000, vol. 1, pp. 416-421.
Schulz et al., “Die Entwicklung Einer Multifunktionalen Kosmetischen Handprothese”, Prothetik, Orthopädie-Technik, Aug. 2006, pp. 627-632.
The Weir Thesis (“Weir Thesis”) is entitled “An Externally-Powered, Myo-Electrically Controlled Synergetic Prosthetic Hand for the Partial-Hand Amputee”, published Aug. 1989, pp. 365. [Uploaded in 3 Parts].
Ward, Derek Kempton, “Design of a Two Degree of Freedom Robotic Finger”, Sep. 1996, in 155 pages.
Weir et al., “A Myoelectrically Controlled Prosthetic Hand for Transmetacarpal Amputations”, JPO Journal of Prosthetics and Orthotics, Jun. 2001, vol. 13, No. 2, pp. 26-31.
Weir et al., “The Design and Development of a Synergetic Partial Hand Prosthesis with Powered Fingers”, RESNA '89, Proceedings of the 12th Annual Conference, Technology for the Next Decade, Jun. 25-30, 1989, pp. 473-474.
“World's First Bionic Hand Factory Opened by Scottish Company”, DailyMail.com, Jan. 8, 2008, https://www.dailymail.co.uk/sciencetech/article-506661/Worlds-bionic-hand-factory-opened-Scottish-company.html, pp. 4.
Related Publications (1)
Number Date Country
20200268532 A1 Aug 2020 US
Continuations (1)
Number Date Country
Parent 14765638 US
Child 16811638 US