Mechanoneural Interfaces (MIs) and methods of forming MIs are provided, including cutaneous mechanoneural interfaces (CMIs) and proprioceptive mechanoneural interfaces (PMIs). A CMI includes a device in operative arrangement with a muscle actuator to stimulate muscle contraction, the muscle actuator disposed in a substantially circumferential configuration about a skin flap that includes a native or regenerative neurovascular structure of an amputated body segment. A PMI includes an actuator mechanically linked to a muscle end organ and configured to apply a force to the muscle end organ, the actuator including a synthetic actuator or a biological muscle actuator. The muscle end organ is of an agonist-antagonist muscle pair and can include at least one of a native or regenerative neurovascular structure. CMIs and PMIs can each further include a controller configured to provide a stimulation signal or operate an actuator based on a signal received from a sensor of a prosthetic device.

A time-dependent decay behavior is incorporated into one or more joint actuator control parameters during operation of a lower-extremity, prosthetic, orthotic or exoskeleton device. These parameters may include joint equilibrium, joint impedance (e.g., stiffness, damping) and/or joint torque components (e.g., gain, exponent). The decay behavior may be exponential, linear, piecewise, or may conform to any other suitable function. Embodiments presented herein are used in a control system that emulates biological muscle-tendon reflex response providing for Reflex Parameter Modulation a natural walking experience. Further, joint impedance may depend on an angular rate of the joint. Such a relationship between angular rate and joint impedance may assist a wearer in carrying out certain activities, such as standing up and ascending a ladder.

Various aspects of upper arm prosthetic system for a human subject having a body and a partial arm are described. According to one aspect, the system may comprise any one or more of a force amplification apparatus, a terminal unit apparatus, and/or an adjustable elbow apparatus. Each apparatus may be body-powered and/or comprise 3D printable structures. Related upper arm prosthetic apparatus, kits, methods, and systems also are described.

A system and method for controlling a device, such as a virtual reality (VR) and/or a prosthetic limb are provided. A biomimetic controller of the system comprises a signal processor and a musculoskeletal model. The signal processor processes M biological signals received from a residual limb to transform the M biological signals into N activation signals, where M and N are integers and M is less than N. The musculoskeletal model transforms the N activation signals into intended motion signals. A prosthesis controller transforms the intended motion signals into three or more control signals that are outputted from an output port of the prosthesis controller. A controlled device receives the control signals and performs one or more tasks in accordance with the control signals.

A stimulator substrate device for stimulating nerve cells, and apparatus including same, in particular nerve cells in an extremity, includes a substrate support, in which a plurality of stimulators for emitting stimulation signals to the nerve cells are provided. The plurality of stimulators is provided in a line on the substrate support and the substrate support is tubular.

A neurostimulator incorporating a novel chip design that uses the principle of redundant signal crossfiring to overcome electronic component mismatch error in general and transistor mismatch error in particular, to yield superior quality neurostimulation signal generation, useful in enhancing the bidirectional human-machine interface in prosthesis operation for the restoration of somatosensation for an amputee.

Systems, devices and methods for detecting ground contact with a lower-limb POD. A sensor array for the POD on a first or second body may include two or more sensors in an array that each detect a distance to a respective target on the other of the first or second body. The first and second bodies may move relative to each other thereby changing an offset distance or distances between the two bodies which is detected by the sensors. In some embodiments, the sensors may include Hall Effect sensors that detect distances to respective magnets. Load data based on the detected distances may be generated for control of the POD, such as for stance phase control.

A prosthetic limb includes: a socket as a thigh part; a thigh joint part provided on a side of the socket; a lower leg part coupled to the thigh joint part and provided to be rotatable around a knee shaft; a thigh part inclination angle acquisition unit that acquires an inclination angle Ψ formed by the socket relative to a vertical line passing through the knee shaft; and a rotational resistance control unit that weakens a rotational resistance of the knee shaft in accordance with a transition from a positive inclination angle formed when the socket is inclined rearward relative to the vertical line to a negative inclination angle formed when the socket is inclined forward relative to the vertical line.

A prosthetic or orthotic device (POD) can include first and second limb members coupled at a joint, an actuator, and a controller. The actuator can be configured to actuate the first limb member relative to the second limb member. The controller can cause the actuator to exhibit a force rejection behavior during a portion of stance phase and cause the actuator to exhibit a force following behavior during a portion of swing phase. The controller can, based on a determination that a gait parameter satisfies a gait parameter threshold, cause the actuator to at least one of: apply a first torque at the joint to cause the POD to flex during a portion of stance phase, decelerate flexion of the POD during at least a first portion of the swing phase, or decelerate extension of the POD during at least a second portion of the swing phase.

The present invention relates to a system for neuromuscular rehabilitation of a patient having an affected limb comprising: a feedback member arranged to give real-time visual feedback; a plurality of electrodes arranged to acquire an electric signal corresponding to an intent to move said affected limb; a control unit configured to: perform pattern recognition of said electric signals, wherein at least one feature in said electric signal is used to predict motion intent of said affected limb adjacent to at least one joint, such aggregated motions of said affected limb are predicted; based on output signals from said performed pattern recognition, control said feedback member to perform actions corresponding to said motions, whereby said actions of said feedback member are individually and simultaneously controlled by said patient via said intended motions.