Systems and methods for a neuromodulation system are provided. In one example, the neuromodulation system includes a stimulation element, a stimulation controller, and a stimulation feedback acquisition system that includes a reference trigger input module configured such that the temporal relationship between a provided stimulation via the stimulation element and the stimulation controller, and a stimulation response received by the stimulation feedback acquisition system can be characterized.

A method of operating a biological interface is disclosed. The method may include obtaining an input physiological or neural signal from a subject, acquiring an input set of values from the input signal, obtaining a predictive signal from the subject or the environment, acquiring a predictive set of values from the predictive signal, training a decoder function in response to data from the predictive set of values, performing at least one calculation on the input set of values using the decoder function to produce an output set of values, and operating a device with the output set of values. A biological interface system is also disclosed. The biological interface system may contain an input signal sensor, an input signal processor, a predictive signal processor, a memory device storing data, and a system processor coupled to the memory device and configured to execute a decoder function.

A device for functional electrical stimulation (FES), neuromuscular electrical stimulation (NMES), and/or in receiving electromyography (EMG) signals includes a sleeve and electrodes. The sleeve is sized and shaped to be worn on a human arm, and comprises a stretchable fabric The electrodes are secured with the sleeve and positioned to contact skin of the human arm when the sleeve is worn on the human arm. An electronic circuit is configured to operate the electrodes. The electronic circuit includes relays connecting the electrodes with a stimulator for performing FES or NMES, and EMG readout circuitry connecting the electrodes with an EMG amplifier. The relays are closed during FES or NMES to connect the stimulator with the electrodes. The relays are open during EMG readout to isolate the stimulator from the EMG amplifier.

The present disclosure relates to a testing method and a testing system for a human stress reaction, and a computer-readable storage medium. The testing method for the human stress reaction includes acquiring position information and visual field information of a testee in a virtual road traffic scene after the virtual road traffic scene is established; guiding the testee into a test zone when the testee is within a test-waiting zone and when a visual field direction of the testee faces the test zone, and simultaneously, starting acquiring stress reaction data of the testee; controlling a virtual reality environment module to create a virtual stress event in the test zone after it is determined that the testee is within the test zone, and applying a stimulation to the testee, such that the testee make a stress reaction.

Contemplated systems for monitoring and analysis of human motion synthesis are disclosed herein that include: at least one garment configured to be worn by a user, at least one inertial sensor, wherein the at least one inertial sensor is integrated with or into the at least one garment, an information system, wherein the information system communicates with the at least one inertial sensor to produce a set of data, at least one musculorientation metric generated by the information system, and at least one performance report that is produced from the analysis of the at least one musculorientation metric.

A system for control of a device includes at least one sensor module detecting orientation of a user's body part. The at least one sensor module is in communication with a device module configured to command an associated device. The at least one sensor module detects orientation of the body part. The at least one sensor module sends output signals related to orientation of the user's body part to the device module and the device module controls the associated device based on the signals from the at least one sensor module.

A portable and wearable hand-grasp neuro-orthosis is configured for use in a home environment to restore volitionally controlled grasp functions for a subject with a cervical spinal cord injury (SCI). The neuro-orthosis may include: a wearable sleeve with electrodes; electronics for operating the wearable sleeve to perform functional electrical stimulation (FES) and electromyography (EMG), the electronics configured for mounting on a wheelchair; and a controller configured for mounting on a wheelchair. The controller controls the electronics to read EMG via the sleeve, decode the read EMG to determine an intent of the user, and operate the electronics to apply FES via the sleeve to implement the intent of the user. The neuro-orthosis may restore hand function. The controller may include a display arranged to be viewed by the subject, for example mounted on an articulated arm attached to the wheelchair.

An information processing apparatus includes: a preparation device preparing information on a body posture; an acting force meter measuring a first acting force the body applies on a first object; a myoelectric potential meter; and a processor acquiring the information on the posture, acquiring information on the first acting force measured by the acting force meter, acquiring information on the myoelectric potential, setting an initial value for a second acting force the body applies to a second object other than the first object, estimating a muscle activity state corresponding to the posture, the first acting force, and the second acting force, repeating updating the second acting force such that a difference between (i) a muscle activity state determined based on the myoelectric potential and (ii) the estimated activity state decreases, and presenting the second acting force when the difference is less than a predetermined threshold value.

An information processing apparatus includes: a preparation device preparing information on a body posture; an acting force meter measuring a first acting force the body applies on a first object; a myoelectric potential meter; and a processor acquiring the information on the posture, acquiring information on the first acting force measured by the acting force meter, acquiring information on the myoelectric potential, setting an initial value for a second acting force the body applies to a second object other than the first object, estimating a muscle activity state corresponding to the posture, the first acting force, and the second acting force, repeating updating the second acting force such that a difference between (i) a muscle activity state determined based on the myoelectric potential and (ii) the estimated activity state decreases, and presenting the second acting force when the difference is less than a predetermined threshold value.

A method of adjusting a neuromuscular-signal sensor is provided. The method includes monitoring, based on data from a wearable device that includes a neuromuscular-signal sensor, an impedance at the sensor that impacts the neuromuscular-signal sensor’s ability to sense neuromuscular signals. The neuromuscular-signal sensor is coupled to the wearable device such that it contacts a portion of a user’s skin. In response to detecting a change in the impedance at the neuromuscular-signal sensor that causes the impedance to be outside of a predefined range of impedance values, the method includes causing an adjustment to an operational characteristic (e.g., causing the neuromuscular-signal sensor to move or adjusting an electrical characteristic) associated with the neuromuscular-signal sensor such that the impedance at the neuromuscular-signal sensor is within the predefined range of impedance values after the adjustment to the operational characteristic.