A system, method, and apparatus for treating a medical condition by applying transcutaneous electrical stimulation to a target peripheral nerve of a subject. Electrical stimulation is applied to the peripheral nerve via a stimulation electrode pattern under closed-loop control in which EMG responses are monitored and used to adjust stimulation parameters. In response to detecting an unacceptable recording, electrical stimulation is applied to the peripheral nerve under open-loop control.

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.

A computing device may include (1) biosignal-acquiring circuitry that captures a biosignal from a user's body and (2) one or more composite bioelectrodes electrically coupled to the biosignal-acquiring circuitry. The one or more composite bioelectrodes may include (1) a circuitry-interfacing side with a mechanical or electrical property having a first predetermined configuration and (2) a user-interfacing side with the mechanical or electrical property having a second predetermined configuration. Various other composite bioelectrodes, systems, and methods are also disclosed.

A method and system are configured to generate user-specific information, such as wager-related information, for display on one or more display devices of a user. The system is configured to use factors, such as user preferences, user activity information, user location, user group information and/or a configuration of the user's display device(s), to generate, from a set of wager-related information such as a set of available bets, the user-specific information, such as a specific sub-set of the information or bets.

A system and method for reducing and preventing head injuries using a combination of hardware and software. Elevated neck stiffness can be learned through the system, device, and the method described in the present invention by delivering and pairing a certain appropriate sensory cue (SnC) with a certain appropriate significance cue (SgC). the system, device, and method are used to generally facilitate and validate an increase in neck stiffness to prevent or reduce the likelihood of concussion upon impact. The system employs a combination of hardware and software, such as using modified virtual reality (VR) headsets (in both hardware and software), to deliver visual, auditory, and other cues (somatosensory, vestibular, etc.) as SnC. The system also employs a combination of hardware and software, such as using modified virtual reality (VR) headsets (in both hardware and software), to deliver somatosensory, vestibular, visual, auditory, and other cues as SgC.

System and apparatus for measuring biopotential and implementation thereof. A device for mitigating electromagnetic interference (EMI) thereby increasing signal-to-noise ratio is disclosed. Specifically, the present disclosure relates to an elegant, novel circuit for measuring a plurality of biopotentials in useful in a variety of medical applications. This allows for robust, portable, low-power, higher S/N devices which have historically required a much bigger footprint.

A multimodal data acquisition and communication system and method for distributed management of in vivo exposure (IVE) therapy. An exemplary system, method, and apparatus according to certain aspects of the present disclosure may include a patient interface comprising (a) one or more sensors configured to collect quantitative (e.g., physiological data) and qualitative data (e.g., video/audio data) from a patient user during an IVE therapy session, and (b) a mobile computing device, such as a smartphone, comprising a mobile software application configured to establish a data transfer interface with the one or more sensors and provide a graphical user interface to the patient user. The mobile computing device may be communicatively engaged with a cloud-based server over a wireless communications network to enable real-time collection, communication, storage and analysis of IVE data and bi-directional audio/video communication with at least one clinician client device.

A multimodal data acquisition and communication system and method for distributed management of in vivo exposure (IVE) therapy. An exemplary system, method, and apparatus according to certain aspects of the present disclosure may include a patient interface comprising (a) one or more sensors configured to collect quantitative (e.g., physiological data) and qualitative data (e.g., video/audio data) from a patient user during an IVE therapy session, and (b) a mobile computing device, such as a smartphone, comprising a mobile software application configured to establish a data transfer interface with the one or more sensors and provide a graphical user interface to the patient user. The mobile computing device may be communicatively engaged with a cloud-based server over a wireless communications network to enable real-time collection, communication, storage and analysis of IVE data and bi-directional audio/video communication with at least one clinician client device.

An exercise feedback system calibrates sensors of an athletic garment worn by an athlete while performing exercises. The sensors can record physiological data such as muscle activation. The system instructs the athlete to perform a calibration workout. The system generates a calibration value based on physiological data from the calibration workout and/or user information. The calibration value indicates, for example, the predicted maximum amplitude for the muscle activation of a particular muscle group (for example, glutes, hamstrings, or quadriceps) of the athlete. The system can update the calibration value over time as the system receives additional physiological data from subsequent exercises performed by the athlete. The system may determine a confidence level of the calibration value and may update the calibration value if the confidence level becomes too low. The system provides biofeedback to the athlete generated based on the calibration value.

An exercise feedback system calibrates sensors of an athletic garment worn by an athlete while performing exercises. The sensors can record physiological data such as muscle activation. The system instructs the athlete to perform a calibration workout. The system generates a calibration value based on physiological data from the calibration workout and/or user information. The calibration value indicates, for example, the predicted maximum amplitude for the muscle activation of a particular muscle group (for example, glutes, hamstrings, or quadriceps) of the athlete. The system can update the calibration value over time as the system receives additional physiological data from subsequent exercises performed by the athlete. The system may determine a confidence level of the calibration value and may update the calibration value if the confidence level becomes too low. The system provides biofeedback to the athlete generated based on the calibration value.