The present disclosure relates to neuromuscular stimulation and sensing cuffs. The neuromuscular stimulation cuff has at least two fingers and a plurality of electrodes disposed on each finger. More generally, the neuromuscular stimulation cuff includes an outer, reusable component and an inner, disposable component. One or more electrodes are housed within the reusable component. The neuromuscular stimulation cuff may be produced by providing an insulating substrate layer, forming a conductive circuit on the substrate layer to form a conductive circuit layer, adhering a cover layer onto the conductive circuit layer to form a flexible circuit, and cutting at least one flexible finger from the flexible circuit. The neuromuscular stimulation cuff employs a flexible multi-electrode design which allows for reanimation of complex muscle movements in a patient, including individual finger movement.

The present disclosure relates to neuromuscular stimulation and sensing cuffs. The neuromuscular stimulation cuff has at least two fingers and a plurality of electrodes disposed on each finger. More generally, the neuromuscular stimulation cuff includes an outer, reusable component and an inner, disposable component. One or more electrodes are housed within the reusable component. The neuromuscular stimulation cuff may be produced by providing an insulating substrate layer, forming a conductive circuit on the substrate layer to form a conductive circuit layer, adhering a cover layer onto the conductive circuit layer to form a flexible circuit, and cutting at least one flexible finger from the flexible circuit. The neuromuscular stimulation cuff employs a flexible multi-electrode design which allows for reanimation of complex muscle movements in a patient, including individual finger movement.

Rehabilitating an impaired body part of a subject such as a stroke patient includes systems, devices, and methods using an orthosis system configured to attach to the impaired body part and to move or assist in movement of the impaired body part. A control system is configured to operate the orthosis system in a mode in which the orthosis system first allows the subject to move volitionally or attempt to move volitionally the impaired body part in a predefined motion and then operates to move or assist in the predefined motion of the impaired body part. Additional modes of operation include a brain computer interface mode of operation and a mode in which the orthosis system operates in a continuous passive mode of operation comprising a plurality of repetitions of an exercise to move the impaired body part.

The invention allows an accurate and automated method and system for determining an intrinsic frequency of an EEG band of a person. Intrinsic frequency values (specifically the intrinsic alpha frequency (IAF)) are used to diagnose mental disorders and detect brain anomalies in a person. At present, these estimates are inaccurate for the population that has EEG with low energy in the EEG band. By combining the EEG recording with a stimulus (e.g., light, sound, touch, etc., or a combination), it is possible to determine the IAF, due to the resonant properties of the brain.

A device, system, and method for facilitating a sleep cycle in a subject suing a peri COVID vaccination period, comprising determining a current awake or sleep stage of a person; automatically defining a desired sleep cycle pattern, dependent on the current awake or sleep stage of the person; generating an audio or optical stimulation pattern by an automated processor; entraining brainwaves of the brain of the person with the stimulation pattern corresponding to the desired sleep cycle pattern, to thereby induce a sleep cycle in the person according to the sleep cycle pattern; and administering the SARS-Cov-2 vaccination to the person.

A system and method for brainwave entrainment using virtual objects and gamification, in which brainwave entrainment is applied using some combination of gaming elements, brainwave is enhanced by virtue of the user's active participation, and long-term use is encouraged by virtue of the entertaining nature of the gamification. Depending on configuration, the system and method may comprise a display comprising virtual objects, a light-producing device (other than the display), an audio-producing device such as speakers or headphones, a haptic feedback device such as a vibratory motor, a means for monitoring the user's attention, and a software application which applies brainwave entrainment using some combination of the display, the light-producing device, the audio-producing device, and the haptic feedback device.

Described herein is a system and method for controlling a computing system by an AI network based upon an electroencephalograph (EEG) signal from a user. The user's EEG signals are first detected as the user operates an existing controller, during which time the associated artificial intelligence (AI) system learns by correlating the EEG signals with the commands received from the controller. Once the AI system determines that there is sufficient correlation to predict the user's actions, it can take control of the computing system and initiate commands based upon the user's EEG signal in place of the user's actions with the controller. At this point, weights in the AI network may be locked so that further commands from the controller, or the lack thereof, do not reduce correlation with the EEG signals. In some embodiments, the AI network may initiate commands faster than the user would be able to do.

Concepts and technologies disclosed herein are directed to mental health tracking. According to one aspect of the concepts and technologies disclosed herein, a system can obtain electroencephalography (“EEG”) data associated with a user. The EEG data can be obtained from an EEG device worn by the user. The EEG data can include real-time EEG data and/or historical EEG data. The system can obtain calendar data associated with the user. The calendar data can identify a calendar event such as a business meeting. The calendar data can be associated with a calendar of the user and/or a shared calendar of an entity other than the user. The system can map the calendar data to the EEG data. The system can then provide feedback to the user. The feedback can provide insight regarding a stress level of the user in association with the calendar event.

Concepts and technologies disclosed herein are directed to mental health tracking. According to one aspect of the concepts and technologies disclosed herein, a system can obtain electroencephalography (“EEG”) data associated with a user. The EEG data can be obtained from an EEG device worn by the user. The EEG data can include real-time EEG data and/or historical EEG data. The system can obtain calendar data associated with the user. The calendar data can identify a calendar event such as a business meeting. The calendar data can be associated with a calendar of the user and/or a shared calendar of an entity other than the user. The system can map the calendar data to the EEG data. The system can then provide feedback to the user. The feedback can provide insight regarding a stress level of the user in association with the calendar event.

The present invention relates to a method and system for calculating eating bites of a user. The method comprises: (a) continuously measuring the electrical properties data of mastication of a user for a predetermined period of time; (b) periodically determining single eating bites according to the data obtained in step (a) through a time interval; (c) periodically storing the bites determined throughout the predetermined period of time, through a time interval.