A system, method and appliance provides sleep-related disorder data collection, assessment, and visual representation. The appliance may be configured to be worn during a sleep cycle of an individual and may include or be operatively connected to various sensors that collect physiological data of the individual during the sleep cycle. Aspects of the system are configured to correlate data obtained from various sensors/data sources during an individual's sleep cycle, determine relevant events associated with sleep-related disorders based on the obtained data, provide summaries and information about the determined relevant events, and generate and provide dynamic visualizations of the individual's anatomy corresponding to the determined relevant events. A dynamic visualization may include a 3D model of the individual's airway and mandibular anatomy that, when played back, morphs to represent dynamics of the individual's anatomy during the relevant event.

Embodiments treat constipation and fecal incontinence by affixing a patch externally on a dermis of a user adjacent to a tibial nerve of the user, the patch including a flexible substrate, a processor directly coupled to the substrate, and electrodes directly coupled to the substrate. The patch is then activated to initiate a treatment session, the activating including generating electrical stimuli via the electrodes that is directed to the tibial nerve.

Embodiments treat constipation and fecal incontinence by affixing a patch externally on a dermis of a user adjacent to a tibial nerve of the user, the patch including a flexible substrate, a processor directly coupled to the substrate, and electrodes directly coupled to the substrate. The patch is then activated to initiate a treatment session, the activating including generating electrical stimuli via the electrodes that is directed to the tibial nerve.

The present disclosure provides a neuromodulation medical treatment device and a medical treatment neuromodulation method for stimulating peripheral nerves. The device comprises a pulse generator and at least one active electrode connected to the pulse generator. The at least one active electrode has an electrically conductive surface of less than or equal to 0.3100 square inch and the electrically conductive surface is attachable to a patient's skin in a proximity of branches of peripheral nerves. The at least one active electrode is adapted to stimulate via the electrically conductive surface the peripheral nerves by electrical pulses generated by the pulse generator. The control unit controls the pulse generator and sets at least one parameter of generated electrical pulses.

The present disclosure provides a neuromodulation medical treatment device and a medical treatment neuromodulation method for stimulating peripheral nerves. The device comprises a pulse generator and at least one active electrode connected to the pulse generator. The at least one active electrode has an electrically conductive surface of less than or equal to 0.3100 square inch and the electrically conductive surface is attachable to a patient's skin in a proximity of branches of peripheral nerves. The at least one active electrode is adapted to stimulate via the electrically conductive surface the peripheral nerves by electrical pulses generated by the pulse generator. The control unit controls the pulse generator and sets at least one parameter of generated electrical pulses.

Example systems, methods, and apparatus, including cognitive platforms, are provided for applying signal detection metrics in computer-implemented adaptive response-deadline procedures to data collected based at least in part on user interaction(s) with computerized tasks and/or interferences. The apparatus can include a response classifier for generating a quantifier of the cognitive abilities of an individual. The apparatus also can be configured to adapt the tasks and/or interferences to enhance the individual's cognitive abilities.

Techniques for shielding wearable surface electromyography (sEMG) devices are described. According to some aspects, an sEMG device may comprise amplification circuitry comprising at least a first differential amplifier and at least two sEMG electrodes electrically connected to the amplification circuitry. The device may further comprise at least one auxiliary conductor not electrically connected to the amplification circuitry, wherein the at least one auxiliary conductor is configured to be electrically coupled to a wearer of the wearable device, and an electromagnetic shield surrounding the wearable device at least in part and electrically connected to the at least one auxiliary conductor.

Techniques for shielding wearable surface electromyography (sEMG) devices are described. According to some aspects, an sEMG device may comprise amplification circuitry comprising at least a first differential amplifier and at least two sEMG electrodes electrically connected to the amplification circuitry. The device may further comprise at least one auxiliary conductor not electrically connected to the amplification circuitry, wherein the at least one auxiliary conductor is configured to be electrically coupled to a wearer of the wearable device, and an electromagnetic shield surrounding the wearable device at least in part and electrically connected to the at least one auxiliary conductor.

An ultrasound imaging system can include first and second ultrasound transducer arrays and a processor circuit, coupled to the first and second ultrasound transducer arrays. The processor circuit can be configured to generate separate first and second volumetric ultrasound image data sets using the first and second ultrasound transducer arrays respectively and configured to combine the separate first and second volumetric ultrasound image data sets to generate an integrated volumetric image.

An ultrasound imaging system can include first and second ultrasound transducer arrays and a processor circuit, coupled to the first and second ultrasound transducer arrays. The processor circuit can be configured to generate separate first and second volumetric ultrasound image data sets using the first and second ultrasound transducer arrays respectively and configured to combine the separate first and second volumetric ultrasound image data sets to generate an integrated volumetric image.