A medical device for assessing and/or rehabilitating a human joint of an extremity includes a joint brace comprising a first support for coupling to an upper part of the extremity, a second support for coupling to a lower part of the extremity, and a rotatable joint connecting the first and second supports, and a mechanical device coupled to the first and second supports, the mechanical device configured for moving one or more of the first and second supports so as to rotate about the joint. In another alternative the medical device can include sensors located for making angle measurements between the first and second supports and for recording movement data and a computing device for receiving and storing the angle measurements and the movement data and for transmitting said data via a radio transmitter.

A system and method for performing range of motion measurements in an unsupervised manner. A user equipment with one or more cameras may be used with an application on the UE using the one or more cameras to measure range of motion of a user of the UE. The patient may record movement of the part of the body of interest, such as the head. The movement may be recorded in three dimensions (e.g., calculated from two dimensional coordinates of an image) and processed by the application, and the three rotational angles calculated corresponding to the difference between the final position of the head and the initial position of the head at the beginning of the recording. As a result, facial recognition is used to improve monitoring of range of motion during surgical recovery in an unsupervised environment.

Intraoral electrical stimulation devices are disclosed. A representative device, which can be used to treat sleep apnea, includes an intraoral attachment body, a guide element carried by the attachment body and having a constrained guide path, and an electrode movably supported relative to the guide element and movable along the constrained guide path to a plurality of positions. A positioning member is coupleable to the electrode to move the electrode along the constrained guide path, and a signal generator is coupleable to the electrode to direct a stimulation signal to the electrode.

Devices, systems, and methods are provided for analyzing and treating learning disorders using software as a medical device. A method may include identifying, by a device, application-based cognitive musical training (CMT) exercises associated with performance of software; receiving a first user input to generate a first sequence of the application-based CMT exercises; presenting a first application-based CMT exercise of the application-based CMT exercises based on the first sequence; receiving, during the presentation of the first application-based CMT exercise, a second user input indicative of a user interaction with the first application-based CMT exercise; generating, based on a comparison of the second user input to a performance threshold, a second sequence of the application-based CMT exercises, the first sequence different than the second sequence; and presenting a second application-based CMT exercise of the application-based CMT exercises based on the second sequence.

Disclosed are various embodiments of golf training device that helps a golfer learn and coordinate lower body positions and movements with upper body movements, using a series of feedback signals. In one embodiment, among others, a system comprises a foot sensor that attaches to a Lead Foot of a user. The foot sensor is configured to detect a heel of the Lead Foot being raised. The system also comprises a leg sensor that attaches to a Trail Leg of the user, and the leg sensor detects a bend in the Trail Leg of the user. The foot sensor is configured to detect the heel being lowered at an instance after the detection of the bend in the Trail Leg. The system further comprises a feedback device configured to activate one or more feedback indicators after the detections of foot and/or leg movements.

Disclosed are an electronic device for generating workout types and a method of operating the electronic device. According to an embodiment, an electronic device includes: a memory and at least one processor connected to the memory, wherein the at least one processor is configured to: acquire a workout type name in response to a request for adding a workout type, recommend at least one data type based on the workout type name, generate a new workout type corresponding to the workout type name based on a data type selected from among the at least one recommended data type, and acquire workout measurement information corresponding to the selected data type in response to execution of the new workout type.

A rehabilitation evaluation apparatus includes a sensor signal acquisition unit configured to acquire a sensor signal output from a detection sensor, a selection unit configured to select at least one myoelectric signal having a correlation with the sensor signal acquired by the sensor signal acquisition unit from among the plurality of second myoelectric signals on the second-side part acquired by the myoelectric-signal acquisition unit, and a similarity output unit configured to select a first myoelectric signal that has been output from a myoelectric sensor attached in a place that is left-right symmetric to a place of the myoelectric sensor that has output the second correlated myoelectric signal selected by the selection unit from among a plurality of first myoelectric signals on the first-side part acquired by the myoelectric-signal acquisition unit, calculate a similarity between these correlated myoelectric signals, and outputs the calculated similarity.

A system includes a minimally intrusive display system (MIDS) configured to be disposed on an eyewear. The MIDS includes a display system and a sensor system configured to provide for a sensor data. The MIDS further includes a processor configured to process the sensor data to derive a physiological measure. The processor is further configured to display, via the display system, the physiological measure, wherein the display system is disposed in the eyewear so that the physiological measure is only viewed when a user of the eyewear turns the user's pupil towards the display system at angle α from a forward direction.

A fabric-based item may be provide with a stretchable band. The stretchable band may be formed from a ring-shaped strip of stretchable fabric having an opening configured to fit around a body part of a user. Circuitry may be coupled to strands of material in the stretchable band. The circuitry may include sensor circuitry for making measurements on the body part such as electrocardiogram measurements, blood pressure measurements, and respiration rate measurements. Wireless communications circuitry in the fabric-based item may be used to communicate wirelessly with external electronic equipment. A wireless power transmitting device may transmit wireless power. A coil formed from conductive strands in the fabric-based item may be used by wireless power receiving circuitry in the fabric-based item to receive the wireless power. The coil may have one or more turns that run around the ring-shaped strip of stretchable fabric.

A device for performing individual movement analysis and movement therapy on a patient includes a control and analysis unit configured to control a first intervention device in such a way that a first trajectory of the movement of an extremity of the patient is disrupted by a force exerted by a movement module onto the extremity of the patient. A response to this disruption is measured by changed measured values from at least one force sensor and/or at least one angle sensor, and a new, second trajectory is calculated therefrom. New control parameters for controlling the first intervention device are calculated from a comparison of the second trajectory with the first trajectory and/or a target trajectory or the comparison of the disrupted measured values with the non-disrupted measured values.