Biometric enabled virtual reality (VR) systems and methods are disclosed for detecting user intention(s) and modulating virtual avatar control based on the user intention(s) for creation of virtual avatar(s) or object(s) in holographic space, two-dimensional (2D) virtual space, or three-dimensional (3D) virtual space. A virtual representation of an intended motion of a user corresponding to an intention of muscle activation of the user is determined based on analysis of a biometric signal data of the user as collected by a biometric detection device. The virtual representation of the intended motion is used to modulate virtual avatar control or output to create at least one of a virtual avatar representing aspect(s) of the user or an object manipulated by the user in a holographic space, virtual 2D space, or virtual 3D space. The avatar or the object is created based on: (1) the biometric signal data of a user, or (2) user-specific specifications as provided by the user.

The present disclosure provides a method for performing a treatment plan, wherein the method comprises: receiving first patient data, wherein the first patient data includes at least a first patient identifier associated with the first patient and a first treatment plan; receiving second patient data, wherein the second patient data includes a second patient identifier associated with the second patient and a second treatment plan; receiving first measurement data associated with a first performance level of the first treatment plan by the first patient; receiving second measurement data associated with a second performance level of the second treatment plan by the second patient; determining differential data, wherein the determining is based on a contrast of the first or the second measurement data or first or second patient data; and generating, based on the differential data, an instruction to modify an operating state of the treatment apparatus.

The present disclosure generally relates to user interfaces for health applications. In some embodiments, exemplary user interfaces for managing health and safety features on an electronic device are described. In some embodiments, exemplary user interfaces for managing the setup of a health feature on an electronic device are described. In some embodiments, exemplary user interfaces for managing background health measurements on an electronic device are described. In some embodiments, exemplary user interfaces for managing a biometric measurement taken using an electronic device are described. In some embodiments, exemplary user interfaces for providing results for captured health information on an electronic device are described. In some embodiments, exemplary user interfaces for managing background health measurements on an electronic device are described.

Provided is a technique that trains motor imagery to reinforce brain waves, and a guidance method for motor imagery displays virtual reality including a virtual body part corresponding to a user's real body part the user, detects a movement of the real body part through a motion sensor to track a motion, and visually displays the movement of the virtual body part through the virtual reality according to the tracked motion to induce an ownership feeling that makes the user mistake the virtual body part for the real body part.

A purpose of the disclosure is to provide a measurement device for human bodies that can encourage a person who is reluctant to measure body composition to use the device. A measurement device has: an electric resistance value acquisition unit for acquiring an electric resistance value of one or more parts of a body of a person to be measured; and a type determination unit for using the electric resistance value to determine a type representing a physical characteristic of the person to be measured from one or more predetermined points of view.

A method includes causing display, during a first time period and via a first set of multiple smart mirrors, of live video depicting at least one user associated with the first set of multiple smart mirrors, without displaying a workout video. The method also includes causing display, during a second time period following and mutually exclusive of the first time period, and via a second set of multiple smart mirrors, of a workout video and a representation of at least one user associated with the second set of smart mirrors. The method also includes causing display, during a third time period following and mutually exclusive of the second time period, and via a third set of multiple smart mirrors, of live video depicting at least one user associated with the third set of multiple smart mirrors.

Analyte monitoring systems, devices, and methods associated with analyte monitoring devices, and devices incorporating the same are provided. Various graphical user interfaces (GUI) and navigation flows are provided for performing various features, activities, functions, etc., associated with the analyte monitoring device or system. Intuitive navigation is provided to enhance the interpretation of analyte measurements.

Systems and methods for provoking and monitoring neurological events are described herein. In some embodiments, a method for monitoring a patient includes outputting a user interface configured to guide the patient in performing a provocation sequence for a neurological event. The method can also include obtaining patient data indicative of a state of the patient during the provocation sequence. The method can further include evaluating suitability of the patient data for detecting an occurrence of the neurological event. The method can include outputting feedback via the user interface based on the evaluation.

Described herein are methods, devices and systems for efficiently storing data for sensed biological signals. A sensed biological signal, or an amplitude and/or filtered version thereof, is provided to an N-bit ADC of an IMD to produce an N-bit data value indicative of an amplitude of the biological signal at a point in time. One of a plurality of chords of a compression curve is selected, based on a magnitude of the N-bit data value, and used to produce an M-bit data value, which is a compressed version of the N-bit data value, wherein M<N. The M-bit data value is stored as an M-bit data slice within memory of the IMD, and can be expanded to a reproduced N-bit data value after being uploaded to a non-implanted device or system.

A method of performing impedance measurements on a subject. The method includes using a processing system to determine at least one impedance measurement to be performed, and at one electrode arrangement associated with the determined measurement. A representation of the arrangement is displayed so the impedance measurement can be performed once the electrodes have been arranged in accordance with the displayed representation.