Disclosed herein are a method and apparatus for analyzing elements inducing motion sickness in VR content. The method includes acquiring objective data based on an experiment using the VR content for measuring VR motion sickness, the experiment being conducted according to a predetermined protocol; acquiring subjective data input from the multiple participants of the experiment; and constructing a database based on the objective data and the subjective data and analyzing the degree of motion sickness induced by each of the content elements of the VR content using statistical information based on the database.

A method for classifying or categorizing a polysomnography recording into defined sleep tags.

A method for classifying or categorizing a polysomnography recording into defined sleep tags.

The system of neurorehabilitation and the method of neurorehabilitation belongs to the medical field, specifically to neurology, and can be used as a system and method of neurorehabilitation during motor rehabilitation of patients after a stroke in various phases, as well as during the rehabilitation of patients with other diseases and disorders of the central nervous system. The objective of the claimed invention is the motor (movement) rehabilitation of patients after stroke and other diseases of the central nervous system that cause motor deficits in the limbs. The technical result of the invention is to increase the effectiveness of rehabilitation, including during early and late rehabilitation period of stroke and other diseases and disorders of the central nervous system through the use of the system and method of neurorehabilitation and methods of this invention, which stimulate the restoration of mobility of paralyzed limbs by forming neural biofeedback connections between the patient's intention to move the limb and its implementation.

Various embodiments of an apparatus, methods, systems and computer program products described herein are directed to an Analytics Engine that receives one more signal files that include neural signal data of a user based on voltages detected by one or more electrodes on a set of headphones worn by a user. The Analytics Engine preprocesses the data, extracts features from the received data, and feeds the extracted features into one or more machine learning models to generate determined output that corresponds to at least one of a current mental state of the user and a type of facial gesture performed by the user. The Analytics Engine sends the determined output to a computing device to perform an action based on the determined output.

Various embodiments of an apparatus, methods, systems and computer program products described herein are directed to an Analytics Engine that receives one more signal files that include neural signal data of a user based on voltages detected by one or more electrodes on a set of headphones worn by a user. The Analytics Engine preprocesses the data, extracts features from the received data, and feeds the extracted features into one or more machine learning models to generate determined output that corresponds to at least one of a current mental state of the user and a type of facial gesture performed by the user. The Analytics Engine sends the determined output to a computing device to perform an action based on the determined output.

The disclosure describes techniques for predicting maternal and/or fetal health outcomes based on maternal and/or fetal patient data. The patient data may include, for example, data regarding sensed biopotential signals such as maternal and/or fetal electrocardiography (ECG) signals, maternal and/or fetal electromyography (EMG) signals, and/or other biopotential signals. The patient data may further include maternal and/or fetal biometric data and/or health assessment data. The system determines, based on processing the patient data using a machine learning model trained with historical patient data for a plurality of patients, one or more predicted outcomes associated with the patient.

The present invention provides systems, methods, and articles for stress reduction and sleep promotion. A stress reduction and sleep promotion system includes at least one remote device, at least one body sensor, and at least one remote server. In other embodiments, the stress reduction and sleep promotion system includes machine learning.

The present application includes a position tracking system for tracking the location of surgical objects within the surgical field, a neuromonitoring system for detecting the existence of (and optionally the distance and/or direction to) neural structures during a surgical procedure, and a processing system communicatively linked to both the position tracking system and the neuromonitoring system.

An electronic apparatus according to various embodiments of the present disclosure may comprise: a sensor unit for sensing the movement of the electronic apparatus; a communication unit for communicating with an external apparatus; an input unit for receiving a user input; an output unit for providing information to a user; and a control unit for outputting a message inducing a particular action to the user through the output unit on the basis of medical information of the user and the movement of the electronic apparatus, or controlling the communication unit to transmit information related to the electronic apparatus to an external apparatus.