A dynamic anatomic atlas is disclosed, comprising static atlas data describing atlas segments and dynamic atlas data comprising information on a dynamic property which information is respectively linked to the atlas segments.

A wearable respiration monitoring system having a transmitter coil that is adapted to generate and transmit multi-frequency AC magnetic fields, a receiver coil adapted to detect variable strengths in one of the AC magnetic fields and generate AC magnetic field strength signals representing anatomical displacements of a monitored subject, and at least one accelerometer that is configured to detect and monitor anatomical positions and movement of the subject, and generate and transmit accelerometer signals representing same. The wearable monitoring system further includes an electronics module that is adapted to receive the AC magnetic field strength signals and accelerometer signals, and determine at least one respiratory disorder as a function of the AC magnetic field strength signals and at least one anatomical position of the subject as a function of the accelerometer signals.

A method to measure sound-producing behaviors of a subject with a power- and bandwidth-limited electronic device that includes a processor includes measuring, by a microphone communicatively coupled to the processor, sound in a vicinity of the subject to generate an audio data signal that represents the sound. The method also includes measuring, by at least one second sensor communicatively coupled to the processor, at least one parameter other than sound to generate at least a second data signal that represents the at least one parameter other than sound. The method also includes detecting one or more sound-producing behaviors of the subject based on: both the audio data signal and the second data signal; or information derived from both the audio data signal and the second data signal.

A health monitor system is provided. The health monitor system is a non-contact, adherence-independent home health monitoring system that longitudinally quantifies dynamic forces across diverse amplitudes and time scales to measure weight, respirations, and ballistocardiograms each night, as people sleep in the comfort of their home beds. Weights and respiratory signals are demixed even when users share the bed with a partner or pet. The incorporated technology is scalably manufacturable and thus inexpensive compared to implantable medical devices intended for the same purpose.

This disclosure relates generally to a method and system for assessment of sustained visual attention of a target. The conventional methods utilize various markers for assessment of attention, however, blink rate variability (BRV) series signal is not explored yet. In an embodiment, the disclosed method utilizes BRV series signal for assessing sustained visual attention of a target. A gaze data of the target is recorded using an eye tracker and a set of uniformly sampled BRV series signal is reconstructed from each of the BRV series. One or more frequency domain features, including pareto frequency, are extracted from the set of uniformly sampled BRV series signal. The values of frequency domain features extracted from the set of BRV series signals are compared with corresponding threshold values to determine visual sustained attention of the target.

A sleep apnea detection system and a computer device are provided. The system includes a computer device configured to obtain a respiratory signal and perform data segment division on the respiratory signal to obtain a first signal segment. The first signal segment is divided into h second signal fragments and the related respiratory fluctuation is calculated. A local threshold value of first signal segments is further obtained and a third signal segment which has duration time longer than r seconds and respiratory fluctuation lower than the related local threshold value are filtered out. The ratio of time length of the third signal segments to the time length of the respiratory signal is calculated, so that the percentage of sleep apnea is obtained. The percentage of sleep apnea is substituted into a regression model which is well trained and an apnea-hypopnea index related to the respiratory signal is obtained.

A sleep apnea detection system and a computer device are provided. The system includes a computer device configured to obtain a respiratory signal and perform data segment division on the respiratory signal to obtain a first signal segment. The first signal segment is divided into h second signal fragments and the related respiratory fluctuation is calculated. A local threshold value of first signal segments is further obtained and a third signal segment which has duration time longer than r seconds and respiratory fluctuation lower than the related local threshold value are filtered out. The ratio of time length of the third signal segments to the time length of the respiratory signal is calculated, so that the percentage of sleep apnea is obtained. The percentage of sleep apnea is substituted into a regression model which is well trained and an apnea-hypopnea index related to the respiratory signal is obtained.

A smart animal bed system includes a base supporting a padded animal bed; a movement sensor for providing movement sensor signals in response to movement of an animal within the padded animal bed; and a temperature control system having a heating mode and a cooling mode, the temperature control system configured to selectively provide heating or cooling to the padded animal bed based at least in part on the movement sensor signals.

Systems and methods for monitoring vital signs (e.g. heartbeat, respiration) using FMCW millimeter wave radar are disclosed herein. A transceiver is used to transmit a first signal (FMCW) and receive a second signal (reflected). The transceiver transmits the second signal data to a computing device. A first set of radar data is generated by software on the computing device, based on the received second signal. A first set of Doppler interval measurements is obtained from the first set of radar data. A high Doppler response is obtained from the first set of Doppler interval measurements and vital sign data is extracted from the high Doppler response. Advantages include the use of Doppler frequencies which are free to use according to FAA specifications; living organisms (subjects) are not affected by the radiation or the transmission path; and a subject may be remotely monitored without requiring physical access.

An infant sleep device may include a platform for supporting an infant, a base upon which the platform is supported, and one or more weight sensors positioned to measure weight of an infant positioned on the platform.