A method of transplanting a sleep state of a first subject (donor) to a second subject (recipient) comprising: capturing a sleep state of the first subject represented by brain activity patterns; and transplanting the sleep state of the first subject in the second subject by inducing the brain activity patterns in the second subject.

The present disclosure pertains to a system and method for automatically detecting rapid eye movement (REM) sleep and delivering sensory stimulation to prolong REM duration, without disturbing sleep. The sensory stimulation may be auditory or other stimulation. The system and method ensure timely delivery of the stimulation and automatically adjust the amount, intensity, and/or timing of stimulation as necessary. REM sleep is detected based on brain activity, cardiac activity and/or other information. REM sleep may be detected and/or predicted by a trained neural network. The amount, timing, and/or intensity of the sensory stimulation may be determined and/or modulated to enhance REM sleep in a subject based on one or more values of one or more intermediate layers of the neural network and one or more brain activity and/or cardiac activity parameters.

One aspect of this disclosure relates to a sleep position training device for reducing gastroesophageal reflux during sleep. The training device can comprise an orientation sensor, a stimulus generator and a processing system. The orientation sensor can be configured to output a signal indicative of an orientation of the torso of the person. The stimulus generator can be configured to provide a stimulus to the torso of the person when the torso of the person is in a predetermined torso orientation range in a sleeping position. The stimulus generator can be removably affixable to the torso of the person. The processing system can be configured to receive a first signal from the orientation sensor, the first signal being indicative of an orientation of the torso of the person, and to determine that the orientation is within the predetermined torso orientation range in the sleeping position.

The present invention discloses a method for determining a degree of response to a physical activity. Acquire a physical activity signal measured by a sensing unit in the physical activity. Determine first data of a first physical activity feature set based on the physical activity signal. Determine a recognition of the degree of response to the physical activity based on the first data of the first physical activity feature set by a mathematical model describing a relationship between the first physical activity feature set and the degree of response to a physical activity. A portion of a first mechanism of the mathematical model adopts at least one portion of a second mechanism of a first neural network model associated with the second physical activity feature set.

An illumination source may be configured to illuminate the skin of the user. An illumination detector may detect electromagnetic radiation reflected of the skin of the user. A compensation module may be configured to determine the position of the skin of the user relative to the illumination detector. A processor may be configured to determine a heart rate of the user by analyzing information corresponding to an amount of the electromagnetic radiation detected by the illumination detector. The processor may also determine the heart rate of the user by compensating for the position of the skin of the user as determined by the compensation module.

A method and a system for providing feedback to a user for adjusting sleep pattern of the user. The method includes collecting a set of information related to the user, receiving a set of measurement data related to the user from a wearable electronic device, defining circadian rhythm and duration of sleep of the user, determining sleep scores for a predefined number of days and associating each sleep score with a corresponding go-to-bed time or time of falling asleep of the user. A sleep score is determined for each of the predefined number of days from the collected set of information, the set of measurement data, the circadian rhythm and the duration of sleep of the user. The method further includes analysing the sleep scores and associated go-to-bed time or time of falling asleep of the user to determine an optimum bedtime window for the user and providing feedback to the user based on the analysed sleep scores and the optimum bedtime window.

A mattress supports a left-side user and a right-side user. At least one acoustic sensor is configured to sense acoustic energy in the environment of the left-side user and of the right-side user. At least one pressure sensor is configured to sense pressure applied to the left-side portion by the left-side user and applied to the right-side portion by the right-side user. A controller is configured to receive at least one acoustic stream from the at least one acoustic sensor and at least one pressure stream from the at least one pressure sensor. Left-side snore/breath parameters and right-side snore/breath parameters are generated. The controller is further configured to, responsive to determining that a home automation rule includes a condition that includes at least one of the left-side snore/breath parameters and the right-side snore/breath parameters send an instruction to drive a controllable device to the controllable device.

According to an aspect of the invention there is provided a system for use in monitoring one or more physiological states of a user, the system comprising one or more processors configured to: receive a pressure signal representing pressure within a cushioning layer supporting at least a portion of a user and an acoustic signal representing acoustic vibrations within the cushioning layer; and determine, based on the pressure signal and acoustic signal, the one or more physiological states of the user.

Provided is a configuration capable of executing a detection test for a comfort level including the quality of sleep, which is measurable at home without requiring the measurement of brain waves or electrocardiogram. The respiratory waveform of a subject during sleep is continuously measured and recorded from the respiratory gas flow, etc., and is window-Fourier transformed at each measurement time to generate a frequency spectrum, and a bandwidth including a respiratory frequency is extracted. The index indicating the regularity of the respiratory period of the subject is also calculated at each time point during the sleep, and the time-dependency of this index during the sleep is represented as a graph. A medical device includes a sleep evaluation system equipped with a control means for performing control so that a sleep cycle repeated at a cycle of about 90 minutes is clearly observed if the comfort level including the quality of sleep of the subject is favorable.

Embodiments provide physiological measurement systems, devices and methods for continuous health and fitness monitoring. A wearable strap may detect reflected light from a user's skin, where data corresponding to the reflected light is used to automatically and continually determine a heart rate of the user. The wearable strap may monitor heart rate data including heart rate variability, resting heart rate, and sleep quality. The systems may include a processing module that generates an indicator of physical recovery based on the heart rate data. The recovery indicator may be used to determine strain related to an exercise routine, qualitative information on the user's health, whether to alter a user's exercise plan, and so forth.