Sleep (system call)

About: Sleep (system call) is a research topic. Over the lifetime, 2633 publications have been published within this topic receiving 27806 citations. The topic is also known as: Sleep() & sleep().

Development of a sleep monitoring system with wearable vital sensor for home use

Abstract: This paper describes a new sleep monitoring system for home use. The basic system consists of a wearable physiological sensor and PC software for analyzing sleep quality from user’s wrist motion and heart rate variability. Different from a conventional sleep monitoring device used in a hospital, the sensor is so small and easy-to-use that a normal person can use it at home. This means that the system is useful for a sleep specialist who wants to check a patient's daily sleep pattern. The system can also be used for self-care. We have developed a wrist-watch-shaped physiological sensor that monitors user’s wrist motion and pulse wave interval. We have also developed the algorithm for computing the quality of sleep from these physiological data on PC. Although sleep is a kind of brain activity and our sensor can not directly measure it, the output of our algorithm is close to medically evaluated sleep quality. We performed dozens of comparison experiments and found that its accuracy was about 73.5% on average. The value of the accuracy is enough for assessing a normal person’s sleep quality.

Sleep monitoring device

Abstract: PROBLEM TO BE SOLVED: To provide a sleep monitoring device for indexing a sleep state and enabling a user to measure his/her sleep state and easily recognize what should be done to improve sleep. SOLUTION: In the sleep monitoring device, a physiological state during sleep is recorded, sleep conditions are calculated from recorded sleep physiological data, an evaluation value for each specified sleep evaluation item is calculated from the sleep conditions, sleep evaluation determination is performed by referring to a sleep evaluation value database, a corresponding sleep improving point and/or sleep improving method is selected on the basis of a sleep evaluation stage by referring to a sleep improvement advice database further, and the respective evaluation values of the sleep evaluation items and sleep improvement advices are displayed on a screen of a display means and presented to a user. COPYRIGHT: (C)2008,JPO&INPIT

Sleep aid device and method, program and recording medium

Abstract: Disclosed herein is a sleep aid device including: an electrode arranged on the surface of a pillow in such a manner as to come into contact with the scalp of a user; a brain wave signal acquisition section adapted to acquire a brain wave signal of the user via the electrode; an analysis section adapted to analyze the acquired brain wave signal; and a control section adapted to control the execution of a preset process according to the sleep stage representing the depth of sleep of the user identified by the analysis result.

The brain structure and genetic mechanisms underlying the nonlinear association between sleep duration, cognition and mental health

Abstract: Sleep duration, psychiatric disorders and dementias are closely interconnected in older adults. However, the underlying genetic mechanisms and brain structural changes are unknown. Using data from the UK Biobank for participants primarily of European ancestry aged 38–73 years, including 94% white people, we identified a nonlinear association between sleep, with approximately 7 h as the optimal sleep duration, and genetic and cognitive factors, brain structure, and mental health as key measures. The brain regions most significantly underlying this interconnection included the precentral cortex, the lateral orbitofrontal cortex and the hippocampus. Longitudinal analysis revealed that both insufficient and excessive sleep duration were significantly associated with a decline in cognition on follow up. Furthermore, mediation analysis and structural equation modeling identified a unified model incorporating polygenic risk score (PRS), sleep, brain structure, cognition and mental health. This indicates that possible genetic mechanisms and brain structural changes may underlie the nonlinear relationship between sleep duration and cognition and mental health. Change in sleep patterns is an important feature of the aging process. This study shows that sleep duration is nonlinearly associated with mental health and cognition measures in the 38- to 73-year-old population, with underlying brain and genetic mechanisms.