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().

Circuits and methods for sleep state leakage current reduction

Abstract: A circuit (100) for reducing sleep state current leakage is described. The circuit (100) includes a hardware unit (102) selected from at least one of a latch, a flip-flop, a comparator, a multiplexer, or an adder. The hardware unit (102) includes a first node (110). The hardware unit further includes a sleep enabled combinational logic (104) coupled to the first node, wherein a value of the first node is preserved during a sleep state.

The 103,200-arm acceleration dataset in the UK Biobank revealed a landscape of human sleep phenotypes

Abstract: Significance Human sleep phenotypes are diversified by genetic and environmental factors, and a quantitative classification of sleep phenotypes would lead to the advancement of biomedical mechanisms underlying human sleep diversity. To achieve that, a pipeline of data analysis, including a state-of-the-art sleep/wake classification algorithm, the uniform manifold approximation and projection (UMAP) dimension reduction method, and the density-based spatial clustering of applications with noise (DBSCAN) clustering method, was applied to the 100,000-arm acceleration dataset. This revealed 16 clusters, including seven different insomnia-like phenotypes. This kind of quantitative pipeline of sleep analysis is expected to promote data-based diagnosis of sleep disorders and psychiatric disorders that tend to be complicated by sleep disorders.

Design and Implementation of IoT based sleep monitoring system for Insomniac people

Abstract: Sleep deprivation is a major issue driving attention in the medical and healthcare department. There are some traditional approaches, such as polysomnography, medical counselling which are usually expensive and, in those process, person needs to stay overnight at clinics, and there has been a need of cheap solution for sleep monitoring system throughout the night. So, there is a need of a low-cost sleep monitoring system which can be used conveniently at home. In this paper, a solution which is a low-cost multimodality sensor-based system, such as MAX30102 and MPU6050 accelerometer and gyroscope that monitors heart rate sensor, body temperature and position of the sleeping body has been proposed. These sensors will be interfaced with ESP32 microcontroller, and these sensors will collect all the data throughout the night and will send it to cloud which will be visible to user on the base station. At the morning the patient can see abnormality in the quality of sleep and can consult the doctor as well.

Sleep environment monitoring system and smart home system for improving sleep quality

Abstract: The invention discloses a sleep environment monitoring system and a smart home system for improving the sleep quality The sleep environment monitoring system comprises a sleep environment data acquisition device, a host and terminal equipment; the sleep environment data acquisition device and the terminal equipment are connected with the host through a wired or wireless network; the sleep environment data acquisition device is used for acquiring relevant indexes of sleep health and relevant data of a sleep environment through various sensors; and the host is used for receiving and calculating the data acquired by the sleep environment data acquisition device and displaying the calculated data on the terminal equipment According to the sleep environment monitoring system and the smart home system for improving the sleep quality, environment parameters relevant with sleep are monitored by using information management technology, so that a good sleep environment is created, the purpose of improving sleep can be fulfilled, and human health is promoted