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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().


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Journal ArticleDOI
27 Jul 2021-Sensors
TL;DR: In this paper, the authors provide context surrounding the complex hardware and software developed by wearable device companies in their attempts to estimate sleep-related phenomena, and outlines considerations and contributing factors for overall device success.
Abstract: Despite prolific demands and sales, commercial sleep assessment is primarily limited by the inability to "measure" sleep itself; rather, secondary physiological signals are captured, combined, and subsequently classified as sleep or a specific sleep state. Using markedly different approaches compared with gold-standard polysomnography, wearable companies purporting to measure sleep have rapidly developed during recent decades. These devices are advertised to monitor sleep via sensors such as accelerometers, electrocardiography, photoplethysmography, and temperature, alone or in combination, to estimate sleep stage based upon physiological patterns. However, without regulatory oversight, this market has historically manufactured products of poor accuracy, and rarely with third-party validation. Specifically, these devices vary in their capacities to capture a signal of interest, process the signal, perform physiological calculations, and ultimately classify a state (sleep vs. wake) or sleep stage during a given time domain. Device performance depends largely on success in all the aforementioned requirements. Thus, this review provides context surrounding the complex hardware and software developed by wearable device companies in their attempts to estimate sleep-related phenomena, and outlines considerations and contributing factors for overall device success.

16 citations

Journal ArticleDOI
TL;DR: Wang et al. as discussed by the authors proposed a multiscale dual attention network (MSDAN) based on raw EEG, which utilizes a 1d CNN to automatically extract features from raw EEG.

16 citations

Book ChapterDOI
22 Jun 2014
TL;DR: A method for detecting sleep patterns based on invisibly installed capacitive proximity sensors integrated into the bed frame and using the movements of the sleeping person to provide a continuous analysis of different sleep phases is presented.
Abstract: Sleep disorders are a wide-spread phenomenon that can gravely affect personal health and well-being. An individual sleep analysis is a first step in identifying unusual sleeping patterns and providing suitable means for further therapy and preventing escalation of symptoms. Typically such an analysis is an intrusive method and requires the user to stay in a sleep laboratory. In this work we present a method for detecting sleep patterns based on invisibly installed capacitive proximity sensors integrated into the bed frame. These sensors work with weak electric fields and do not disturb sleep. Using the movements of the sleeping person we are able to provide a continuous analysis of different sleep phases. The method was tested in a prototypical setup over multiple nights.

16 citations

01 Jul 1986
TL;DR: In this paper, the authors present a sleep management user's guide for field commanders who are responsible for leading men and women to achieve mission objectives in a sustained operation, which consists of four major sections with a final section for conclusions/summary.
Abstract: : This report describes a sleep management (sleep logistics) guide for field commanders who are responsible for leading men and women to achieve mission objectives in a sustained operation. This Sleep Management User's Guide consists of four major sections with a final section for conclusions/summary. Section 1 introduces challenges which the field commanders are facing in sustained operation: management of men and women under his command so as to keep them combat effective days and nights over the duration of sustained operations without proper rest and sleep. Section 2 offers details of what are sustained operations and sleep management, and then explains what kinds of work/rest-sleep and sleep loss problems occur during the pre-deployment, deployment, pre-combat, combat and post-combat phases. Section 3 reviews three ways by which sleep management copes with performance degradation caused by work/rest-sleep and sleep loss problems: identifying the signs of, preventing, and over-coming performance degradation. Section 4 details five psychophysiological techniques by which field commanders manage sleep in field training to assure optimal task performance of men and women under their charge during a future sustained operation. These techniques are: (1) to see if mission requires sleep management, (2) to recognize signs of degradation, (3) to know tolerance to sleep loss, (4) to develop self-control to sleep when the must, and (5) to use aids to measure sleep loss effects. In addition, sleep management requires field commanders to learn more facts about the human need for sleep.

16 citations

Patent
22 Jan 2010
TL;DR: In this article, a method for operating an entrance information system issuing an entrance instruction for a sleeping room in dependence of a sleeping signal from a sleep detector detecting the sleep stage of a person inside the sleeping room was presented.
Abstract: The present invention relates to an entrance information system and a method for operating an entrance information system issuing an entrance instruction for a sleeping room in dependence of a sleeping signal from a sleep detector detecting the sleep stage of a person inside the sleeping room.

16 citations


Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202422
20233,172
20225,977
2021175
2020191
2019236