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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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Patent
13 May 1996
TL;DR: Improved methodology and apparatus for the clinical study and treatment of sleep apnea which incorporates one or more of the following features: (1) application of mono-level, alternating high and low level, or variable positive airway pressure generally within the airway of the patient with the monolevel, high level, etc. as discussed by the authors, and (2) usage of adjustably programmable pressure ramp circuitry capable of producing multiple pressure ramp cycles of predetermined duration and pattern.
Abstract: Improved methodology and apparatus for the clinical study and treatment of sleep apnea which incorporates one or more of the following features: (1) application of mono-level, alternating high and low level, or variable positive airway pressure generally within the airway of the patient with the mono-level, high and low level, or variable airway pressure generally being coordinated with and/or responsive to the spontaneous respiration of the patient, (2) usage of adjustably programmable pressure ramp circuitry capable of producing multiple pressure ramp cycles of predetermined duration and pattern whereby the ramp cycles may be customized to accommodate the specific needs of an individual sleep apnea patient so as to ease the patient's transition from wakefulness to sleep, (3) remote control or patient-sensed operation of the apparatus, (4) employment of safety circuitry, reset circuitry and minimum system leak assurance circuitry, controls and methods, and (5) utilization of clinical control circuitry whereby sleep disorder data may be compiled and appropriate therapy implemented during a one-night sleep study.

130 citations

Journal ArticleDOI
01 May 2018-Sleep
TL;DR: A novel framework for performing real-time automatic sleep stage classification is developed and used to facilitate the automatic delivery of acoustic stimuli at targeted phase of slow-sleep oscillations to enhance slow-wave sleep.
Abstract: Sleep staging is a fundamental but time consuming process in any sleep laboratory. To greatly speed up sleep staging without compromising accuracy, we developed a novel framework for performing real-time automatic sleep stage classification. The client-server architecture adopted here provides an end-to-end solution for anonymizing and efficiently transporting polysomnography data from the client to the server and for receiving sleep stages in an interoperable fashion. The framework intelligently partitions the sleep staging task between the client and server in a way that multiple low-end clients can work with one server, and can be deployed both locally as well as over the cloud. The framework was tested on four datasets comprising ≈1700 polysomnography records (≈12000 hr of recordings) collected from adolescents, young, and old adults, involving healthy persons as well as those with medical conditions. We used two independent validation datasets: one comprising patients from a sleep disorders clinic and the other incorporating patients with Parkinson's disease. Using this system, an entire night's sleep was staged with an accuracy on par with expert human scorers but much faster (≈5 s compared with 30-60 min). To illustrate the utility of such real-time sleep staging, we used it to facilitate the automatic delivery of acoustic stimuli at targeted phase of slow-sleep oscillations to enhance slow-wave sleep.

126 citations

Patent
30 Sep 2016
TL;DR: In this article, a method for placing a first processor in a sleep operating mode and running a second processor that is operative to wake the first processor from the sleep operation in response to a speech command phrase is described.
Abstract: A method include placing a first processor in a sleep operating mode and running a second processor that is operative to wake the first processor from the sleep operating mode in response to a speech command phrase. The method includes identifying, by the second processor, a speech command phrase segment and performing a control operation in response to detecting the segment in detected speech. The control operation is performed while the first processor is maintained in the sleep operating mode.

124 citations

Journal ArticleDOI
TL;DR: In this article, the authors evaluated the effect of a school-based sleep hygiene program on the sleep cycle, sleep quality and sleepiness in 58 Brazilian adolescent students, and found that the program was effective in reducing sleep irregularity and latency and advancing nap-wake up.
Abstract: Adolescents present with sleep timing delay, irregular sleep-wake (SW) schedules and short sleep duration (<7 h) on school days, all resulting from biological and behavioral factors. To minimize this, we evaluated the effect of a school-based sleep hygiene program on the SW cycle, sleep quality and sleepiness in 58 Brazilian adolescent students. The sleep hygiene program lasted a week and consisted of a daily 50 min activity, such as a sleep physiology class, constructing a sleep ontogeny map, discussing the causes and consequences of adolescent short sleep duration and a quiz about sleep hygiene statements. After this, the students showed a reduction in their index of sleep irregularity (represented by standard deviation from bedtime), their sleep latency decreased and their nap-wake up schedule advanced. Their sleep quality and daytime sleepiness showed no difference. The program was effective in reducing sleep irregularity and latency and advancing nap awaking but could be improved and extended to a larger sample to achieve a better evaluation.

124 citations

Journal ArticleDOI
TL;DR: The argument of the present comment is that sleep staging was appropriate as long as sleep biosignals were recorded in the analog mode as curves on paper, whereas this staging may be insufficient for digitally recorded and stored sleep data.
Abstract: Visual sleep scoring is the obligatory reference for sleep analysis. An essential step in sleep scoring is sleep staging. This technique was first described in 1937 and later adapted 3 times: first, in 1957, after the detection of rapid eye movement (REM) sleep, when electrooculography (EOG) was added; second, in 1968, when sleep staging was standardized and electromyography (EMG) was added; and third, in 2007, to integrate accumulated knowledge from sleep science, adding arousals and respiratory, cardiac, and movement events. In spite of the dramatic changes that have taken place in recording and storing techniques, sleep staging has undergone surprisingly few changes. The argument of the present comment is that sleep staging was appropriate as long as sleep biosignals were recorded in the analog mode as curves on paper, whereas this staging may be insufficient for digitally recorded and stored sleep data. Limitations of sleep staging are critically discussed and alternative strategies of sleep analysis are emphasized.

124 citations


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