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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().


Papers
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Patent
30 Oct 2013
TL;DR: In this article, a closed loop feedback path is formed between the signal collection module, signal processing module, the mode recognition module as well as a sleep leading module and a user sequentially.
Abstract: Disclosed is an insomnia treatment instrument which comprises a signal collection module, a signal processing module, a mode recognition module, a sleep leading module and a power source module. A closed loop feedback path is formed between the signal collection module, the signal processing module, the mode recognition module as well as a sleep leading module and a user sequentially. By the closed loop feedback path, sleep leading and stimulating modes can be adjusted more effectively in real time according to sleep states of a human body to enable the human body to be in a sleep state more comfortably and naturally.

18 citations

Journal ArticleDOI
TL;DR: In this article, the authors validate a contactless monitoring system on eight patients with a high likelihood of relevant obstructive sleep apnea, which are enrolled for a sleep study at a specialized sleep center.
Abstract: Polysomnography (PSG) is the current gold standard for the diagnosis of sleep disorders. However, this multi-parametric sleep monitoring tool also has some drawbacks, e.g. it limits the patient's mobility during the night and it requires the patient to come to a specialized sleep clinic or hospital to attach the sensors. Unobtrusive techniques for the detection of sleep disorders such as sleep apnea are therefore gaining increasing interest. Remote photoplethysmography using video is a technique which enables contactless detection of hemodynamic information. Promising results in near-infrared have been reported for the monitoring of sleep-relevant physiological parameters pulse rate, respiration and blood oxygen saturation. In this study we validate a contactless monitoring system on eight patients with a high likelihood of relevant obstructive sleep apnea, which are enrolled for a sleep study at a specialized sleep center. The dataset includes 46.5 hours of video recordings, full polysomnography and metadata. The camera can detect pulse and respiratory rate within 2 beats/breaths per minute accuracy 92% and 91% of the time, respectively. Estimated blood oxygen values are within 4 percentage points of the finger-oximeter 89% of the time. These results demonstrate the potential of a camera as a convenient diagnostic tool for sleep apnea, and sleep disorders in general.

18 citations

Journal ArticleDOI
TL;DR: In this article , the authors identify a critical role of sleep and dopaminergic activity in the development of social interaction behavior in the Shank3-mutant mice, improving sleep or rectifying VTA activity during adolescence ameliorates adult social deficits.
Abstract: Sleep disturbances frequently occur in neurodevelopmental disorders such as autism, but the developmental role of sleep is largely unexplored, and a causal relationship between developmental sleep defects and behavioral consequences in adulthood remains elusive. Here, we show that in mice, sleep disruption (SD) in adolescence, but not in adulthood, causes long-lasting impairment in social novelty preference. Furthermore, adolescent SD alters the activation and release patterns of dopaminergic neurons in the ventral tegmental area (VTA) in response to social novelty. This developmental sleep function is mediated by balanced VTA activity during adolescence; chemogenetic excitation mimics, whereas silencing rescues, the social deficits of adolescent SD. Finally, we show that in Shank3-mutant mice, improving sleep or rectifying VTA activity during adolescence ameliorates adult social deficits. Together, our results identify a critical role of sleep and dopaminergic activity in the development of social interaction behavior.

18 citations

Journal ArticleDOI
TL;DR: Results show that, even in the absence of an actual call, sleep during on‐call nights is of lower quality and has less restorative value – especially when being on‐ call is experienced as stressful.
Abstract: The aim of this study was to: (i) gain more insight into the relationship between being on-call and sleep and (ii) investigate the role of stress in this relationship. Data were collected by means of an experimental field study with a within-subject design (two conditions, random order). Ninety-six students participated during two consecutive nights: a reference night and a simulated on-call night without an actual call. Participants were told they could be called at any time during the on-call night. In the case of a call, participants had to perform online tasks for approximately 30 min. Self-reported sleep quality and the extent to which participants experienced stress during the on-call period were assessed by means of short questionnaires. Actigraphy was used to obtain objective sleep measures. Results for actigraphy data revealed no significant within-person differences between conditions. However, participants reported longer sleep onset latencies, more awakenings and more wake after sleep onset during the on-call night than during the reference night. They also reported more sleep problems and a lower overall sleep quality, and felt less recuperated after the on-call night. Perceived stress moderated the relationship between being on-call, on one hand, and the number of awakenings, wake after sleep onset, sleep problems and overall sleep quality, on the other hand. Results show that, even in the absence of an actual call, sleep during on-call nights is of lower quality and has less restorative value - especially when being on-call is experienced as stressful.

18 citations

Patent
11 Jun 2008
TL;DR: An apparatus of managing quality of sleep includes a weight sensor unit including a plurality of pressure sensors which detect pressures in response to a presence and a movement of a user; an environment sensor including multiple sensors, which detect an environment surrounding the user in a sleep; and a controller for collecting and analyzing information, detected by both the sensor unit and the environment sensor unit, and classifying and managing the analyzed information according to quality of sleeping as discussed by the authors.
Abstract: An apparatus of managing quality of sleep includes a weight sensor unit including a plurality of pressure sensors, which detect pressures in response to a presence and a movement of a user; an environment sensor including multiple sensors, which detect an environment surrounding the user in a sleep; and a controller for collecting and analyzing information, detected by the weight sensor unit and the environment sensor unit, and classifying and managing the analyzed information according to quality of sleep. The apparatus provides an optimized sleep environment adequate for a subject by learning various sleep environments, and provides a comfortable and cozy sleep environment to the subject to restore energy and be refreshed, so that the subject can enjoy energetic and effective daytime life.

18 citations


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