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().

The challenge of sleep management in military operations.

Abstract: It has long been known that short-term (days) insufficient sleep causes decrements in mental effectiveness that put individuals at increased risk of committing errors and causing accidents More recently, it has been discovered that chronic poor sleep (over years) is associated with a variety of negative health outcomes (metabolic syndrome, obesity, degraded behavioral health) Implementing an effective sleep health program is, therefore, in the best interests of active duty personnel and their families both in the short- and long-term Like managing physical activity or nutrition, effectively managing sleep health comes with its unique set of challenges arising from the fact that individuals who routinely do not obtain sufficient sleep are generally desensitized to feeling sleepy and are poor at judging their own performance capabilities--and individuals cannot be compelled to sleep For these reasons, an optimally effective sleep health program requires 3 components: (1) a rigorous, evidence-based sleep education component to impart actionable knowledge about optimal sleep amounts, healthy sleep behaviors, the known benefits of sleep, the short- and long-term consequences of insufficient sleep, and to dispel myths about sleep; (2) a nonintrusive device that objectively and accurately measures sleep to empower the individual to track his/her own sleep/wake habits; and (3) a meaningful, actionable metric reflecting sleep/wake impact on daily effectiveness so that the individual sees the consequences of his/her sleep behavior and, therefore, can make informed sleep health choices

Impact of Sleep Telemedicine Protocol in Management of Sleep Apnea: A 5-Year VA Experience

Abstract: Background: There is growing evidence that demonstrates an important role for telemedicine technologies in enhancing healthcare delivery. A comprehensive sleep telemedicine protocol was implemented at the Veterans Administration Medical Center (VAMC), Milwaukee, WI, in 2008 in an effort to improve access to sleep specialty care. The telemedicine protocol relied heavily on sleep specialist interventions based on chart review (electronic consult [e-consult]). This was done in response to long wait time for sleep clinic visits as well as delayed sleep study appointments. Since 2008 all consults are screened by sleep service to determine the next step in intervention. Based on chart review, the following steps are undertaken: (1) eligibility for portable versus in-lab sleep study is determined, and a sleep study order is placed accordingly, (2) positive airway pressure (PAP) therapy is prescribed for confirmed sleep apnea, and (3) need for in-person evaluation in the sleep clinic is determined, and t...

Deep Convolutional Network Method for Automatic Sleep Stage Classification Based on Neurophysiological Signals

Abstract: The accurate interpretation of sleep stages has a very important significance in the diagnosis of sleep disorders and the assessment of sleep health. The visual inspection on sleep staging required qualified skill and enough clinical experience. Usually, the visual inspection on one's overnight sleep recording takes 1 2 hours. The automatic sleep stage interpretation can reduce the laborious task of visual inspection. In this study, a deep convolutional network model was developed for automatic sleep stage classification based on neurophysiological signals. The residual module is utilized to increase the depth of the network to extract the multi-level features of the sleep stages. The long-short term memory (LSTM) is used to learn the sleep transition mechanism during sleep process. 20-fold cross validation experiment was performed. The results showed that the developed model achieved an accuracy of 81.0 and 73.6 of the macro-averaging F1-score (MF1).

Base and mobile stations including enhanced sleep mode

Abstract: A method and system for providing an enhanced sleep mode for remote units in a radiocommunication system are described. Measurement periodicity for control channels of neighboring cells is optimized. Paging frame classes can also be temporarily modified to extend sleep periods.