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().

Sleep in the time of COVID-19: findings from 17000 school-aged children and adolescents in the UK during the first national lockdown

Abstract: Abstract Study Objectives Sleep is essential to young people’s wellbeing, yet may be constricted by the adolescent delayed sleep phase coupled with school start times. COVID-19 restrictions caused major disruptions to everyday routines, including partial school closures. We set out to understand changes in students’ self-reported sleep quality, and associations with mental wellbeing and interpersonal functioning, during these restrictions. Methods The OxWell school survey—a cross-sectional online survey—collected data from 18 642 children and adolescents (aged 8–19 years, 60% female, school year 4–13) from 230 schools in southern England, in June–July 2020. Participants completed self-report measures of the impact of COVID-19 restrictions on sleep quality, happiness, and social relationships. Sleep timing was compared with data collected from 4222 young people in 2019. Results Females and older adolescents were more likely to report deteriorations in sleep during the national lockdown. Regression analysis revealed that changes in happiness (β = .34) and how well students were getting on with others in their household (β = .07) predicted change in sleep quality. Students’ bedtimes and wake times were later, and sleep duration was longer in 2020 compared to the 2019 survey. Secondary school students reported the greatest differences, especially later wake times. Conclusions During COVID-19 restrictions, sleep patterns consistent with adolescent delayed sleep phase were observed, with longer sleep times for secondary school students in particular. Perceived deteriorations in sleep quality were associated with reductions in happiness and interpersonal functioning, highlighting the importance of including sleep measures in adolescent wellbeing research.

Automation for improved sleep quality

Abstract: Historical sleep metrics are accessed. Historical sensor data is accessed. Incidences of low quality sleep experienced by the user are identified. Particular environmental conditions that affected the user during the incidences of low quality sleep are identified. A corrective plan that specifies a change to an environmental control system to reduce the particular environmental conditions is created. The behavior of the environmental control system is modified such that the environmental control system reduces the particular environmental conditions when the user sleeps in the bed.

Ventilatory Drive Withdrawal Rather Than Reduced Genioglossus Compensation as a Mechanism of Obstructive Sleep Apnea in REM Sleep

Abstract: Rationale: REM sleep is associated with reduced ventilation and greater obstructive sleep apnea (OSA) severity than non-REM (nREM) sleep for reasons that have not been fully elucidated. Objectives: Here, we use direct physiological measurements to determine whether the pharyngeal compromise in REM sleep OSA is most consistent with 1) withdrawal of neural ventilatory drive or 2) deficits in pharyngeal pathophysiology per se (i.e., increased collapsibility and decreased muscle responsiveness). Methods: Sixty-three participants with OSA completed sleep studies with gold standard measurements of ventilatory “drive” (calibrated intraesophageal diaphragm EMG), ventilation (oronasal “ventilation”), and genioglossus EMG activity. Drive withdrawal was assessed by examining these measurements at nadir drive (first decile of drive within a stage). Pharyngeal physiology was assessed by examining collapsibility (lowered ventilation at eupneic drive) and responsiveness (ventilation–drive slope). Mixed-model analysis compared REM sleep with nREM sleep; sensitivity analysis examined phasic REM sleep. Measurements and Main Results: REM sleep (⩾10 min) was obtained in 25 patients. Compared with drive in nREM sleep, drive in REM sleep dipped to markedly lower nadir values (first decile, estimate [95% confidence interval], −21.8% [−31.2% to −12.4%] of eupnea; P < 0.0001), with an accompanying reduction in ventilation (−25.8% [−31.8% to −19.8%] of eupnea; P < 0.0001). However, there was no effect of REM sleep on collapsibility (ventilation at eupneic drive), baseline genioglossus EMG activity, or responsiveness. REM sleep was associated with increased OSA severity (+10.1 [1.8 to 19.8] events/h), but this association was not present after adjusting for nadir drive (+4.3 [−4.2 to 14.6] events/h). Drive withdrawal was exacerbated in phasic REM sleep. Conclusions: In patients with OSA, the pharyngeal compromise characteristic of REM sleep appears to be predominantly explained by ventilatory drive withdrawal rather than by preferential decrements in muscle activity or responsiveness. Preventing drive withdrawal may be the leading target for REM sleep OSA.

Apparatus and method for maximum power saving in sleep mode

Abstract: An apparatus and method for an improved sleep mode in a mobile terminal are provided The apparatus includes a transceiver for communicating with a base station, a modem for modulating and demodulating signals for transmission via the transceiver or received via the transceiver, and a controller for controlling a sleep cycle of the mobile terminal, the sleep cycle including a listening window and a sleep window The controller controls the sleep cycle based on an Advanced Mobile Station (AMS) timer, a Hybrid Repeat Request (HARQ) Downlink (DL) Retransmission timer, a HARQ DL Gap timer, and a HARQ Uplink (UL) Gap timer