Sleep DeprivationElectroencephalographyBody TemperatureSleepSleep StagesCircadian RhythmHum Neurobiol. 1982;1(3):195-204. Comparative Study; Research Support, Non-U.S. Gov'tdoi:10.1007/978-3-540-29678-2_6166A. A. A. BorbelyHum Neurobiol
A. A two process model of sleep regulation. Hum. Neurobiol. 1, 195–204 (1982). A classical study on sleep regulation by both homeostatic and circadian mechanisms. CAS PubMed Google Scholar Altimus, C. M. et al. Rods-cones and melanopsin detect light and dark to modulate sleep ...
A two process model of sleep regulation. Hum. Neurobiol. 1, 195–204 (1982). PubMed Google Scholar Phillips, A. J. K., Czeisler, C. A. & Klerman, E. B. Revisiting spontaneous internal desynchrony using a quantitative model of sleep physiology. J. Biol. Rhythms 26, 441–453 (...
The Theory of Cumulative Stress Ok, But Can You Catch Up on Sleep? II. How Sleep Works The Sleep-Wake Cycle Age-Related Sleep Changes The Circadian Rhythm The 2-Process Model of Sleep Regulation III. How to Sleep Better How to Fall Asleep Fast How to Improve Sleep Quality and Duration ...
The two-process model of sleep regulation is a valuable framework for understanding and predicting sleep-wake behavior in young humans. Such knowledge is important for improving anticipatory guidance, parental education, and patient care, as well as for developing appropriate social policies. 展开 ...
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Behaviours such as reduced parental limit setting as well as a high level of assistance in the child falling asleep, such as soothing the child to sleep, are related to the development of sleeping problems in young children. Such behaviours may interfere with the development of self-regulation ...
Natural D-serine (D-Ser) has been detected in animals more than two decades ago, but little is known about the physiological functions of D-Ser. Here we reveal sleep regulation by endogenous D-Ser. Sleep was decreased in mutants defective in D-Ser s
Artifacts in the Electrocardiogram (ECG) degrade the quality of the recorded signal and are not conducive to heart rate variability (HRV) analysis. The two types of noise most often found in ECG recordings are technical and physiological artifacts. Curre