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Coping with Fatigue
Published in Rhona Flin, Paul O’Connor, Margaret Crichton, Safety at the Sharp End, 2008
Rhona Flin, Paul O’Connor, Margaret Crichton
Stage 5: Rapid eye movement (REM) sleep. This is the stage in which dreams occur It is characterised by rapid eye movements behind the closed eyelids. Muscles relax, heart rate and brainwaves speed up, and breathing becomes rapid and shallow. There are several periods of REM sleep in a normal night’s sleep. The first period is short (5–10 minutes), but they become longer as the night progresses (see Figure 8.2). There is some evidence suggesting that REM sleep is particularly important for storing memories.
The Impact of Technology on Mental Health
Published in Bahman Zohuri, Patrick J. McDaniel, Electrical Brain Stimulation for the Treatment of Neurological Disorders, 2019
Bahman Zohuri, Patrick J. McDaniel
REM sleep is a kind of sleep that occurs at intervals during the night and is characterized by rapid eye movement, more dreaming and bodily movement, and faster pulse and breathing. (see Figure 4.24).
Analyzing the dynamics of sleep electroencephalographic (EEG) signals with different pathologies using threshold-dependent symbolic entropy
Published in Waves in Random and Complex Media, 2021
Lal Hussain, Saeed Arif Shah, Wajid Aziz, Syed Nadeem Haider Bukhari, Kashif Javed Lone, Quratul-Ain Chaudhary
Sleep is characterized by reduced sensory activity, reduced responsiveness to stimuli, and conscious awareness in comparison to the wakefulness [1]. A sleep-wake transition [2] concept can describe the basic model of sleep homeostasis. In humans, the sleep stages are conventionally classified as wake, rapid eye movement (REM) sleep, and non-REM sleep based on electroencephalographic (EEG) patterns, consisting of about 80% for entire sleep [3]. These sleep stages are dynamic transitions between various physiological states switching between the dual stable and unstable conditions to permit the environmental adaptations and to achieve the mental and physical restoration [4]. By employing the analysis of electroencephalography (EEG) signal, the quantification of sleep stages has always remained a challenge for the researchers for years. Visual sleep stage scoring does not fully capture the intrinsic dynamics of EEG activity [5].