Detection of Micro-sleep Patterns Used in Automatic Slow Wave Sleep Deprivation
نویسندگان
چکیده
Sleep deprivation can be used to investigate the physiology and pathology of human sleep. Previously, human sleep deprivation has been done manually by a sleep expert performing visual online interpretation of the electroencephalogram (EEG). When the subject enters the stage of sleep to deprive the sleep expert disturbs the sleep manually by touching the subject or by activating some kind of stimulation. This is a time consuming task and might cause large variations in the results.
منابع مشابه
Automatic Sleep Stages Detection Based on EEG Signals Using Combination of Classifiers
Sleep stages classification is one of the most important methods for diagnosis in psychiatry and neurology. In this paper, a combination of three kinds of classifiers are proposed which classify the EEG signal into five sleep stages including Awake, N-REM (non-rapid eye movement) stage 1, N-REM stage 2, N-REM stage 3 and 4 (also called Slow Wave Sleep), and REM. Twenty-five all night recordings...
متن کاملA Multi-Sensor Platform for Microcurrent Skin Stimulation during Slow Wave Sleep
Insufficient and low quality sleep is related to several health issues and social outcomes. Regular sleep study conducted in a sleep laboratory is impractical and expensive. As a result, miniature and non-invasive sleep monitoring devices provide an accessible sleep data. Though not as accurate as polysomnography, these devices provide useful data to the subject by tracking sleep patterns regul...
متن کاملSleep deprivation as a probe of homeostatic sleep regulation in primary alcoholics.
BACKGROUND Alcoholic patients show prominent disturbances of sleep electroencephalograms (EEGs) with a marked loss of slow wave sleep that is even more profound in African American alcoholics as compared to European Americans. Using partial sleep deprivation, this study examined the extent to which abnormal sleep is reversible in alcoholic subjects. METHODS In a sample stratified on ethnicity...
متن کاملIntroduction of low to high frequencies bispectrum rate feature for deep sleep detection from awakening by electroencephalogram
Background: Accurate detection of deep sleep (Due to the low frequency of the brain signal in this part of sleep, it is also called slow-wave sleep) from awakening increases the sleep staging accuracy as an important factor in medicine. Depending on the time and cost of manually determining the depth of sleep, we can automatically determine the depth of sleep by electroencephalogram (EEG) signa...
متن کاملEffects of method, duration, and sleep stage on rebounds from sleep deprivation in the rat.
Total sleep deprivation (TSD) of rats for 24 hours or less by continually enforced locomotion has consistently produced subsequent rebounds of slow-wave or high-amplitude EEG activity in NREM sleep, which has contributed to the widely held view that this EEG activity reflects particularly "intense" or restorative sleep. These rebounds usually have been accompanied by substantial rebounds of REM...
متن کامل