2013
DOI: 10.1002/wics.1261
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Electroencephalogram‐sleep study

Abstract: The study of sleep, and in particular electroencephalogram (EEG)-sleep recordings, is important in several areas of medicine. Next to pain, sleep anomalies are the most significant indicators of illness. During sleep the human brain goes through several physiological stages; therefore, the problem of automated detection of sleep stages using EEG data naturally arises in neurosciences. A two step procedure of computerized scoring of sleep stages is considered, with the first step involving features extractions … Show more

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Cited by 1 publication
(4 citation statements)
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“…Due to the connections between sleep and other neurological and physiological processes, systems, and health outcomes many researchers will fnd a need to incorporate sleep information in the form of sleep stage scoring into their research ( [2], [13]). The long-accepted process of sleep stage scoring has relied on the visual analysis by at least one expert of EEGs in combination with electromyograms (EMGs), which measure muscle activity ( [23]). Researchers fnd that EMGs help to diferentiate between Wake and REM since EEGs do not provide enough evidence on their own ( [20]).…”
Section: List Of Figures Introductionmentioning
confidence: 99%
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“…Due to the connections between sleep and other neurological and physiological processes, systems, and health outcomes many researchers will fnd a need to incorporate sleep information in the form of sleep stage scoring into their research ( [2], [13]). The long-accepted process of sleep stage scoring has relied on the visual analysis by at least one expert of EEGs in combination with electromyograms (EMGs), which measure muscle activity ( [23]). Researchers fnd that EMGs help to diferentiate between Wake and REM since EEGs do not provide enough evidence on their own ( [20]).…”
Section: List Of Figures Introductionmentioning
confidence: 99%
“…A common tool for analyzing EEG signals for the purpose of sleep scoring is spectral analysis, which is a method of decomposing the signal into frequency components ( [23], [29]). Spectral analysis refers to the process of decomposition of a complex time series signal CHAPTER 1.…”
Section: Spectral Analysis Introductionmentioning
confidence: 99%
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