Introduction 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 dept...
| Main Authors: | , , |
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| Format: | Article |
| Language: | fas |
| Published: |
Tehran University of Medical Sciences
2018-08-01
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| Series: | Tehran University Medical Journal |
| Subjects: | |
| Online Access: | http://tumj.tums.ac.ir/browse.php?a_code=A-10-3666-71&slc_lang=en&sid=1 |