Automated detection of sleep stages using energy-localized orthogonal wavelet filter banks
Sleep is an integral part of human life which provides the body with much-needed rest which facilitates recovery and promotes health. Sleep disorders, however, lead to a reduced quality of sleep and as a result, affect the standard of human life. It is important to classify sleep stages in order to...
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| Main Authors: | , , , |
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| Format: | Article |
| Published: |
Springer Heidelberg
2020
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| Subjects: | |
| Online Access: | http://eprints.um.edu.my/37252/ |
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