Conference paper · Journal article
Automatic SLEEP staging: From young aduslts to elderly patients using multi-class support vector machine
Aging is a process that is inevitable, and makes our body vulnerable to age-related diseases. Age is the most consistent factor affecting the sleep structure. Therefore, new automatic sleep staging methods, to be used in both of young and elderly patients, are needed. This study proposes an automatic sleep stage detector, which can separate wakefulness, rapid-eye-movement (REM) sleep and non-REM (NREM) sleep using only EEG and EOG.
Most sleep events, which define the sleep stages, are reduced with age. This is addressed by focusing on the amplitude of the clinical EEG bands, and not the affected sleep events. The age-related influences are then reduced by robust subject-specific scaling. The classification of the three sleep stages are achieved by a multi-class support vector machine using the one-versus-rest scheme.
It was possible to obtain a high classification accuracy of 0.91. Validation of the sleep stage detector in other sleep disorders, such as apnea and narcolepsy, should be considered in future work.
| Language: | English |
|---|---|
| Publisher: | IEEE |
| Year: | 2013 |
| Pages: | 5777-5780 |
| Proceedings: | 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society |
| ISBN: | 1457702150 , 1457702169 , 9781457702150 and 9781457702167 |
| ISSN: | 1557170x , 23757477 and 26940604 |
| Types: | Conference paper and Journal article |
| DOI: | 10.1109/EMBC.2013.6610864 |
| ORCIDs: | Sorensen, Helge B. D. , Christensen, Julie A. E. and 0000-0001-6986-5254 |
Engineered Materials, Dielectrics and Plasmas diseases electro-oculography electroencephalography geriatrics medical disorders medical signal detection signal classification sleep support vector machines
Accuracy Adult Aged Aging Algorithms Band-pass filters EOG Electroencephalography Electrooculography Female Humans Male Middle Aged REM Sleep Behavior Disorder Senior citizens Sleep Sleep Stages Sleep Wake Disorders Support Vector Machine Support vector machines Wakefulness age-related diseases apnea automatic SLEEP staging automatic sleep stage detector automatic sleep staging method clinical EEG band amplitude multiclass support vector machine narcolepsy nonREM sleep one-versus-rest scheme rapid-eye-movement sleep sleep disorders sleep event sleep structure subject-specific scaling three sleep stage classification wakefulness
