Development of an automatic sleep-wake staging method for rats
| Autor: | Ting-Ying Wei, Chung-Ping Young |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
0301 basic medicine
Normalization (statistics) Scoring system medicine.diagnostic_test Computer science musculoskeletal neural and ocular physiology Speech recognition Sleep wake Electroencephalography Non-rapid eye movement sleep 03 medical and health sciences 030104 developmental biology 0302 clinical medicine mental disorders medicine Stage (cooking) Staging system psychological phenomena and processes 030217 neurology & neurosurgery |
| Zdroj: | MeMeA |
| Popis: | The study proposed an automated sleep-wake scoring system by using the features of electroencephalogram (EEG) and electromyogram (EMG). The method of normalization has been used to reduce the difference of features between the subjects. The proposed system would automatically discriminate the sleep-wake states into both three-state (waking, NREM and REM) and five-state (waking, NREM stage 1, NREM stage 2, transition sleep, and REM). The automated scoring results were compared with the manual scoring results that scored by the experts. The results of global agreement between the automated scoring and experts consensus in three-state scoring are 92.5% (κ=0.88) and 95.3% (κ=0.91) in five-state scoring. The results indicated that the performance of the automated sleep-wake staging system has highly reliability and accuracy. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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