Development of decision support system for automatic sleep stage scoring
| Autor: | Irem Balcik, Aykut Erdamar, Gizem Gulhan, Tugce Kantar |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Sleep Stages
medicine.medical_specialty Decision support system medicine.diagnostic_test Computer science 02 engineering and technology Polysomnography Electrooculography Audiology Electroencephalography 03 medical and health sciences 0302 clinical medicine 0202 electrical engineering electronic engineering information engineering medicine 020201 artificial intelligence & image processing Night sleep Sleep (system call) Sensitivity (control systems) 030217 neurology & neurosurgery |
| Zdroj: | SIU |
| DOI: | 10.1109/siu.2018.8404489 |
| Popis: | In the diagnosis of sleep disorders, analyzing the patient's sleep stage scores is the basic clinical procedure. The signals obtained from the polysomnography device are used in the sleep stage scoring studies. The polysomnography device records the physiological signals from different channels through electrodes during patients' night sleep. Aim of the study is developing a decision support system which determines the state of sleep and wakefullness by using only one channel electroencephalography signal. The amplitude and frequency values of the sub-bands of the electroencephalogram signal change in the sleep stages. Accordingly, five attributes were determined and classified using support vector machines As a result of the classification study, accuracy, sensitivity and specificity values were calculated for the performance evaluation of the algorithm. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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