Özet
Sleep, once thought to form a passive process in human life, is recently discovered to be not so passive with respect to brain activity at all. It has been possible to diagnose both physiological and psychological disorders by the inspection of sleep stages. This paper presents a model for sleep stage detection using EEG, heart rate and galvanic skin response sensors that are affordable and easily accessible. Sleep stage detection system was tested on human subjects using support vector machine and has achieved accuracy of over 87% in sleep stage detection.
| Tercüme edilen katkı başlığı | Sleep stage detection using sensor integration |
|---|---|
| Orijinal dil | Türkçe |
| Ana bilgisayar yayını başlığı | 2017 25th Signal Processing and Communications Applications Conference, SIU 2017 |
| Yayınlayan | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Elektronik) | 9781509064946 |
| DOI'lar | |
| Yayın durumu | Yayınlandı - 27 Haz 2017 |
| Etkinlik | 25th Signal Processing and Communications Applications Conference, SIU 2017 - Antalya, Turkey Süre: 15 May 2017 → 18 May 2017 |
Yayın serisi
| Adı | 2017 25th Signal Processing and Communications Applications Conference, SIU 2017 |
|---|
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| ???event.eventtypes.event.conference??? | 25th Signal Processing and Communications Applications Conference, SIU 2017 |
|---|---|
| Ülke/Bölge | Turkey |
| Şehir | Antalya |
| Periyot | 15/05/17 → 18/05/17 |
Bibliyografik not
Publisher Copyright:© 2017 IEEE.
Keywords
- EEG
- Galvanic Skin Response
- Heart Rate
- Sleep Stage Detection
- Support Vector Machine
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