Automatic sleep spindle detection and localization algorithm
13th European Signal Processing Conference, EUSIPCO 2005, Antalya, Türkiye, 4 - 08 Eylül 2005, (Tam Metin Bildiri)
- Yayın Türü: Bildiri / Tam Metin Bildiri
- Basıldığı Şehir: Antalya
- Basıldığı Ülke: Türkiye
- Sağlık Bilimleri Üniversitesi Adresli: Evet
Özet
In this study, a new approach is presented for analysis of EEG signals and detection and localization of sleep spindles. For automatic detection of sleep spindles, short term frequency analysis is applied to EEG data. Short Time Fourier Transform, and Wavelet Transform are used extensively. After the detection of sleep spindles, Teager Operator is applied to determine the duration of the spindle. By this approach we achieved 92% true localization of sleep spindles.