Title :
Automatic sleep spindle detection and localization algorithm
Author :
Duman, Fazil ; Erogul, Osman ; Telatar, Ziya ; Yetkin, Sinan
Author_Institution :
Dept. of Biomed. Eng., Baskent Univ., Ankara, Turkey
Abstract :
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.
Keywords :
Fourier transforms; electroencephalography; medical signal detection; medical signal processing; sleep; wavelet transforms; EEG signal analysis; Teager operator; automatic sleep spindle detection algorithm; automatic sleep spindle localization algorithm; frequency analysis; short time Fourier transform; wavelet transform; Band-pass filters; Biomedical engineering; Electroencephalography; Fourier transforms; Sleep; Wavelet transforms;
Conference_Titel :
Signal Processing Conference, 2005 13th European
Conference_Location :
Antalya
Print_ISBN :
978-160-4238-21-1
