Title :
Enhanced high resolution spectral analysis of sleep spindles
Author :
Caspary, O. ; Tomczak, M. ; Renzo, N. Di ; Amady, M. Mouzé ; Henry, D.
Author_Institution :
Centre de Recherche en Autom. de Nancy, Vandoeuvre, France
Abstract :
A method to extract the spectral components from spindles of sleep electroencephalograms (EEG) is proposed. High resolution (HR) spectral methods are used which yield better results than Fourier transform (FT) or parametric estimators. A zoom function is produced to reduce their numerical complexity and increase their resolution. The method allows to clearly separate the different spectral components (spindles, K complexes, background activity), and should be considered for spectral analysis of various short EEG transients
Keywords :
electroencephalography; Fourier transform; K complexes; background activity; enhanced high resolution spectral analysis; numerical complexity reduction; parametric estimators; resolution improvement; short EEG transients; sleep spindles spectral analysis; spectral components extraction method; zoom function; Covariance matrix; Frequency estimation; Integrated circuit testing; Multiple signal classification; Sleep; Spectral analysis; Stability; Tiles;
Conference_Titel :
Engineering in Medicine and Biology Society, 1994. Engineering Advances: New Opportunities for Biomedical Engineers. Proceedings of the 16th Annual International Conference of the IEEE
Conference_Location :
Baltimore, MD
Print_ISBN :
0-7803-2050-6
DOI :
10.1109/IEMBS.1994.415408
