Title :
Multiple Windows for Estimation of Locally Stationary Transients in the Electroencephalogram
Author :
Hansson, Maria ; Sandberg, Johan
Author_Institution :
Dept. of Mathematical Stat., Lund Univ.
Abstract :
In this paper, multiple windows, optimal for locally stationary processes (MW-LSP) are used to estimate the spectrogram of the electroencephalogram (EEG) where we focus on the ability to estimate transient frequency changes. A peak of known frequency was evoked in the EEG spectrum in a predetermined time interval, by using a 9 Hz flickering light. We investigate the multiple windows corresponding to the mean squared error optimal time-frequency kernel for estimation of the Wigner-Ville spectrum. The kernel is optimal for a certain locally stationary process where the covariance function is determined by two one-dimensional Gaussian functions
Keywords :
Gaussian processes; covariance analysis; electroencephalography; mean square error methods; medical signal processing; time-frequency analysis; 9 Hz; EEG spectrum; Wigner-Ville spectrum; covariance function; electroencephalogram; locally stationary transient estimation; mean squared error optimal time-frequency kernel; multiple windows; one-dimensional Gaussian functions; transient frequency changes; Brain; Electrodes; Electroencephalography; Frequency estimation; Graphics; Kernel; Scalp; Spectrogram; Statistics; Time frequency analysis;
Conference_Titel :
Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
Conference_Location :
Shanghai
Print_ISBN :
0-7803-8741-4
DOI :
10.1109/IEMBS.2005.1616195
