DocumentCode :
409646
Title :
Categorisation of panic disorder by time-frequency methods
Author :
Dietl, Hubert ; Weiss, Stephan
Author_Institution :
Dept. of Electron. & Comput. Sci., Southampton Univ., UK
Volume :
1
fYear :
2003
fDate :
9-12 Nov. 2003
Firstpage :
399
Abstract :
Anxiety patients that are presented with neutral and panic disorder triggering stimuli show different event-related brain potentials (ERP) within the electroencephalogram (EEG). In this paper, we investigate this difference by time-frequency (TF) revealing transforms leading to an identification of a small number of significant parameterising coefficients to be able to differentiate between the presented stimulus categories.
Keywords :
bioelectric potentials; electroencephalography; medical signal processing; neurophysiology; patient diagnosis; time-frequency analysis; wavelet transforms; Gabor transform; anxiety patient; electroencephalogram; event-related brain potentials; neutral disorder triggering stimuli; panic disorder categorisation; panic disorder triggering stimuli; time-frequency method; wavelet packet transform; Analysis of variance; Computer science; Discrete transforms; Discrete wavelet transforms; Electroencephalography; Enterprise resource planning; Testing; Time frequency analysis; Wavelet packets; Wavelet transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Systems and Computers, 2004. Conference Record of the Thirty-Seventh Asilomar Conference on
Print_ISBN :
0-7803-8104-1
Type :
conf
DOI :
10.1109/ACSSC.2003.1291942
Filename :
1291942
Link To Document :
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