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