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Categorisation of panic disorder by time-frequency methods

Dietl, H. and Weiss, S. (2003) Categorisation of panic disorder by time-frequency methods. In: 37th Asilomar Conference on Signals, Systems and Computers, 2003-11-09 - 2003-11-12, Pacific Grove, California.

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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.

Item type: Conference or Workshop Item (Paper)
ID code: 39133
Keywords: categorisation, panic disorder, time-frequency methods, analysis of variance, wavelet transforms , wavelet packets , time frequency analysis, testing, enterprise resource planning, electroencephalography , discrete wavelet transforms, discrete transforms , computer science , Electrical engineering. Electronics Nuclear engineering
Subjects: Technology > Electrical engineering. Electronics Nuclear engineering
Department: Faculty of Engineering > Electronic and Electrical Engineering
Depositing user: Pure Administrator
Date Deposited: 12 Apr 2012 13:50
Last modified: 21 Jul 2015 13:51
URI: http://strathprints.strath.ac.uk/id/eprint/39133

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