Categorisation of panic disorder by time-frequency methods

H. Dietl, S. Weiss

Research output: Contribution to conferencePaper

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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.
Original languageEnglish
Pages399-403
Number of pages6
DOIs
Publication statusPublished - Nov 2003
Event37th Asilomar Conference on Signals, Systems and Computers - Pacific Grove, California, United States
Duration: 9 Nov 200312 Nov 2003

Conference

Conference37th Asilomar Conference on Signals, Systems and Computers
CountryUnited States
CityPacific Grove, California
Period9/11/0312/11/03
Other09 Nov - 12 Nov 2003

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

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  • Cite this

    Dietl, H., & Weiss, S. (2003). Categorisation of panic disorder by time-frequency methods. 399-403. Paper presented at 37th Asilomar Conference on Signals, Systems and Computers, Pacific Grove, California, United States. https://doi.org/10.1109/ACSSC.2003.1291942