Categorisation of panic disorder by time-frequency methods

H. Dietl, S. Weiss

Research output: Contribution to conferencePaper

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.

Conference

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

Fingerprint

Bioelectric potentials
Electroencephalography
Brain

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

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
Dietl, H. ; Weiss, S. / Categorisation of panic disorder by time-frequency methods. Paper presented at 37th Asilomar Conference on Signals, Systems and Computers, Pacific Grove, California, United States.6 p.
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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.",
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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note = "37th Asilomar Conference on Signals, Systems and Computers ; Conference date: 09-11-2003 Through 12-11-2003",

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Dietl, H & Weiss, S 2003, 'Categorisation of panic disorder by time-frequency methods' Paper presented at 37th Asilomar Conference on Signals, Systems and Computers, Pacific Grove, California, United States, 9/11/03 - 12/11/03, pp. 399-403. https://doi.org/10.1109/ACSSC.2003.1291942

Categorisation of panic disorder by time-frequency methods. / Dietl, H.; Weiss, S.

2003. 399-403 Paper presented at 37th Asilomar Conference on Signals, Systems and Computers, Pacific Grove, California, United States.

Research output: Contribution to conferencePaper

TY - CONF

T1 - Categorisation of panic disorder by time-frequency methods

AU - Dietl, H.

AU - Weiss, S.

PY - 2003/11

Y1 - 2003/11

N2 - 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.

AB - 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.

KW - categorisation

KW - panic disorder

KW - time-frequency methods

KW - analysis of variance

KW - wavelet transforms

KW - wavelet packets

KW - time frequency analysis

KW - testing

KW - enterprise resource planning

KW - electroencephalography

KW - discrete wavelet transforms

KW - discrete transforms

KW - computer science

U2 - 10.1109/ACSSC.2003.1291942

DO - 10.1109/ACSSC.2003.1291942

M3 - Paper

SP - 399

EP - 403

ER -

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