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Parameterisation comparison for the detection of panic disorder using time-frequency transforms and support vector machines

Dietl, H. and Weiss, S. (2004) Parameterisation comparison for the detection of panic disorder using time-frequency transforms and support vector machines. In: 2nd International Conference on Advances in Medical Signal and Information Processing, 2004-09-05 - 2004-09-09, Sliema.

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Abstract

In this paper we compare the effect of the parameterisation on the automatic detection of diseases based on biomedical data. Exemplarily, we study the analysis of event related brain potentials in patients suffering from panic disorder, whereby the data comprises responses to neutral and panic causing stimuli. This data is parameterised by time-frequency (TF) transforms, from which features are selected by a statistical test. The selected features represent the input to a support vector machine classifier yielding a detection rate for the TF parametrised data. This is compared with detection rates obtained for unparameterised time domain data

Item type: Conference or Workshop Item (Paper)
ID code: 39140
Keywords: transient, emissions, otoacoustic, evoked, parameterisation comparison, detection, panic disorder, time-frequency, transforms, support vector machines, 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 14:23
Last modified: 22 May 2015 09:11
URI: http://strathprints.strath.ac.uk/id/eprint/39140

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