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.
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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
ORCID iDs
Dietl, H. and Weiss, S. ORCID: https://orcid.org/0000-0002-3486-7206;-
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Item type: Conference or Workshop Item(Paper) ID code: 39140 Dates: DateEvent2004PublishedSubjects: 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: 01 Sep 2024 00:40 URI: https://strathprints.strath.ac.uk/id/eprint/39140