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Modelling and Classification of Respiratory Volume Waveforms

Sita, G and Murthy, ISN (1992) Modelling and Classification of Respiratory Volume Waveforms. In: The Annual International Conference Of The Ieee Engineering In Medicine And Biology Society, 1992, 29th October- 1st November, Paris,France, Vol.6, 2529-2530.

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Abstract

A technique is proposed for classifying respiratory volume wavefoms(RVW) into normal and abnormal categories of respiratory pathways. The proposed method transforms the temporal sequence into frequency domain by using an orthogonal transform, namely discrete cosine transform (DCT) and the transfomed signal is pole-zero modelled. A Bayes classifier using model pole angles as the feature vector performed satisfactorilywhen a limited number of RVWs recorded under deep and rapid (DR) manoeuvre are classified.

Item Type: Conference Paper
Additional Information: Copyright 1990 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE
Department/Centre: Division of Electrical Sciences > Electrical Engineering
Date Deposited: 27 May 2006
Last Modified: 19 Sep 2010 04:27
URI: http://eprints.iisc.ernet.in/id/eprint/6978

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