Modelling and classification of respiratory volume wavefourms

Sita, G and Murthy, ISN (2011) Modelling and classification of respiratory volume wavefourms. In: 1992 14th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Oct. 29 1992-Nov. 1 1992, Paris, France.

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Abstract

A technique is proposed for classifying respiratory volume waveforms(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 transformed signal is pole-zero modelled. A Bayes classifier using model pole angles as the feature vector performed satisfactorily when a limited number of RVWs recorded under deep and rapid (DR) manoeuvre are classified.

Item Type:	Conference Paper
Publisher:	IEEE
Additional Information:	Copyright 1992 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:	23 Dec 2011 07:21
Last Modified:	23 Dec 2011 07:21
URI:	http://eprints.iisc.ac.in/id/eprint/42858

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