Modelling and classification of respiratory volume wavefourms
Data(s) |
02/05/2011
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Resumo |
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. |
Formato |
application/pdf |
Identificador |
http://eprints.iisc.ernet.in/42858/1/modeling_and.pdf 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. |
Publicador |
IEEE |
Relação |
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5761572 http://eprints.iisc.ernet.in/42858/ |
Palavras-Chave | #Electrical Engineering |
Tipo |
Conference Paper PeerReviewed |