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International Journal of Information Technology and Computer Science(IJITCS)

ISSN: 2074-9007 (Print), ISSN: 2074-9015 (Online)

Published By: MECS Press

IJITCS Vol.4, No.2, Mar. 2012

A Hybrid Algorithm for Classification of Compressed ECG

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Author(s)

Shubhada S.Ardhapurkar,Ramandra R. Manthalkar,Suhas S.Gajre

Index Terms

Linear Predictive coding,Discrete wavelet transform,Probability Density Function

Abstract

Efficient compression reduces memory requirement in long term recording and reduces power and time requirement in transmission. A new compression algorithm combining Linear Predictive coding (LPC) and Discrete Wavelet transform is proposed in this study. Our coding algorithm offers compression ratio above 85% for records of MIT-BIH compression database. The performance of algorithm is quantified by computing distortion measures like percentage root mean square difference (PRD), wavelet-based weighted PRD (WWPRD) and Wavelet energy based diagnostic distortion (WEDD). The PRD is found to be below 6 %, values of WWPRD and WEDD are less than 0.03. Classification of decompressed signals, by employing fuzzy c means method, is achieved with accuracy of 97%.

Cite This Paper

Shubhada S.Ardhapurkar, Ramandra R. Manthalkar, Suhas S.Gajre, "A Hybrid Algorithm for Classification of Compressed ECG", International Journal of Information Technology and Computer Science(IJITCS), vol.4, no.2, pp.26-33, 2012. DOI: 10.5815/ijitcs.2012.02.04

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