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
Full Text (PDF, 301KB), PP.26-33
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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