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A Hybrid Algorithm for Classification of Compressed ECG

Author(s): Shubhada S.Ardhapurkar | Ramandra R. Manthalkar | Suhas S.Gajre

Journal: International Journal of Information Technology and Computer Science
ISSN 2074-9007

Volume: 4;
Issue: 2;
Start page: 26;
Date: 2012;
Original page

Keywords: Linear Predictive coding | Discrete wavelet transform | Probability Density Function

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%.
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