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Wavelet Lifting based ECG Signal Compression Using Multi-Stage Vector Quantization  

Park, Seo-Young (Dept. of Radio and Communications Engineering, Chungbuk National University)
Jeong, Gyu-Hyeok (Dept. of Radio and Communications Engineering, Chungbuk National University)
Kim, Young-Ju (Dept. of Radio and Communications Engineering, Chungbuk National University)
Lee, In-Sung (Dept. of Radio and Communications Engineering, Chungbuk National University)
Joo, Gi-Ho (Dept. of Informations and Communications Engineering, Paichai University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SC / v.43, no.6, 2006 , pp. 76-82 More about this Journal
Abstract
In this paper, the biomedical signal compression method, which is combined with the multi-stage vector quantization and wavelet lifting scheme, is proposed. It utilizes the property of wavelet coefficients that give emphasis on approximation coefficients. The transmitted codebook index consists of the code vectors obtained by wavelet lifting coefficients of ECG and error signals from the 1024 block length, respectively. Each codebook is adaptively updated by the method comparing to the distance of input codevectors with candidate codevectors by using an pre-defined threshold value. The proposed compression method showed blow 3% in term of PRD and 276.62 bits/sec in term of CDR.
Keywords
ECG compression; multi-stage vector quantization; Wavelet Lifting;
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