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Authors
Affiliations
1 Department of Biomedical Engineering, Samrat Ashok Technological Institute (Engineering College), Vidisha-464001 (M.P.), IN
2 Department of Electronics & Instrumentation Engineering, Samrat Ashok Technological Institute (Engineering College), Vidisha-464001 (M.P.), IN
3 S.D. Bansal College of Technology, Umaria, Indore-452001 (M.P.), IN
Source
Digital Signal Processing, Vol 2, No 7 (2010), Pagination: 101-107
Abstract
ECG signal compression techniques employing multirate filter bank is developed. The proposed method utilizes an optimized prototype filter for designing a nearly-perfect reconstruction cosine modulated filter bank. Frequency band decomposition of ECG signal is obtained by analysis filter bank. Most of the ECG energy is concentrated in lower frequency bands. The decomposed signal coefficients are thresholded, quantized and encoded. LZW and Huffman coding is used for comparing the performance. Only significant coefficients are transmitted, while redundant samples are discarded. Various error measures are computed to ensure the quality and fidelity of reconstructed signal.
Keywords
Near Perfect Reconstruction, Filter Banks, Subband Coding, Compression Ratio.
