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ECG Data Compression by Using Wavelet Transform
Jie CHEN Shuichi ITOH Takeshi HASHIMOTO
IEICE TRANSACTIONS on Information and Systems
Publication Date: 1993/12/25
Print ISSN: 0916-8532
Type of Manuscript: Special Section PAPER (Special Section on ECG Data Compression)
ECG, wavelet transform, optimum quantization,
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A new method for the compression of electrocardiographic (ECG) data is presented. The method is based on the orthonormal wavelet analysis recently developed in applied mathematics. By using wavelet transform, the original signal is decomposed into a set of sub-signals with different frequency channels corresponding to the different physical features of the signal. By utilizing the optimum bit allocation scheme, each decomposed sub-signal is treated according to its contribution to the total reconstruction distortion and to the bit rate. In our experiments, compression ratios (CR) from 13.5: 1 to 22.9: 1 with the corresponding percent rms difference (PRD) between 5.5% and 13.3% have been obtained at a clinically acceptable signal quality. Experimental results show that the proposed method seems suitable for the compression of ECG data in the sense of high compression ratio and high speed.