Key result
Quality-controlled wavelet compression achieves high ratios while preserving reconstructed ECG signal quality.
Why the study?
A method to achieve high compression ratios of ECG signals while maintaining signal quality within predefined error bounds was needed.
A new wavelet-based compression method for ECG signals achieves high compression ratios while maintaining good signal quality.
This paper presents a new Quality-Controlled, wavelet based, compression method for electrocardiogram (ECG) signals. Initially, an ECG signal is decomposed using the wavelet transform. Then, the resulting coefficients are iteratively thresholded to guarantee that a predefined goal percent root mean square difference (GPRD) is matched within tolerable boundaries. The quantization strategy of extracted non-zero wavelet coefficients (NZWC), according to the combination of RLE, HUFFMAN and arithmetic encoding of the NZWC and a resulting look up table, allow the accomplishment of high compression ratios with good quality reconstructed signals.
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Benzid et al. (2007) studied Electrocardiogram (ECG) signal compression. Quality-controlled compression method using wavelet transform was evaluated on Compression ratio and reconstructed signal quality. A quality-controlled wavelet-based compression method for ECG signals achieved high compression ratios with good quality reconstructed signals.
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