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Improved ECG signal compression quality using bat algorithm
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DOI：10.1007/s11042-022-12881-5.png)
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Recently, electrocardiogram (ECG) data has gained significant importance not only for the medical context but also for purposes related to the biometric context, particularly data security and privacy. In this article, we propose an efficient ECG compression method to ensure high reliability and efficiency in data retention and transmission with high quality and confidentiality to convince patient information safety. The proposed method presents two main contributions. First, the discrete wavelet transform (DWT) coefficients are optimally thresholded using bat algorithm (BA), which provides high efficiency in improving the data compression rate without degrading the quality of the reconstructed data. Second, we perfectly encode the quantized vector of the wavelet coefficients by a two-role encoder (TRE). The effectiveness of the proposed search is evaluated in terms of compression ratio (CR) and root mean square difference (PRD) on the MIT-BIH arrhythmia data set. The results of the simulation validate the effectiveness of the proposed method compared to state-of-the-art methods.
Keyword:
Electrocardiogram
Wavelet
Encoder
Compression
Bat
期刊
IF:
3
论文数:
2.0W
被引数:
3.2W
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