使用三抽头双正交小波滤波器组进行心电图压缩的时频定位
Time-frequency localization using three-tap biorthogonal wavelet filter bank for electrocardiogram compressions.
作者信息
Kumar Ashish, Komaragiri Rama, Kumar Manjeet
机构信息
Department of Electronics and Communication Engineering, Bennett University, Greater Noida, U. P. 210310 India.
出版信息
Biomed Eng Lett. 2019 Jun 28;9(3):407-411. doi: 10.1007/s13534-019-00117-9. eCollection 2019 Aug.
Abstract
A joint time-frequency localized three-band biorthogonal wavelet filter bank to compress Electrocardiogram signals is proposed in this work. Further, the use of adaptive thresholding and modified run-length encoding resulted in maximum data volume reduction while guaranteeing reconstructing quality. Using signal-to-noise ratio, compression ratio (C), maximum absolute error (E), quality score (Q), root mean square error, compression time (C) and percentage root mean square difference the validity of the proposed approach is studied. The experimental results deduced that the performance of the proposed approach is better when compared to the two-band wavelet filter bank. The proposed compression method enables loss-less data transmission of medical signals to remote locations for therapeutic usage.
摘要
本文提出了一种用于压缩心电图信号的联合时频局部化三带双正交小波滤波器组。此外，自适应阈值处理和改进的游程编码的使用在保证重建质量的同时实现了最大的数据量减少。使用信噪比、压缩率（C）、最大绝对误差（E）、质量分数（Q）、均方根误差、压缩时间（C）和均方根误差百分比研究了该方法的有效性。实验结果表明，与两带小波滤波器组相比，该方法的性能更好。所提出的压缩方法能够将医学信号无损传输到远程位置以供治疗使用。
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