An improved lossy and lossless combined ECG data compression using ASCII character encoding

Dharmendra Gurve, B. Saini, I. Saini
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引用次数: 3

Abstract

Electrocardiogram (ECG) compression can significantly reduce the storage and transmission burden in telemedicine applications. In this paper, an improved ECG data compression method using ASCII character encoding is proposed. A QRS detection algorithm firstly applied to separate QRS and non-QRS region. Then, the QRS regions of ECG signal are compressed using lossless method and non-QRS regions are compressed using lossy method, which improves the compression ratio and minimise the reconstruction error between original and reconstructed ECG signal. All tested ECG records are selected from the PTB database. Statistical results show that the compression performance of the proposed method is better than both lossless and lossy ECG data compression technique. The average compression ratio (CR) and percent root mean square difference (PRD) obtained using proposed ECG data compression method are 27.40 and 4.753 respectively, which is better than other existing ECG data compression method.
一种改进的有损和无损合并心电数据压缩,采用ASCII字符编码
在远程医疗应用中,心电图压缩可以显著降低存储和传输负担。本文提出了一种改进的心电数据压缩方法,采用ASCII字符编码。首先将QRS检测算法应用于QRS区域与非QRS区域的分离。然后,对心电信号的QRS区域进行无损压缩,对非QRS区域进行有损压缩,提高了压缩比,使原始心电信号与重构心电信号之间的重构误差最小化。所有测试的心电图记录都是从PTB数据库中选择的。统计结果表明,该方法的压缩性能优于无损和有损心电数据压缩技术。所提出的心电数据压缩方法得到的平均压缩比(CR)和百分均方根差(PRD)分别为27.40和4.753,优于现有的心电数据压缩方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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