A Proposed Technique Based on Wavelet Transform for Electrocardiogram Signal Compression

被引：4

作者：

Abdulbaqi, Azmi Shawkat ^{[1
]}

Najim, Saif Al-din M. ^{[1
]}

Mohammad, Falath M. ^{[1
]}

Irsan, Nawar Ahmed ^{[1
]}

机构：

[1] Univ Anbar, Coll Comp & Info Tech, Ramadi, Iraq

来源：

2018 1ST ANNUAL INTERNATIONAL CONFERENCE ON INFORMATION AND SCIENCES (AICIS 2018) | 2018年

关键词：

Data Compression (DC); Arithmetic coding (AC); Wavelet Transform (WT); Compression Ratio (CR); Biorthogonal Wavelet (BW); ECG lossless compression (ECG lc); Lossless Ccompression (LC);

D O I：

10.1109/AiCIS.2018.00049

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

An electrocardiogram (ECG) is an electrical record of heart activity. ECG compression is the biggest concern for many applications in the biomedical community. ECG lossless compression (ECG LC) is data recovery for diagnostic and analysis purposes. The aim here develops an efficient algorithm ECG LC. This algorithm uses the transform based on wavelet followed by the arithmetic coding (AC) on the residual. The parameters of performance measurement for the ECG signal such as CR (Compression Ratio), PRD ( Percent Root mean square Distortion). The proposed algorithm achieves high compression ratios compared to other compressing algorithms. Outcomes display that this algorithm works well for various kinds of patient recordings and is even able to provide lossless compression for event-related potentials. According the outcomes, the higher CR. The highest CR is obtained is 75.5, and the lowest PRD is obtained is 0.18 according to the patient records that have the highest CR.

引用

页码：229 / 234

页数：6

共 20 条

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