一个2D心电图信号压缩算法,使用1D离散波形变换
Hardev Singh Pal1,2, A Kumar3, Amit Vishwakarma3
1Department of ECE, PDPM-Indian Institute of Information Technology Design and Manufacturing Jabalpur, Jabalpur, 482005, Madhya Pradesh, India. 20peco05@iiitdmj.ac.in.
Physical and engineering sciences in medicine
|May 13, 2025
概括
这项研究介绍了一种高效的压缩算法,用于电心电图 (ECG) 信号,使用1D科恩-多贝希斯-费奥沃 9/7波波变换. 该方法增强了可穿戴医疗设备的数据存储和传输.
科学领域:
- 生物医学工程 生物医学工程
- 信号处理 信号处理
- 数据压缩数据压缩
背景情况:
- 收获心电图 (ECG) 信号对于诊断心脏病至关重要.
- 支持物联网的可穿戴设备越来越多地用于远程医疗保健,产生大量数据.
- 由于存储和传输的局限性,高效的ECG数据管理至关重要.
研究的目的:
- 为二维心电图信号提出一个高效的压缩算法.
- 提高远程医疗应用中ECG数据的存储和传输效率.
- 评估压缩性能与现有方法和各种波形变换相比.
主要方法:
- 将 1D Cohen-Daubechies-Feauveau 9/7 波段变换应用于 2D ECG 信号的应用.
- 变换系数的量化和基于目标重建错误的保留.
- 适应性哈夫曼编码用于进一步压缩量化系数.
- 在MIT-BIH心律失常数据库进行测试并评估异常影响.
主要成果:
- 拟议的算法通过增加稀疏性来证明了更好的压缩性能.
- 评估的指标包括质量评分 (30.23),百分比根-平方平均差 (5.07),信号-噪声比 (26.78 dB) 和压缩比 (7.21).
- 该方法与其他波形变换和现有方法相比,显示出更高的压缩效率.
结论:
- 开发的压缩算法显著提高了ECG数据的存储效率.
- 该方法为实时数据传输带宽利用提供了潜在的改进.
- 这种方法支持远程医疗和可穿戴医疗保健系统中有效的ECG数据管理.
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