电心电图信号压缩使用基于非减小静止波纹转换的技术
Neenu Sharma1, Ramesh Kumar Sunkaria1
1Department of Electronics and Communication Engineering, Dr B.R. Ambedkar National Institute of Technology, Jalandhar 144011, India.
这项研究介绍了一种有效的心电图 (ECG) 压缩技术,使用非减小的静止波量变换和运行长度编码. 该方法显著减少了数据大小,同时最大限度地减少了对心电学应用的信号扭曲.
科学领域:
- 生物医学工程 生物医学工程
- 信号处理 信号处理
- 远程医疗远程医疗
背景情况:
- 电心脏病需要有效处理和传输生物信号,如心电图.
- 高的存储和带宽需求阻碍了有效的临床数据通信.
- 高准确度的心电图 (ECG) 压缩对于心电术至关重要.
研究的目的:
- 开发一种新的ECG压缩技术,减少信号扭曲.
- 为了改善压缩比并保持临床使用的信号完整性.
- 提出一种方法,结合非减小的静止波量变换 (NSWT) 和运行长度编码 (RLE).
主要方法:
- 开发了一种使用NSWT与双直角波纹的ECG压缩方法.
- 应用了值,萨维茨基-戈莱过和死区量化到波形系数.
- 使用运行长度编码 (RLE) 来有效压缩量化系数.
主要成果:
- 在MITDB数据库中实现了平均33.12的压缩比.
- 报告了1.99的百分比根平均平方偏差 (PRD),表明扭曲程度低.
- 与现有的心电图压缩方法相比,其表现优越.
结论:
- 拟议的NSWT和RLE技术为心电图信号提供了高压缩比.
- 该方法有效地减少了信号扭曲,提高了其适用于心电术的适用性.
- 这种方法为高效的ECG数据管理和传输提供了一个有希望的解决方案.
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