对ECG信号的过技术进行比较评估,重点是静态波波变换
Norbert Ádám1, Dávid Val'ko2, Zoltán Balogh3,4
1Department of Computing and Informatics, Faculty of Electrical Engineering and Informatics, Technical University of Košice, Košice, 042 00, Slovakia. norbert.adam@tuke.sk.
Scientific reports
|November 27, 2025
概括
静止波形转换是消除心电图 (ECG) 信号的最佳方法,保留了关键的心脏特征. 最佳设置可以提高临床心电图分析中的降噪和诊断准确性.
科学领域:
- 生物医学工程 生物医学工程
- 信号处理 信号处理
背景情况:
- 电心电图 (ECG) 信号对于心脏诊断至关重要,但容易受到噪音的影响.
- 有效的降噪对于准确的ECG解释和临床决策至关重要.
研究的目的:
- 评估各种过技术,以消除心电图信号的噪声.
- 确定在信号处理过程中保存关键心脏特征的最有效方法.
主要方法:
- 多种过技术的比较分析,包括高通,切比舍夫II型,卡尔曼,口,萨维茨基-戈莱平滑,移动平均值,实证模式分解,实证波纹转换和静止波纹转换.
- 使用各种波段 (例如"db4"",rbio3.9") 严格测试静止波段变换和参数优化 (第5级,值尺度0.5).
主要成果:
- 与其他方法相比,静止波段转换在消除心电图信号方面表现出优异的性能.
- 使用"rbio3.9"波段在0.5值级别的5级的最佳配置有效地降低了噪声,同时保留了基本的信号组件.
结论:
- 静止波形变换对于心电图信号过非常有效,为降低噪声提供了强大的解决方案.
- 优化的静止波形转换参数显著提高了信号完整性,有助于改善临床心电图分析和诊断精度.
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