基于非静止波束转换的电心电图信号中改进的T波检测和QRS复杂取消与kurtosis分析
Neenu Sharma1, Ramesh Kumar Sunkaria1
1Department of Electronics and Communication Engineering, Dr B.R. Ambedkar National Institute of Technology, Jalandhar 144011, India.
Physiological measurement
|November 9, 2023
概括
这项研究介绍了一种高效的T波检测算法,使用非十进制静止波量变换 (NSWT) 和QRS复杂取消. 该方法显著提高了心电图 (ECG) 信号中心脏功能障碍检测的准确性.
科学领域:
- 生物医学工程 生物医学工程
- 信号处理 信号处理
- 心脏病学 心脏病学
背景情况:
- 电心电图 (ECG) 信号中的T波分析对于识别心脏功能障碍至关重要.
- 准确的T波检测对于临床诊断和持续的患者监测至关重要.
研究的目的:
- 开发一种高效准确的算法,用于在心电图信号中检测T波峰值.
- 通过有效地取消QRS复合物和去除文物来增强T波检测.
主要方法:
- 一个新的算法采用非十化静止波量变换 (NSWT) 与bior 4.4母波量.
- 使用局部极端的QRS复合取消,然后通过Sauvola技术进行基线估计和P波峰值去除.
- 移动平均窗口,自适应值和T峰增强和假阳性校正的库尔托斯系数.
主要成果:
- 在QT数据库 (QTDB) 上实现了98.20%的灵敏度和98.04%的准确性.
- 在自我记录的数据集上获得了99.94%的灵敏度和99.90%的准确性.
- 与现有的最先进的T波检测技术相比,其表现优越.
结论:
- 拟议的基于NSWT的T波峰值检测与QRS取消和库尔托斯分析提供了更高的准确性.
- 这种方法具有改善心脏监测和临床诊断的巨大潜力.
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