Sharma Lakhan Dev, Sunkaria Ramesh Kumar
Department of Electronics and Communication Engineering, Dr. B. R. Ambedkar National Institute of Technology, Jalandhar, 144011, India.
Cardiovasc Eng Technol. 2019 Jun;10(2):367-379. doi: 10.1007/s13239-019-00415-4. Epub 2019 Apr 16.
T-wave in electrocardiogram (ECG) is a vital wave component and has potential of diagnosing various cardiac disorders. The present work proposes a novel technique for T-wave peak detection using minimal pre-processing and simple root mean square based decision rule.
The technique uses a two-stage median filter and a Savitzky-Golay smoothing filter for pre-processing. P-QRS-complex is removed from the filtered ECG, and T-wave is left as the most prominent wave segment, which can be detected using a root mean square based adaptive threshold. An RR-interval based T-wave peak correction strategy has been proposed which can handle the challenges of morphological variations in the T-wave, thus increases the detection accuracy.
The proposed technique has been substantiated on a standard QT-database. The detection sensitivity = 97.01%, positive predictivity = 99.61%, detection error rate = 3.36%, and accuracy = 96.66% have been achieved.
A T-wave detection technique requiring minimal pre-processing and with simple decision rule has been designed. The noticeably high positive predictivity rate of the proposed technique shows its efficiency to detect T-wave peak.
心电图（ECG）中的T波是一个重要的波形成分，具有诊断各种心脏疾病的潜力。本研究提出了一种新颖的T波峰值检测技术，该技术使用最少的预处理和基于简单均方根的决策规则。
该技术使用两阶段中值滤波器和Savitzky-Golay平滑滤波器进行预处理。从滤波后的心电图中去除P-QRS复合波，T波作为最突出的波段保留下来，可使用基于均方根的自适应阈值进行检测。提出了一种基于RR间期的T波峰值校正策略，该策略可以应对T波形态变化带来的挑战，从而提高检测准确率。
所提出的技术在一个标准QT数据库上得到了验证。实现了检测灵敏度=97.01%，阳性预测值=99.61%，检测错误率=3.36%，准确率=96.66%。
设计了一种需要最少预处理且决策规则简单的T波检测技术。所提出技术显著高的阳性预测值表明其检测T波峰值的效率。
