Kumar Amit, Singh Mandeep
Department of Electrical and Instrumentation Engineering, Thapar University, P.O Box 32, Patiala, Punjab, India, Pin -147004.
Department of Electrical and Instrumentation Engineering, Thapar University, P.O Box 32, Patiala, Punjab, India, Pin -147004.
Comput Biol Med. 2016 Jan 1;68:76-83. doi: 10.1016/j.compbiomed.2015.11.002. Epub 2015 Nov 18.
A novel method has been proposed for the detection of ischemia using an isoelectric energy function (IEEF) resulting from ST segment deviations in ECG signals. The method consists of five stages: pre-processing, delineation, measurement of isoelectric energy, a beat characterization algorithm and detection of ischemia. The isoelectric energy threshold is used to differentiate ischemic beats from normal beats for ischemic episode detection. Then, ischemic episodes are classified as transmural or subendocardial. The method is validated for recordings of the annotated European ST-T database (EDB). The results show 98.12% average sensitivity (SE) and 98.16% average specificity (SP). These results are significantly better than those of existing methods cited in the literature. The advantage of the proposed method includes simplicity, ruggedness and automatic discarding of noisy beats.
一种利用心电图（ECG）信号中ST段偏差产生的等电能函数（IEEF）检测缺血的新方法被提出来了。该方法包括五个阶段：预处理、描绘、等电能测量、搏动特征算法以及缺血检测。等电能阈值用于区分缺血性搏动和正常搏动以进行缺血发作检测。然后，缺血发作被分类为透壁性或心内膜下性。该方法在注释的欧洲ST-T数据库（EDB）记录中得到了验证。结果显示平均灵敏度（SE）为98.12%，平均特异性（SP）为98.16%。这些结果明显优于文献中引用的现有方法。所提方法的优点包括简单、耐用以及能自动剔除噪声搏动。
