title: Ischemia detection using Isoelectric Energy Function.
abstract: 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.
authors.affiliation: Department of Electrical and Instrumentation Engineering, Thapar University, P.O Box 32, Patiala, Punjab, India, Pin -147004. Electronic address: manocha82@gmail.com.
authors.forename: Amit
authors.initials: A
authors.lastname: Kumar
authors.affiliation: Department of Electrical and Instrumentation Engineering, Thapar University, P.O Box 32, Patiala, Punjab, India, Pin -147004.
authors.forename: Mandeep
authors.initials: M
authors.lastname: Singh
mesh_terms: D000465:Algorithms; D016208:Databases, Factual; D004562:Electrocardiography / Q000379:methods*; D005260:Female; D006801:Humans; D008297:Male; D017202:Myocardial Ischemia / Q000175:diagnosis* / Q000503:physiopathology*; D012815:Signal Processing, Computer-Assisted
keywords: ECG; Ischemia; Isoelectric energy; QRS complex detection; ST segment; Wavelet transform