Detection of T-Waves in 12-Lead Electrocardiogram

A new method for detection of T-waves in 12-lead Electrocardiogram (ECG) using Support Vector Machine (SVM) is presented in this paper. Digital filtering techniques are used to remove power line interference and base line wander present in the ECG signal. SVM is used as a classifier for the detection of T-waves. The performance of the algorithm is evaluated using 50, original simultaneously recorded 12-lead ECG records from the standard CSE ECG database. Significant detection rate of 91% is achieved. The performance of the algorithm compares favorably with other algorithms reported in literature.