Computer-aided interpretation of ECG for diagnostics

Abstract

The paper presents an integrated pattern recognition method for the computer-aided interpretation of the ECG for diagnostic purposes. The overall process of computer-aided interpretation has been subdivided into the stages of preprocessing, feature extraction, parameter measurement, frontal plane axis (FPA) angle calculation and diagnostics. A novel method has been developed for the delineation of peaks with boundary detection up to an accuracy of 99·98%. Accuracies have been obtained up to 99·83% in QRS identification and 96% in P and T wave identification, using fuzzy criteria, respectively. A fast and efficient algorithm has been implemented for FPA calculation. A point scoring scheme for left and right ventricular hypertrophy has been used for the diagnostics. Through this integrated approach the output results are available in a concise tabular form for easy inspection by the cardiologists. The method is suitable for both off-line and on-line applications in cardiac care units. The method has been successfully tested for a large number of ECG waveforms. The test results establish the accuracy, effectiveness and reliability of the method.