Automatic Detection System of Abnormal Patterns in ECG Signals

The electrocardiogram is the recording of the electrical activity of the heart by a device external to the body in a non-invasive way . In this paper real ECG records provided by the MIT-BIH Arrhythmia Database are used to build an efficient mechanism for detecting abnormalities in the ECG records . Prior to the detection, Butterworth and FIR filters are used in the pre-processing stage to eliminate any interference while maintaining the useful information within the signal. Detection of abnormal patterns related to Heartbeat along with the identification of other heart diseases such as AV blockage and Ventricular Fibrillation are implemented. Results of ECG signal pre-processing and abnormal pattern detection are obtained and demonstrate the suitability of the selected filtering techniques and the efficiency of the detection mechanisms.