Analysis Method on Extraction of R-peak Feature in ECG Signal for Discrimination between Normal and Abnormal Heart Conditions

Abstract

Diagnosis of the heart condition is essential to detect the problems related to heart and blood vessels. Normally, a physical examination and blood test could be performed besides the electrocardiogram (ECG) test. However, most of the ECG test is later be analyzed in time domain only which unable to access the further information. Therefore, the aim of this work is to extract the ECG features in both time and frequency domains that able to distinguish between the normal and abnormal conditions. The R-peak is semi-automatically extracted in both normal and abnormal ECG signal. The undetected and misleading R-peak in abnormal ECG signals is then be analyzed using Wavelet Decomposition by down sampling the signal with variable Daubechies values. The results show that the undetected R-peak in abnormal ECG signal is able to be indicated rhythmically in each heart cycle.