Extraction of ECG signal with adaptive filter for hearth abnormalities detection

MECnIT - IOP Conf. Series: Journal of Physics: Conf. Series 1007 (2018) 012019

Selasa, 01 Mei 2018 22:25 | Sudah dibaca 874 kali

This paper demonstrates an adaptive filter method for extraction ofelectrocardiogram (ECG) feature in hearth abnormalities detection. In particular, electrocardiogram (ECG) is a recording of the heart's electrical activity by capturing a tracingo f cardiac electrical impulse as it moves from the atrium to the ventricles. The applied algorithm is to evaluate and analyze ECG signals for abnormalities detection based on P, Q, R and S peaks. In the first phase, the real-time ECG data is acquired and pre-processed. In the second phase, the procured ECG signal is subjected to feature extraction process. The extracted features detect abnormal peaks present in the waveform. Thus the normal and abnormal ECG signal could be differentiated based on the features extracted.

Kata Kunci: Electrocardiogram (ECG), Adaptive Filter, Heart Abnormalities