Electrocardiogram (ECG) Signal and Interference Filtering for Clinical Diagnostic Support

Gabriel Ayobami Ayeni, Taofik Tola Ajagbe and Adewale W. Yekinni
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Gabriel Ayobami Ayeni: Researcher, Department of Computer Science, Rivers State University, Port Harcourt, Nigeria
Taofik Tola Ajagbe: Department of Computer Science, Lagos State University, Ojo, Lagos State, Nigeria
Adewale W. Yekinni: Department of Computer Science, School of Tech, Lagos State Polytechnic, Ikorodu, Lagos State, Nigeria

International Journal of Research and Scientific Innovation, 2020, vol. 7, issue 10, 53-56

Abstract: Signal processing for electrocardiogram (ECG) records cardiac activity to unveil any abnormality in the heart through electrocardiograph. The pictorial representation comes in graph to indicate electric potential changes occurring between electrodes when patients’ cardiovascular state is being examined. The electrical functioning of the heart is translated into a waveform, being utilized to find the heart condition. An ECG signal tracks heart diseases, such as poor blood flow to the heart and structural abnormalities. Analysis of ECG signal and removal of interference for clinical diagnosis in presented in this paper.

Date: 2020
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