期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2021
卷号：99
期号：3
页码：675
出版社：Journal of Theoretical and Applied
摘要：The electrocardiogram signal for humans is very weak physiologically and in low frequency, and it is usually performed to detect the presence of an irregular heartbeat, as well as to diagnose the causes of chest pain, especially to ensure that there is no heart attack. This signal is captured by electrodes attached to the surface of human skin. As a result of the phenomenon of polarization between the electrode and the skin tissue, this will lead to dangerous interference in the ECG signal such as external electromagnetic field interference from power line intrusion, noise from random body movements, breathing movements, EMG noise, which must be removed before diagnosis. This study proposes to design and implemented three types of band-stop filters (Butterworth, Notch, and LMS adaptive stop-band filters) based on field-programmable analog array technology to process the damaged ECG signal. The properties of these filters have been improved and their parameters are calculated to minimize the noise from corrupted ECG signals. The obtained results clearly show that the proposed filters are effective in eliminating noise due to the fact that all parameters are significantly improved in comparison with the damaged signal is an indication that the proposed digital filters are working satisfactorily. The results which are given by the adaptive LMS filter provides the best performance compared with the other band-stop filters through improving the signal-to-noise ratio (20.423 dB). The Notch filter offers obvious advantages and achieves a signal strength of 0.342 dB after filtration and retaining detailed information on the QRS complex of the ECG, which is significant for the feature extraction of ECG signals and for pathological diagnosis.
