Adaptive Filter Design for Noise Reduction in Electrocardiography
نویسندگان
چکیده
Electrocardiogram is commonly used to detect abnormal heart rhythm. An electrocardiogram (ECG) records the electrical activity of the heart. ECG signal is corrupted by noise signal which restricts the correct diagnose of heart beats. Adaptive filters are used to reduce the noise signal from the ECG signal. In this paper an Adaptive filter has been designed to eliminate the noise from ECG signal by using LMS algorithm. In diagnosing the Fetus heartbeat, mother’s heartbeat can interfere as a noise. The designed filter will reduce this noise from measured signal by a reference signal which is highly correlated with the noise signal. It can be observed from simulated results that developed filter can separate out noise from fetus heartbeat signal.
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تاریخ انتشار 2014