Intelligent ECG System for Removal of Noise in Biomedical Application

Electrocardiogram (ECG) signal plays a vital role in the monitoring and diagnosis of the health conditions of heart. ECG wave suffers from several noise and interferences. The noise and interferences include power line noise is due to improper grounding, baseline wander is caused due to patient movement, contact noise, motion artifact is caused due to shivering and muscle contraction is caused due to high tension. So filters play a very important role in removing the significant ones. The use of filters considerably improves signal quality during recording. The objective of this work is to design an FIR digital filter for reducing interference, with hanning window function.

Author(s): Elizabeth and M V Satyanarayana

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