• Nisha Rexline R
• E. Priya

The Electrocardiogram (ECG) is a non-invasive and graphic representation of electrical activity of the heart. It is obtained by placing electrodes at specific locations on the body surface. These ECG signals help in the diagnosis of cardiovascular diseases. The slight variation in the signal need to be noticed in order to identify any problem in the heart as ECG signals vary from 0.05 to 100 Hz. The acquired ECG signal may have noises such as baseline wander, power line interference, motion artifacts, muscle contraction, instrumentation noise and electrode-contact noise. The ECG signal is to be preprocessed to remove these noises. In this work, the signal is de-noised to remove the baseline wandering in MATLAB environment by various techniques such as Infinite Impulse Response, Independent Component Analysis, Interpolation and Successive Subtraction of Median values in RR interval, Least Mean Square Adaptive Filter and Moving Average Filter. Performance measures such as Mean absolute error, Mean Square Error, Signal to Noise Ratio, Percentage Signal to Noise Ratio, Percent Root Mean Square Difference are computed to find the method that is suitable for the acquired ECG signal.

Baseline wandering, IIR filter, Denoising, Performance metrics, ECG signal.

"DENOISING OF ECG SIGNALS – A PRELIMINARY STUDY ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.323-327, April-2019, Available :http://www.jetir.org/papers/JETIRBF06062.pdf

"DENOISING OF ECG SIGNALS – A PRELIMINARY STUDY ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp323-327, April-2019, Available at : http://www.jetir.org/papers/JETIRBF06062.pdf