• Ms. Nisha Charaya

Electrocardiogram (ECG) signal is vital information to diagnose cardiac diseases. A wide range of cardiac disorders can be diagnosed by analyzing it. But it gets highly affected by different noise interferences and artifacts during its recording which alters the original signal. These noise and interference are strong enough to suppress the clinically important features related to the small amplitude. It is essential to remove the noise for efficient analysis of ECG which is the followed by the extraction of the required cardiac parameters. This paper discusses different techniques that have been used in ECG signal analysis and their implementation in a wide variety of systems in recent research work.

Electrocardiogram (ECG), Artifacts, Filtering, Hardware Description Language (HDL)

"ELECTROCARDIOGRAM SIGNAL ANALYSIS: A REVIEW", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.980-983, June-2019, Available :http://www.jetir.org/papers/JETIR1906D49.pdf

"ELECTROCARDIOGRAM SIGNAL ANALYSIS: A REVIEW", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp980-983, June-2019, Available at : http://www.jetir.org/papers/JETIR1906D49.pdf