Reduction of Power Line Interference by using Adaptive Filtering Techniques in Electrocardiogram 
G Sundeep1, U V Ratna Kumari2
1Sundeep Gottumukkala, Persuing, masters in instrumentation and control systeems from the same university.
2U V Ratna Kumari, Research scholar in Jawaharlal Nehru Technological University Kakinada, India.

Manuscript received on October 01, 2012. | Revised Manuscript received on October 05, 2012. | Manuscript published on October 10, 2012. | PP: 83-86 | Volume-1 Issue-5 October 2012. | Retrieval Number: E0293091512 /2012©BEIESP
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Abstract: — Electrocardiogram (ECG) signal is affected by many noise interferences. Out of all the noise effects the power line interference is the predominant one. In this paper the implementation of the adaptive algorithm techniques for reduction in this power line interference is shown and a comparison of these techniques is performed. The adaptive filters used have shown a good improvement in the SNR (Signal– to – Noise Ratio). The LMS (Least mean square), NLMS (Normalized LMS), and SLMS (Sign LMS) algorithms are discussed and compared. 
Keywords: ECG (Electrocardiogram), LMS (Least mean square), NLMS (Normalized LMS), SLMS (Sign LMS) and MSE (Mean square error)