• B.Govinda
• G.S.N.Tendulkar
• P.Chitra Bhanu Sri
• U.Yamini
• K.Vincent

Hybrid approach is proposed in this concept to remove noise presented in ECG signal with more efficient accuracy. The electrocardiogram ECG signal plays an important role in the primary diagnosis, prognosis and survival analysis of heart diseases. The ECG signal contains an important amount of information that can be exploited in different manners. However, during its acquisition it is often contaminated with different sources of noise making difficult its interpretation. In this paper, a new approach based on Morphological Top-Hat Transform (MTHT) is developed in order to suppress noises from the ECG signals. Notch filtering also used here along with MTHT for better signal recovery. The experimental results indicated that the proposed methods in this work were better than the compared methods in terms of retaining the geometrical characteristics of the ECG signal, SNR. Due to its simplicity and its fast implementation, the method can easily be used in clinical medicine.

Electro Cardiogram, Notch Filter, Morphological operations, Top-Hat Transform, Signal to Noise Ratio

"AUTOMATION OF ECG SIGNAL ANALYSIS USING EMD AND CNN", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 4, page no.412-417, April-2020, Available :http://www.jetir.org/papers/JETIR2004059.pdf

"AUTOMATION OF ECG SIGNAL ANALYSIS USING EMD AND CNN", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 4, page no. pp412-417, April-2020, Available at : http://www.jetir.org/papers/JETIR2004059.pdf