• Shobhana Awasthi
• Ambuj Pandey

ECG is the important data of the human body that gives the information measures of the changes in the cardiovascular system. These clinical ECG signal is always corrupted by the electromagnetic field and power line interference which causes misleading results during the diagnosis of diseases by advanced software modules .So it is important to minimize these data acquisition recording errors in the ECG to make the accurate clinical analysis. We are developing an algorithm that can break three consecutive ECG signal data array into 3 equivalents Empirical Mode Decomposition these decomposed data matrix are passed through the Independent Component Generation algorithm from these components we will select and eliminate the noisy components and thereafter reverse ICA and EMD will be applied to get error free ECG data.

ECG, EKG, ICA, CVD

"Advanced Diagnosis Approach using EMD and ICA for PQRS Detection.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.354-358, June-2019, Available :http://www.jetir.org/papers/JETIR1906F57.pdf

"Advanced Diagnosis Approach using EMD and ICA for PQRS Detection.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp354-358, June-2019, Available at : http://www.jetir.org/papers/JETIR1906F57.pdf