A Performance based comparative study on the Modified version of Empirical Mode Decomposition with traditional Empirical Mode Decomposition

Electrocardiogram, popularly known as ECG is a diagnostic test which detects the heart’s electrical system. It is an inevitable diagnostic technique in the medical field which helps to detect any heart related diseases accurately. But there are high chances of addition of any random unwanted signals or noises during the recording process. This hinders the exact diagnosis and hence it is important to denoise these signals. There exist various denoising techniques including Empirical mode decomposition (EMD), Non local means (NLM), various filters, etc. A modified method of EMD is presented here which performs smaller number of iterations and forms only a few Intrinsic mode functions (IMF) when compared with traditional EMD method. The presented work is a performance comparison study between the modified version of EMD which has lesser latency with the traditional EMD.