Description

Abstract:

                 It is the novel method to detect the disease in the ECG signal. For detecting the ECG

signal here we use the neural network for identification. It has the process like signal

preprocessing, Feature extraction and classification technique.  Empirical Mode Decomposition

(EMD) and neural network toolbox will be used from MATLAB environment. EMD is a method

of breaking down a signal without leaving the time domain. It can be compared to other analysis

methods like Fourier Transforms and wavelet decomposition. The process is useful for analyzing

natural signals, which are most often non-linear and non-stationary. EMD filters out functions

which form a complete and nearly orthogonal basis for the original signal. Completeness is based

on the method of the EMD. The way it is decomposed implies completeness. The functions,

known as Intrinsic Mode Functions (IMFs), are therefore sufficient to describe the signal, even

though they are not necessarily orthogonal.