QRS detection Using Empirical Mode Decomposition Method for Human Computer Interface

Abstract

Main aim of this paper be toward analyze the strengths of the EMD technique. The EMD system is the perfect way toward examine non-linear as well as non-stationary signals. The EMD process can accommodate noise in ECG signals. In this document the technique used to decompose realtime signals such as a spoken signal, ECG signals and vibration signal from the computer is useful. The high-frequency components are converted to low-frequency componentsThis paper extracting the frequency components from input signal uses high-frequency components known as Intrinsic Mode Function to extract important characteristics required for the human interface. First of all, it is necessary to define maximum and minimum input signal and then to interpolate in order to get the average signal. As the technique is still non-linear and non-stationary, the output calculation of the technique used in this article is very promising than other technique.