Date of Publication :7th July 2016
Abstract: Due to high cost of ECG signal, it is difficult to measure it regularly. In this paper we suggested a low cost, non invasive and easy methodology to analyze human cardio vascular system by using parameters of PPG as this signal is highly correlated with ECG. This paper deals with extraction of time domain features of PPG signal, correlate it with ECG and select most relevant features. The comparison of selected features and overall features has been done by Support Vector Machine (SVM) and Artificial Neural Network (ANN) and Linear Regression which is use as a predictors.
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