R — Peak detection using Bayesian regularization neural network

摘要

This paper gives a new approach for a automatically detect the R peaks of ECG signal, for which R peaks detection baseline wonder is removed to minimize the noise interference. We use Kaiser Windowing technique and automated Bayesian regularization neural network to learn the characteristics of QRS complex to detect R peaks. This algorithm detection performance is high with the sensitivity is 98.6% and positive Predictivity 98.64%.