ECG Segmentation in a Body Sensor Network Using Adaptive Hidden Markov Models

In this paper, a novel approach for segmenting ECG signal in a body sensor network is presented. Hidden Markov Modeling (HMM) technique is employed. The parameter adaptation in traditional HMM methods is conservative and slow to respond to these beat interval changes. Since people’s heart rates vary