Heartbeat Classification Using Feature Selection
In this paper, we studied and validated a simple heart beat classifier based on ECG feature models selected with the focus on an improved generalization capability. We considered features from the RR series, as well as features computed from the ECG samples and different scales of the wavelet transform, at both avail able leads. The classification performance and generalization were studied using publicly available databases: the MIT-BIH Arrhythmia,.........>>>>Read More
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Bedside Patient Monitoring With Wireless Sensor Networks
This project is developed for rehabilitation patients who are taking Emergency treatment inside a rehabilitation center. The main module in this project is an unconstrained monitoring system that can monitor patient's heart beat, temperature and trip continuously so that it can give early warning in real time..........>>>>Read More
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