This paper implements a remote real-time health care system mainly based on electrocardiogram (ECG), body temperature, pulse-based real-time monitoring. A cellular phone with Android O.S. and global positioning system (GPS) is adopted as the platform for this system. The monitor of electrocardiogram (ECG) is performed by a statistical model, Hidden Markov model (HMM), to immediately determine the status of the patient’s body. Besides, an automatic warning and positioning system is designed so that the patients can receive timely rescue. Also, a suggestion, if necessary, for finding the closest hospital will be given by this system. In this system, a device for measuring ECG signal is attached on a patient’s body and remotely transfers the ECG data to cellular phone through Bluetooth device. The ECG data are then transferred to and stored in the server through internet. All the data in the sever for a patient are used to train and update the HMM model in the cellular phone to get a more precise prediction of the patient’s health. Experiments in this paper show that the implemented system works well and is helpful to people’s health care.
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