[Real-time monitoring method for ECG signals based on Kalman filter technique]

In this paper, a prediction and real-time monitoring method for changing in ECG signals is proposed based on Kalman filter technique. It is important that the change point such as jump and drift could be predicted and diagnosed from the measurement, so as to keep it safely. The Kalman filter technique can be used in estimating system states in real-time way. The sudden changes of the estimation errors of system status can be used as the predictor for the physiologic changes. This method is validated in practice according to the experimental results.