ECG Signal Processing and Analysis for Data Arising from Rehab Patients Doing Exercises

Heart disease is one of the leading causes of mortality worldwide. Cardiac rehabilitation plays a crucial role in enhancing quality of life and helping cardiac patients in returning to functional baseline. This paper studies cardiac patients during rehabilitation exercises by monitoring their ECG signals. A novel minimum error entropy based R peak detection scheme is proposed. ECG signals from different types of rehabilitation exercises are processed and analyzed. Unlike traditional methods which rely on intermittent measurements, the described ECG based rehabilitation monitoring provides continuous and detailed information about patients' cardiac activities. The findings from this study will be helpful in the personalized cardiac rehabilitation.