Adaptive mean and trend removal of heart rate variability using Kalman filtering

Analysis of heart rate variability requires the calculation of the mean heart rate. Adaptive methods are important for online and real-time parameter estimation. In this paper, we demonstrate the use of Kalman filtering to estimate adaptively the mean heart rate and remove the trend.