Harald G. Grohganz
Bonn-Rhein-Sieg University o.A.S., Germany
Blue Square Group e.V., Germany
Predictive Models, Heart Rate Prediction, Training Optimization.
Computer Supported Training
Computer Systems in Sports
Health and Fitness
Health, Sports Performance and Support Technology
Simulation and Mathematical Modeling
Sport Science Research and Technology
During exercise, heart rate has proven to be a good measure in planning workouts. It is not only simple to
measure but also well understood and has been used for many years for workout planning. To use heart rate to
control physical exercise, a model which predicts future heart rate dependent on a given strain can be utilized.
In this paper, we present a mathematical model based on convolution for predicting the heart rate response
to strain with four physiologically explainable parameters. This model is based on the general idea of the
Fitness-Fatigue model for performance analysis, but is revised here for heart rate analysis. Comparisons show
that the Convolution model can compete with other known heart rate models. Furthermore, this new model
can be improved by reducing the number of parameters. The remaining parameter seems to be a promising
indicator of the actual subject’s fitness.