Digital phenotyping from heart rate dynamics: Identification of zero-poles models with data-driven evolutionary learning.

Abstract excerpt

Heart rate response to physical activity is widely investigated in clinical and training practice, as it provides information on a person's physical state. For emerging digital phenotyping approaches, there is a need for individualized model estimation. In this study, we propose a zero-poles model and a data-driven evolutionary learning method for identification. We also perform a comparison with existing first...

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