Biomed Eng Lett.  2019 Nov;9(4):425-434. 10.1007/s13534-019-00124-w.

A physiology based model of heart rate variability

Affiliations
  • 1Department of Electrical and Electronic Engineering, Imperial College London, Exhibition Road, London SW7 2AZ, UK. d.mandic@imperial.ac.uk
  • 2Department of Cardiology, Charité Universitätsmedizin Berlin – Campus Benjamin Franklin, Hindenburgdamm 30, Berlin 12203, Germany.

Abstract

Heart rate variability (HRV) is governed by the autonomic nervous system (ANS) and is routinely used to estimate the state of body and mind. At the same time, recorded HRV features can vary substantially between people. A model for HRV that (1) correctly simulates observed HRV, (2) reliably functions for multiple scenarios, and (3) can be personalised using a manageable set of parameters, would be a significant step forward toward understanding individual responses to external influences, such as physical and physiological stress. Current HRV models attempt to reproduce HRV characteristics by mimicking the statistical properties of measured HRV signals. The model presented here for the simulation of HRV follows a radically different approach, as it is based on an approximation of the physiology behind the triggering of a heart beat and the biophysics mechanisms of how the triggering process"”and thereby the HRV"”is governed by the ANS. The model takes into account the metabolisation rates of neurotransmitters and the change in membrane potential depending on transmitter and ion concentrations. It produces an HRV time series that not only exhibits the features observed in real data, but also explains a reduction of low frequency band-power for physically or psychologically high intensity scenarios. Furthermore, the proposed model enables the personalisation of input parameters to the physiology of different people, a unique feature not present in existing methods. All these aspects are crucial for the understanding and application of future wearable health.

Keyword

Modelling heart rate variability; Wearable ECG; Vital signs; Physical stress; Mental stress; Autonomic nervous system

MeSH Terms

Autonomic Nervous System
Biophysics
Heart Rate*
Heart*
Membrane Potentials
Neurotransmitter Agents
Physiology*
Stress, Physiological
Vital Signs
Neurotransmitter Agents
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