Mathematical Modelling of Heart Rate Changes in the Mouse

Christie, Mark; Nandi, Manasi; Borg, Yanika; Carapella, Valentina; Mirams, Gary; Aston, Philip; Bayram, Saziye; D. Simitev, Radostin; Siggers, Jennifer; Chakrabarti, Buddhapriya

Abstract

The CVS is composed of numerous interacting and dynamically regulated physiological subsystems which each generate measurable periodic components such that the CVS can itself be presented as a system of weakly coupled oscillators. The interactions between these oscillators generate a chaotic blood pressure waveform signal, where periods of apparent rhythmicity are punctuated by asynchronous behaviour. It is this variability which seems to characterise the normal state. We used a standard experimental data set for the purposes of analysis and modelling. Arterial blood pressure waveform data was collected from conscious mice instrumented with radiotelemetry devices over $24$ hours, at a $100$ Hz and $1$ kHz time base. During a $24$ hour period, these mice display diurnal variation leading to changes in the cardiovascular waveform. We undertook preliminary analysis of our data using Fourier transforms and subsequently applied a series of both linear and nonlinear mathematical approaches in parallel. We provide a minimalistic linear and nonlinear coupled oscillator model and employed spectral and Hilbert analysis as well as a phase plane analysis. This provides a route to a three way synergistic investigation of the original blood pressure data by a combination of physiological experiments, data analysis viz. Fourier and Hilbert transforms and attractor reconstructions, and numerical solutions of linear and nonlinear coupled oscillator models. We believe that a minimal model of coupled oscillator models that quantitatively describes the complex physiological data could be developed via such a method. Further investigations of each of these techniques will be explored in separate publications.

Citation

Christie, M., Nandi, M., Borg, Y., Carapella, V., Mirams, G., Aston, P., …Chakrabarti, B. Mathematical Modelling of Heart Rate Changes in the Mouse. NC3Rs

• Report Type: Technical Report
• Deposit Date: Aug 22, 2019
• Publicly Available Date: Jan 24, 2020
• Keywords: Tissues and Organs
• Public URL: https://nottingham-repository.worktribe.com/output/2465160
• Additional Information: Preprint published on arXiv.; ; This is a report that summarises the outcomes from the UK MMSG NC3R's Study Group meeting in London, 15–18 April 2013 in response to a problem entitled `Modelling heart rate changes in the mouse as a series of delayed, weakly coupled oscillators', presented by MC and MN