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Article Dans Une Revue IEEE Transactions on Biomedical Engineering Année : 2019

Cardiovascular function and ballistocardiogram: a relationship interpreted via mathematical modeling

Résumé

Objective: to develop quantitative methods for the clinical interpretation of the ballistocardiogram (BCG). Methods: a closed-loop mathematical model of the cardiovascular system is proposed to theoretically simulate the mechanisms generating the BCG signal, which is then compared with the signal acquired via accelerometry on a suspended bed. Results: simulated arterial pressure waveforms and ventricular functions are in good qualitative and quantitative agreement with those reported in the clinical literature. Simulated BCG signals exhibit the typical I, J, K, L, M and N peaks and show good qualitative and quantitative agreement with experimental measurements. Simulated BCG signals associated with reduced contractility and increased stiffness of the left ventricle exhibit different changes that are characteristic of the specific pathological condition. Conclusion: the proposed closed-loop model captures the predominant features of BCG signals and can predict pathological changes on the basis of fundamental mechanisms in cardiovascular physiology. Significance: this work provides a quantitative framework for the clinical interpretation of BCG signals and the optimization of BCG sensing devices. The present study considers an average human body and can potentially be extended to include variability among individuals.
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Dates et versions

hal-02278848 , version 1 (04-09-2019)

Identifiants

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Giovanna Guidoboni, Lorenzo Sala, Moein Enayati, Riccardo Sacco, Marcela Szopos, et al.. Cardiovascular function and ballistocardiogram: a relationship interpreted via mathematical modeling. IEEE Transactions on Biomedical Engineering, 2019, ⟨10.1109/TBME.2019.2897952⟩. ⟨hal-02278848⟩
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