Identification of cardiac afterload dynamics from data

Pigot, H.; Hansson, J.; Paskevicius, A.; Liao, Q.; Sjöberg, T.; Steen, S.; Soltesz, K.

doi:10.1101/2021.03.31.437920

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bioRxiv · 10.1101/2021.03.31.437920

Identification of cardiac afterload dynamics from data

Pigot, H.·Hansson, J.·Paskevicius, A.·Liao, Q.·Sjöberg, T.·Steen, S.·Soltesz, K.

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Abstract

The prospect of ex vivo functional evaluation of donor hearts is considered. Particularly, the dynamics of a synthetic cardiac afterload model are compared to those of normal physiology. A method for identification of continuous-time transfer functions from sampled data is developed and verified against results from the literature. The method relies on exact gradients and Hessians obtained through automatic differentiation. This also enables straightforward sensitivity analyses. Such analyses reveal that the 4-element Windkessel model is not practically identifiable from representative data while the 3-element model underfits the data. Pressure-volume (PV) loops are therefore suggested as an alternative for comparing afterload dynamics.

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Pigot, H., Hansson, J., Paskevicius, A., Liao, Q., Sjöberg, T., Steen, S., Soltesz, K.. 2021-04-01. Identification of cardiac afterload dynamics from data. https://doi.org/10.1101/2021.03.31.437920

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