Model-Based Design and Experimental Validation of Control Modules for Neuromodulation Devices

Abstract : The goal of this paper is to propose a model-based control design framework, adapted to the development of control modules for medical devices. A particular example is presented in which instantaneous heart rate is regulated in real-time, by modulating, in an adaptive manner, the current delivered to the vagus nerve by a neuromodulator. The proposed framework couples a control module, based on a classical PI controller, a mathematical model of the medical device, and a physiological model representing the cardiovascular responses to vagus nerve stimulation (VNS). In order to analyze and evaluate the behavior of the device, different control parameters are tested on a "virtual population," generated with the model, according to the Latin Hypercube sampling method. In particular, sensitivity analyses are applied for the identification of a domain of interest in the space of the control parameters. The obtained control parameter domain has been validated in an experimental evaluation on six sheep. A range of control parameters leading to accurate results was successfully estimated by the proposed model-based design method. Experimental evaluation of the control parameters inside such a domain led to the best compromise between accuracy and time response of the VNS control. The feasibility and usefulness of the proposed model-based design method were shown, leading to a functional, real-time closed-loop control of the VNS for the regulation of heart rate.
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Hector M Romero Ugalde, David Ojeda, Virginie Le Rolle, David Andreu, David Guiraud, et al.. Model-Based Design and Experimental Validation of Control Modules for Neuromodulation Devices. IEEE Transactions on Biomedical Engineering, Institute of Electrical and Electronics Engineers, 2016, 63 (7), pp.1551-1558. ⟨10.1109/TBME.2015.2498878⟩. ⟨hal-01337430⟩

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