4.6 Article

A mechatronic test-bench to investigate the impact of ventricular pulsation in hydrocephalus

Journal

BIOMEDICAL SIGNAL PROCESSING AND CONTROL
Volume 75, Issue -, Pages -

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.bspc.2022.103579

Keywords

Intracranial pulsation; Cerebrospinal fluid; Brain phantom; Electromechanical modelling

Funding

  1. German Research Fund (DFG) [RA 548/12-1]

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In this study, a novel feedback-controlled mechatronic test-bench that replicates the pulsatile intracranial pressure (ICP) wave is presented. The proposed approach uses MATLAB simulation and a test environment consisting of a linear actuator and a metal bellows to generate the ICP wave profile. The results show that the hardware setup successfully delivers the ICP profile to the intracranial cavity, allowing for flexible testing scenarios for hydrocephalus prototypes.
Background: In vitro modelling of the intracranial pressure (ICP) profile is an important tool to test potential prototypes for the diagnosis and treatment of hydrocepahlus. Objective: Here, a novel feedback-controlled mechatronic test-bench, which replicates the pulsatile ICP wave, is presented. Methods: The design is based on a MATLAB Simscape simulation of the intracranial system (ICS) and a test environment consisting of a linear actuator coupled to a metal bellows that deliver an ICP wave profile to the inner ventricular cavity of a silicon-gel-carbon brain phantom. The proposed approach applies the Lagrange formalism for the electromechanical modelling of the system. MATLAB's Grey-Box system identification tool is used and a PID controller is implemented. The ICS simulation is adapted from existing models from literature. A physiological aortic pressure wave is the input of the system. Results: The ICS model is able to generate wave profiles of varying morphology according to model parameters such as vessel compliance, capillary resistance and cerebrospinal fluid production rate. The wave profile serves as the reference pressure, ICPref, for the controller. Finally, the hardware setup successfully delivers the ICP profile to the intracranial cavity, ICPmeas, measured by a pressure sensor connected to the internal cavity of the brain phantom. Conclusion: The detailed in silico ICS model with cardiovascular coupling integrated with a modular brain phantom allows for flexible test scenarios in contrast to purely hydraulic setups. Future work will focus on the optimization of the test-bench for the validation of specific prototypes in the field of hydrocephalus.

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