Proceedings on Automation in Medical Engineering
Vol. 2 No. 1 (2023): Proc AUTOMED

Measurement technology and diagnostics, ID 738

Estimation of ventricular volume changes for hydrocephalus treatment

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Fabian Flürenbrock (ETH Zurich), Luca Krebs (ETH Zurich), Nico Wertli (ETH Zurich), Carlos Castelar (RWTH Aachen University), Steffen Leonhardt (RWTH Aachen University), Melanie Zeilinger (ETH Zurich), Marianne Schmid Daners (ETH Zurich), Leonie Korn (ETH Zurich)

Abstract

Hydrocephalus is a medical condition that is treated by draining excessive cerebrospinal fluid out of the brain’s ventricles using a shunt system. While direct control of ventricular volume is aspired, monitoring and treatment of hydrocephalus still mainly rely on measurements of intracranial pressure. To address this challenge, we introduce a method to estimate ventricular volume changes with a Kalman Filter based on intracranial pressure and bioimpedance measurements. High accuracy during in-vitro validation on a mechatronic testbench demonstrates the method’s potential as a new sensor technology for monitoring hydrocephalus patients and controlling shunt drainage.

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