Proceedings on Automation in Medical Engineering
Vol. 1 No. 1 (2020): Proc AUTOMED

Modelling and control, ID 005

A self-calibrating and learning control system for non-invasive continuous perioperative blood pressure measurement

Main Article Content

Patrick Borchers (RWTH Aachen University), Daniel Laidig , Paul Geus , Thomas Schauer , Thomas Seel 


State-of-the-art non-invasive blood pressure measurement devices according to Riva-Rocci only allow for non-continuous measurements every few minutes. This paper presents a non-invasive system that can measure the blood pressure continuously. The system contains a pressure control loop as well as an Iterative Learning Control loop. The pressure controller initially performs a calibration procedure to adapt itself to different pressure dynamics. Furthermore, time-scale transformation is applied for the Iterative Learning Control to enable the system to deal with varying heart rates. The mentioned system properties render it well suited for blood pressure monitoring during surgery.

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