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

Abstract

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.

Authors 5

1. Patrick Borchers Aachen

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University

2. Daniel Laidig
3. Paul Friedrich Geus
4. Thomas Schauer
5. Thomas Seel