A self-calibrating and learning control system for non-invasive continuous perioperative blood pressure measurement
Abstract
State-of-the-artnon-invasive blood pressure measurement devices according to Riva-Rocci only allow for non-continuous measurementsevery few minutes.Thispaper presents a non-invasive system that can measure the blood pressurecontinuously.The systemcontainsa pressure control loop as well asan Iterative Learning Controlloop.The pressure controllerinitiallyperforms a calibration procedure to adapt itself to different pressuredynamics. Furthermore, time-scale transformation is applied for the Iterative Learning Controlto enable the system to deal with varying heart rates. Thementioned system properties render it well suited forblood pressure monitoring during surgery.
Details
- Externe Organisation(en)
-
Technische Universität Berlin
Charité - Universitätsmedizin Berlin
Rheinisch-Westfälische Technische Hochschule Aachen (RWTH)
- Typ
- Artikel
- Journal
- Proceedings on Automation in Medical Engineering
- Band
- 1
- Anzahl der Seiten
- 3
- Publikationsdatum
- 2020
- Publikationsstatus
- Veröffentlicht
- Peer-reviewed
- Ja
- Elektronische Version(en)
-
https://doi.org/10.18416/AUTOMED.2020 (Zugang:
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