Software-based Prediction of Cannula Occlusion during Extracorporeal Blood Circulation through Networked Medical Data
This paper presents a novel method to predict the occlusion of a withdrawing cannula during extracorporeal circulation due to a networked intensive care setup. During in-vivo experiments we were able to detect the cannula suction up to 90 seconds prior to the collapse of extracorporeal blood flow. The elaborated metric is based on heart rate, extracorporeal blood flow and blood pressure at the withdrawing cannula conjoined in a cyber-medical system.
Stollenwerk, André and Kühn, Jan and Walter, Marian and Brendle, Christian and Wardeh, Nabil and Rossaint, Rolf and Leonhardt, Steffen and Kowalewski, Stefan and Kopp, Rüdger