IEEE - Institute of Electrical and Electronics Engineers, Inc. - Viscosity Prediction in a Physiologically Controlled Ventricular Assist Device

Author(s): Anastasios Petrou ; Menelaos Kanakis ; Stefan Boes ; Panagiotis Pergantis ; Mirko Meboldt ; Marianne Schmid Daners
Sponsor(s): IEEE Engineering In Medicine and Biology Society
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 October 2018
Volume: 65
Page(s): 2,355 - 2,364
ISSN (Electronic): 1558-2531
ISSN (Paper): 0018-9294
DOI: 10.1109/TBME.2018.2797424
Regular:

Objective: We present a novel machine learning model to accurately predict the blood-analog viscosity during support of a pathological circulation with a rotary ventricular assist device (VAD).... View More

Advertisement