Monitoring Berlin Heart EXCOR by computer vision: A preliminary implementation and evaluation.

Hidehito OtaTomomi FujimuraAyumi KunikataTomosato YamagataHisataka NozawaHironori EbishimaSatoshi KoderaRyo InuzukaYasutaka HirataHikoro Matsui

Published in: Artificial organs (2024)

Image recognition models based on lightweight deep neural networks could detect the diaphragm state of EXCOR VAD with sufficient accuracy, although there were limited variations in the dataset. This suggests the potential of computer vision for the automated monitoring of the EXCOR diaphragm position.

Keyphrases

deep learning
neural network
mechanical ventilation
machine learning
primary care
healthcare
heart failure
high throughput
atrial fibrillation
intensive care unit
human health
acute respiratory distress syndrome
risk assessment
extracorporeal membrane oxygenation
clinical evaluation