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Titel:

Implantable cardiac monitors: artificial intelligence and signal processing reduce remote ECG review workload and preserve arrhythmia detection sensitivity.

Dokumenttyp:
Journal Article
Autor(en):
Bisignani, Giovanni; Cheung, Jim W; Rordorf, Roberto; Kutyifa, Valentina; Hofer, Daniel; Berti, Dana; Di Biase, Luigi; Martens, Eimo; Russo, Vincenzo; Vitillo, Paolo; Zoutendijk, Marlies; Deneke, Thomas; Köhler, Irina; Schrader, Jürgen; Upadhyay, Gaurav
Abstract:
INTRODUCTION: Implantable cardiac monitors (ICMs) provide long-term arrhythmia monitoring, but high rates of false detections increase the review burden. The new "SmartECG" algorithm filters false detections. Using large real-world data sets, we aimed to quantify the reduction in workload and any loss in sensitivity from this new algorithm. METHODS: Patients with a BioMonitor IIIm and any device indication were included from three clinical projects. All subcutaneous ECGs (sECGs) transmitted via...     »
Zeitschriftentitel:
Front Cardiovasc Med
Jahr:
2024
Band / Volume:
11
Volltext / DOI:
doi:10.3389/fcvm.2024.1343424
PubMed:
http://view.ncbi.nlm.nih.gov/pubmed/38322767
TUM Einrichtung:
Klinik und Poliklinik für Innere Medizin I, Kardiologie (Prof. Laugwitz)
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