Prediction of heart failure events based on physiologic sensor data in HINODE defibrillator patients

Abstract Aims Hospitalizations are common in patients with heart failure and are associated with high mortality, readmission and economic burden. Detecting early signs of worsening heart failure may enable earlier intervention and reduce hospitalizations. The HeartLogic algorithm is designed to pred...

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Auteurs principaux:	Nobuhiro Nishii, Yasushi Sakata, Toyoaki Murohara, Kenji Ando, Takanori Ikeda, Takeshi Mitsuhashi, Akihiko Nogami, Wataru Shimizu, Torri Schwartz, Torsten Kayser, Caroline Beaudoint, Kazutaka Aonuma, for HINODE Investigators
Format:	Artigo
Langue:	Inglês
Publié:	Oxford University Press 2024-10-01
Collection:	ESC Heart Failure
Sujets:	HeartLogic heart failure remote monitoring ICD CRT hospitalization
Accès en ligne:	https://doi.org/10.1002/ehf2.14890
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