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

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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Bibliographic Details
Main Authors: 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: Article
Language:English
Published: Wiley 2024-10-01
Series:ESC Heart Failure
Subjects:
HeartLogic
heart failure
remote monitoring
ICD
CRT
hospitalization
Online Access:https://doi.org/10.1002/ehf2.14890

Internet

https://doi.org/10.1002/ehf2.14890

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