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Title: Passive Smartphone Actigraphy Data Predicts Heart Failure Decompensation
Heart failure (HF) is a major cause of morbidity and mortality, and one of the leading causes of hospitalization. Early detection of HF symptoms and pro-active management may reduce adverse events. Passive accelerometer data from smartphones may reflect behavioral and physiologic changes due to HF and thus could enable prediction of HF decompensation.
Authors:
; ; ; ; ; ; ; ; ; ;
Award ID(s):
1636933
Publication Date:
NSF-PAR ID:
10202434
Journal Name:
Circulation
Volume:
140
Issue:
Supp_1
Page Range or eLocation-ID:
A15444
ISSN:
1642-4379
Sponsoring Org:
National Science Foundation
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