Journal ArticlePassive Smartphone Actigraphy Data Predicts Heart Failure DecompensationCakmak, A; Lanier Jr, H; Reinertsen, E; Harzand, A; Maziar Zafari, A; Hammoud, MA; Alrohaibani, A; Wakwe, C; Appeadu, M; Clifford, GD; Shah, AnullHeart 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.2019-11-0110202434Circulation140Supp_1A154441642-4379https://doi.org/1636933National Science Foundation