Novel Wearable Seismocardiography and Machine Learning Algorithms Can Assess Clinical Status of Heart Failure Patients

BACKGROUND: Remote monitoring of heart failure (HF) patients using wearable devices can allow patient-specific adjustments to treatments and thereby potentially reduce hospitalizations. We aimed to assess HF state using wearable measurements of electrical and mechanical aspects of cardiac function i...

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Pubblicato in:Circ Heart Fail
Autori principali: Inan, Omer T., Pouyan, Maziyar Baran, Javaid, Abdul Q., Dowling, Sean, Etemadi, Mozziyar, Dorier, Alexis, Heller, J. Alex, Bicen, A. Ozan, Roy, Shuvo, De Marco, Teresa, Klein, Liviu
Natura: Artigo
Lingua:Inglês
Pubblicazione: 2018
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Article
Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC5769154/
https://ncbi.nlm.nih.gov/pubmed/29330154
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1161/CIRCHEARTFAILURE.117.004313
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