Smartphone-Based Recognition of Heart Failure by Means of Microelectromechanical Sensors.

Francois Haddad¹, Antti Saraste², Kristiina M Santalahti³, Mikko Pänkäälä⁴, Matti Kaisti⁴, Riina Kandolin⁵, Piia Simonen⁵, Wail Nammas⁶, Kamal Jafarian Dehkordi³, Tero Koivisto⁴, Juhani Knuuti⁷, Kenneth W Mahaffey⁸, Juuso I Blomster⁹

¹Stanford Center for Clinical Research, Stanford University School of Medicine, Palo Alto, California, USA. Electronic address: fhaddad@stanford.edu.

²Heart Center, Turku University Hospital, Turku, Finland; University of Turku, Turku, Finland.

³CardioSignal, Turku, Finland.

⁴University of Turku, Turku, Finland; CardioSignal, Turku, Finland.

⁵Helsinki University Hospital, Helsinki, Finland.

⁶Heart Center, Turku University Hospital, Turku, Finland.

⁷University of Turku, Turku, Finland; Turku PET Centre, Turku University Hospital, Turku, Finland.

⁸Stanford Center for Clinical Research, Stanford University School of Medicine, Palo Alto, California, USA.

⁹University of Turku, Turku, Finland; CardioSignal, Turku, Finland; Research Services, Turku University Hospital, Turku, Finland.

PubMed DOI

Abstract

BACKGROUND: Heart failure (HF) is the leading cause of hospitalization in individuals over 65 years of age. Identifying noninvasive methods to detect HF may address the epidemic of HF. Seismocardiography which measures cardiac vibrations transmitted to the chest wall has recently emerged as a promising technology to detect HF. OBJECTIVES: In this multicenter study, the authors examined whether se…

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