To what extent it is possible to predict falls due to standing hypotension by using HRV and wearable devices? Study design and preliminary results from a proof-of-concept study

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 8868, Issue , 2014, Pages 167-170

  Sannino, Giovanna ^a   Melillo, Paolo ^b   de Pietro, Giuseppe ^a   Stranges, Saverio ^c   Pecchia, Leandro ^c  

^a CNR   (Italy)

^b SECOND UNIVERSITY OF NAPLES   (Italy)

^c UNIVERSITY OF WARWICK   (United Kingdom)

Author keywords

Blood Pressure drop down Prediction; HRV analysis; Prediction of falls; Standing Hypotension

Indexed keywords

ASSISTED LIVING; BLOOD; BLOOD PRESSURE; DROPS; PRESSURE DROP; WEARABLE TECHNOLOGY;

HRV ANALYSIS; PILOT STUDIES; PROOF OF CONCEPT; QUALITY OF LIFE; SHORT TERM; STANDING HYPOTENSION; STUDY DESIGN; WEARABLE DEVICES; WELL BEING;

FORECASTING;

EID: 84921376475     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-13105-4_26     Document Type: Article

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