Fuzzy logic‐based risk of fall estimation using smartwatch data as a means to form an assistive feedback mechanism in everyday living activities-Reference-Cited by-同舟云学术

Fuzzy logic‐based risk of fall estimation using smartwatch data as a means to form an assistive feedback mechanism in everyday living activities

Published:2016-11-30 Issue:4 Volume:3 Page:263-268
ISSN:2053-3713
Container-title:Healthcare Technology Letters
language:en
Short-container-title:Healthcare Technology Letters

Author:

Iakovakis Dimitrios E.¹,Papadopoulou Fotini A.²,Hadjileontiadis Leontios J.¹³

Affiliation:

1. Department of Electrical and Computer Engineering Aristotle University of Thessaloniki GR 54124 Thessaloniki Greece

2. Department of Automation Engineering Alexander Technological Educational Institute Sindos GR 57400 Thessaloniki Greece

3. Department of Electrical and Computer Engineering Khalifa University P.O. Box 127788 Abu Dhabi UAE

Publisher

Institution of Engineering and Technology (IET)

Subject

Health Information Management,Health Informatics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/htl.2016.0064

Reference24 articles.

1. Cardiovascular dysautonomia in Parkinson disease: From pathophysiology to pathogenesis

2. Neurogenic orthostatic hypotension in Parkinson's disease: evaluation, management, and emerging role of droxidopa

3. ‘Self‐reported falls and fall‐related injuries among persons aged > or =65 years’—United States, 2006;Stevens J.A.;MMWR Morb. Mortal Wkly Rep.,2008

4. Iakovakis D. Hadjileontiadis L.: ‘Standing hypotension prediction based on smartwatch heart rate variability data: a novel approach’.Mobile HCI 2016 Florence (Tuscany) Italy 6–9 September doi:10.1145/2957265.2970370

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