Developing Fine-Grained Actigraphies for Rheumatoid Arthritis Patients from a Single Accelerometer Using Machine Learning

Developing Fine-Grained Actigraphies for Rheumatoid Arthritis Patients from a Single Accelerometer Using Machine Learning

In addition to routine clinical examination, unobtrusive and physical monitoring of Rheumatoid Arthritis (RA) patients provides an important source of information to enable understanding the impact of the disease on quality of life. Besides an increase in sedentary behaviour, pain in RA can negative...

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Bibliographic Details
Main Authors: Javier Andreu-Perez, Luis Garcia-Gancedo, Jonathan McKinnell, Anniek Van der Drift, Adam Powell, Valentin Hamy, Thomas Keller, Guang-Zhong Yang
Format: Article
Language:English
Published: MDPI AG 2017-09-01
Series:Sensors
Subjects:
rheumatoid arthritis
actigraphy
continuous monitoring
machine learning
Online Access:https://www.mdpi.com/1424-8220/17/9/2113

Internet

https://www.mdpi.com/1424-8220/17/9/2113

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