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Home detection of freezing of gait using Support Vector Machines through a single waist-worn triaxial accelerometer

Author
Rodriguez-Martin, D.; Sama, A.; Perez, C.; Catala, A.; Moreno, J.; Cabestany, J.
Type of activity
Journal article
Journal
PloS one
Date of publication
2017-02-01
Volume
12
Number
2
First page
1
Last page
22
DOI
https://doi.org/10.1371/journal.pone.0171764 Open in new window
Project funding
Personal Health System for Remote Management of Parkinson Disease (REMPARK)
REMPARK ICT-287677
Repository
http://hdl.handle.net/2117/102185 Open in new window
URL
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0171764 Open in new window
Abstract
Among Parkinson’s disease (PD) symptoms, freezing of gait (FoG) is one of the most debilitating. To assess FoG, current clinical practice mostly employs repeated evaluations over weeks and months based on questionnaires, which may not accurately map the severity of this symptom. The use of a non-invasive system to monitor the activities of daily living (ADL) and the PD symptoms experienced by patients throughout the day could provide a more accurate and objective evaluation of FoG in order to ...
Citation
Rodriguez-Martin, D., Sama, A., Perez, C., Catala, A., Moreno, J., Cabestany, J. Home detection of freezing of gait using Support Vector Machines through a single waist-worn triaxial accelerometer. "PLoS one", 1 Febrer 2017, vol. 12, núm. 2, p. 1-22.
Group of research
CETpD - Technical Research Centre for Dependency Care and Autonomous Living
ISSET - Integrated Smart Sensors and Health Technologies