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A heterogeneous database for movement knowledge extraction in Parkinson's disease

Author
Sama, A.; Perez, C.; Rodriguez-Martin, D.; Cabestany, J.; Moreno, J.; Rodríguez, A.
Type of activity
Presentation of work at congresses
Name of edition
21th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning
Date of publication
2013
Presentation's date
2013-04-26
Book of congress proceedings
ESANN 2013 proceedings: European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning: Bruges (Belgium), 24-26 April 2013
First page
413
Last page
418
Project funding
Personal Health Device for the Remote and Autonomous Management of
Repository
http://hdl.handle.net/2117/22465 Open in new window
URL
https://www.elen.ucl.ac.be/Proceedings/esann/esannpdf/es2013-57.pdf Open in new window
Abstract
This paper presents the design and methodology used to create a heterogeneous database for knowledge movement extraction in Parkinson's Disease. This database is being constructed as part of REM- PARK project and is composed of movement measurements acquired from inertial sensors, standard medical scales as Uni ed Parkinson's Disease Rating Scale, and other information obtained from 90 Parkinson's Disease patients. The signals obtained will be used to create movement disorder detection algorithm...
Citation
Sama, A. [et al.]. A heterogeneous database for movement knowledge extraction in Parkinson's disease. A: European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. "ESANN 2013 proceedings: European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning: Bruges (Belgium), 24-26 April 2013". Bruges: 2013, p. 413-418.
Group of research
CETpD - Technical Research Centre for Dependency Care and Autonomous Living
ISSET - Integrated Smart Sensors and Health Technologies

Participants

Attachments