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

Autor
Sama, A.; Perez, C.; Rodriguez-Martin, D.; Cabestany, J.; Moreno, J.; Rodríguez, A.
Tipus d'activitat
Presentació treball a congrés
Nom de l'edició
21th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning
Any de l'edició
2013
Data de presentació
2013-04-26
Llibre d'actes
ESANN 2013 proceedings: European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning: Bruges (Belgium), 24-26 April 2013
Pàgina inicial
413
Pàgina final
418
Projecte finançador
Personal Health Device for the Remote and Autonomous Management of
Repositori
http://hdl.handle.net/2117/22465 Obrir en finestra nova
URL
https://www.elen.ucl.ac.be/Proceedings/esann/esannpdf/es2013-57.pdf Obrir en finestra nova
Resum
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...
Citació
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.
Grup de recerca
CETpD -Centre d'Estudis Tecnològics per a l'Atenció a la Dependència i la Vida Autònoma
ISSET - Integrated Smart Sensors and Health Technologies

Participants

Arxius