Observatorio de I+D+i UPM

Descripción
The aim of this paper is to describe and present the results of the automatic detection and assessment of bradykinesia in motor disease patients using wireless, wearable accelerometers. The current work is related to a module of the PERFORM system, a FP7 project from the European Commission, that aims at providing an innovative and reliable tool, able to evaluate, monitor and manage patients suffering from Parkinson's disease. The assessment procedure was carried out through a developed C# library that detects the activities of the patient using an activity recognition algorithm and classifies the data using a Support Vector Machine trained with data coming from previous test phases. The accuracy between the output of the automatic detection and the evaluation of the clinician both expressed with the Unified Parkinson's disease Rating Scale, presents an average value of [68.3±8.9]%. A meta-analysis algorithm is used in order to improve the accuracy to an average value of [74.4±14.9]%. Future work will include a personalized training of the classifiers in order to achieve a higher level of accuracy.
Internacional	Si
Nombre congreso	33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC ?11).
Tipo de participación	960
Lugar del congreso
Revisores	Si
ISBN o ISSN	978-1-4244-4121-1
DOI
Fecha inicio congreso	30/08/2011
Fecha fin congreso	03/09/2011
Desde la página	1810
Hasta la página	1813
Título de las actas	Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC ?11).

Esta actividad pertenece a memorias de investigación

• Autor: Matteo Pastorino . (UPM)
• Autor: Jorge Cancela Gonzalez (UPM)
• Autor: Maria Teresa Arredondo Waldmeyer (UPM)
• Autor: Mario Pansera . (UPM)
• Autor: Laura Pastor Sanz (UPM)
• Autor: Federico Villagra (Universidad de Navarra)
• Autor: Maria Pastor (Universidad de Navarra)
• Autor: Jose Antonio Martin Pereda (UPM)

• Creador: Grupo de Investigación: Life Supporting Technologies (Tecnologías de Apoyo a la Vida)
• Centro o Instituto I+D+i: Centro de tecnología Biomédica CTB
• Departamento: Tecnología Fotónica y Bioingeniería