Observatorio de I+D+i UPM

Memorias de investigación
Communications at congresses:
A Comprehensive Motor Symptom Monitoring and Management System: The Bradykinesia Case
Year:2010
Research Areas
  • Engineering,
  • Electronic technology and of the communications
Information
Abstract
The current work describes a methodology to automatically detect the severity of bradykinesia in motor disease patients using wireless, wearable accelerometers. This methodology was tested with cross validation through a sample of 20 Parkinson¿s disease patients. The assessment of methodology was carried out through some daily living activities which were detected using an activity recognition algorithm. The Unified Parkinson¿s Disease Rating Scale (UPDRS) severity classification of the algorithm coincides between 70 and 86% from that of a trained neurologist depending on the classifier used. These severities were calculated for 5 second segments of the signal with 50% of overlap. A bradykinesia profiler is also presented in this work. This profiler removes the overlap of the segments and calculates the confidence of the resulting events. It also calculates average severity, duration and symmetry values for those events. The profiler has been tested with a bogus dataset. Future work includes better training for the severity classifier with a larger sample and testing the profiler with real, longterm patient data in a projected pilot phase in three European hospitals.
International
Si
Congress
960
Place
Buenos Aires, Argentina
Reviewers
Si
ISBN/ISSN
978-1-4244-4124-2
Start Date
31/08/2010
End Date
04/09/2010
From page
1008
To page
1011
Abstract Book of the 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS) Merging Medical Humanism and Technology EMBC 2010
Participants
  • Autor: Jorge Cancela Gonzalez (UPM)
  • Autor: Mario Pansera . (UPM)
  • Autor: Maria Teresa Arredondo Waldmeyer (UPM)
  • Autor: Juan Jacobo Estrada Paz (UPM)
  • Autor: Matteo Pastorino . (UPM)
  • Autor: Laura Pastor Sanz (UPM)
  • Autor: Juan Luis Villalar González (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Life Supporting Technologies (Tecnologías de Apoyo a la Vida)
S2i 2019 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
Cofinanciación del MINECO en el marco del Programa INNPACTO (IPT-020000-2010-22)