Observatorio de I+D+i UPM

Memorias de investigación
Communications at congresses:
Preliminary Results of ON/OFF Detection Using an Integrated System for Parkinson's Disease Monitoring
Year:2013
Research Areas
  • Natural sciences and health sciences,
  • Electronic technology and of the communications
Information
Abstract
This paper describes the experimental set up of a system composed by a set of wearable sensors devices for the recording of the motion signals and software algorithms for the signal analysis. This system is able to automatically detect and assess the severity of bradykinesia, tremor, dyskinesia and akinesia motor symptoms. Based on the assessment of the akinesia, the ON-OFF status of the patient is determined for each moment. The assessment performed through the automatic evaluation of the akinesia is compared with the status reported by the patients in their diaries. Preliminary results with a total recording period of 32 hours with two PD patients are presented, where a good correspondence (88.2 +/- 3.7 %) was observed. Best (93.7%) and worst (87%) correlation results are illustrated, together with the analysis of the automatic assessment of the akinesia symptom leading to the status determination. The results obtained are promising, and if confirmed with further data, this automatic assessment of PD motor symptoms will lead to a better adjustment of medication dosages and timing, cost savings and an improved quality of life of the patients.
International
No
Congress
Proceedings of the 35th Annual International IEEE EMBS Conference of the IEEE Engineering in Medicine and Biology Society
960
Place
Osaka International Convention Center, Osaka, Japan
Reviewers
Si
ISBN/ISSN
978-1-4577-0216-7
Start Date
03/07/2013
End Date
07/07/2013
From page
941
To page
944
35th Annual International IEEE EMBS Conference of the IEEE Engineering in Medicine and Biology Society
Participants
  • Autor: Matteo Pastorino . (UPM)
  • Autor: Maria Teresa Arredondo Waldmeyer (UPM)
  • Autor: Laura Pastor Sanz (UPM)
  • Autor: S CONTARDI
  • Autor: Jorge Cancela Gonzalez (UPM)
  • Autor: F VALZANIA
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Tecnologías de Apoyo a la Vida
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