Observatorio de I+D+i UPM

Memorias de investigación
Communications at congresses:
Using Classification Algorithms for Telemonitoring Parkinson's Disease Severity
Year:2017
Research Areas
  • Multivariate analysis,
  • Medicine,
  • Information technology and adata processing,
  • Dataprocessing
Information
Abstract
There has been much recent research into the connection between Parkinson's disease (PD) and speech impairment. The findings prove the suitability of monitoring voice features, for tracking PD severity. The Patient Voice Analysis Project (https://www.synapse.org) is a public on line platform in which PD patients provide voice recordings and information about their symptoms. This platform have great potential to obtain large databases that, in addition to facilitate patient monitoring, help in PD research. The PVA data set consist of 779 remote, non-invasive, self administrated speech test, with sustained vowel phonation, and self reported outcomes of Parkinson's Disease Rating Scale questionnaire. With this data set, we have used machine supervised learning classification algorithms for modeling PD severity (five classes) from voice recordings of patients. The best results for the multi-class classification problem have been obtained with a KNN algorithm and features selection. Results show how public telemonitoring platforms could facilitate large-scale clinical trials into novel PD treatments.
International
Si
Congress
Advances in Data Mining 17th Industrial Conference on Data Mining.
970
Place
New-York,
Reviewers
Si
ISBN/ISSN
978-39-4295-250-7
Start Date
12/07/2017
End Date
16/07/2017
From page
121
To page
131
Advances in Data Mining 17th Industrial Conference on Data Mining. Publicado por Ibai-Publishing, ISSN:1864-9734
Participants
  • Autor: Francisco Diaz Perez (UPM)
  • Autor: Alfonsa Garcia Lopez (UPM)
  • Autor: Agustin Alvarez Marquina (UPM)
Research Group, Departaments and Institutes related
  • Creador: Departamento: Sistemas Informáticos
  • Departamento: Matemática Aplicada a Las Tecnologías de la Información y Las Comunicaciones
  • Departamento: Arquitectura y Tecnología de Sistemas Informáticos
S2i 2020 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)