Observatorio de I+D+i UPM

Memorias de investigación
Ponencias en congresos:
Classification of Parkinson's Disease patients though voice parameters collected by mobile devices
Año:2019
Áreas de investigación
  • Procesado y análisis de la señal
Datos
Descripción
The mPower: Mobile Parkinson Disease (PD) Stydy is an observational study developed to evaluate the feasibility of remotely collecting information about PD symptoms. With the mPower App, voice recordings have been collected by volunteer participants with their own smartphones, which was then added to each individual PD diagnosis. In this papaer we present a basic analysis of the voice data and a feature extraction process on a sample of 2218 participants. Statistical analysis was performed to idebtify diagnosis through such parameteres and some demographical variables. principal Componente Analysis (PCA), analysis of variance (ANOVA), and multilayer perceptron (MLP) were used in order to build a prediction model. The 62 initial parameters were reduced to 5, obtaining similar predictive capacity with 62 or 5 parameters. The use of acoustic voice parameteres has been proposed as an objetive and non-invasive method for the early diagnosis of the disease. This work contibutes to ideentify voice parameters that allow through prediction models, remote monitoring of patientes,and reducing cost.
Internacional
Si
Nombre congreso
The 13th World Congress on Controversies in Neurology (CONy)
Tipo de participación
970
Lugar del congreso
Madrid
Revisores
Si
ISBN o ISSN
DOI
Fecha inicio congreso
04/04/2019
Fecha fin congreso
07/04/2019
Desde la página
Hasta la página
Título de las actas
CONy 2018 Abstract Journal
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Mónica Guliano Guliano (UNLaM)
  • Autor: Francisco Diaz Perez (UPM)
  • Autor: Alfonsa Garcia Lopez (UPM)
  • Autor: S. Noemí Pérez (UNLaM)
  • Autor: G. Blanco (UNLaM)
  • Autor: S. Sandonato (UNLaM)
  • Autor: E. Maldonado (UNALaM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Departamento: Sistemas Informáticos
S2i 2021 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)