Observatorio de I+D+i UPM

Memorias de investigación
Communications at congresses:
Monitoring Parkinson's Disease from Phonation Improvement by Log Likelihood Ratios
Year:2015
Research Areas
  • Biomedicine,
  • Information technology and adata processing
Information
Abstract
Parkinson's Disease (PD), contrary to other neurodegenerative diseases, supports certain treatments which can improve patients' conditions or at least mitigate disease effects. Treatments, either pharmacological, surgical or rehabilitative need longitudinal monitoring of patients to assess the progression or regression of thier condition, to optimize resources and benefits. As it is well known, PD leaves important marks in phonation, thus correlates obtained from spoken recordings taken at periodic intervals may be used in longitudinal monitoring of PD. The most preferred correlates are mel-cepstral coefficients, distortion features (jitter, shimmer, HNR, PPE, etc.), tremor indicators, or biomechanical coefficients. Feature templates estimated from each periodic evaluation have to be compared to establish potential progression or regression. The present work is devoted to propose a comparison framework based on Log Likelihood Ratios. This methodology shows to be very sensitive and allows a three-band based comparison: pre-treatment status vs post-treatment status in reference to a control subject or to a control population. Results from a database of eight male patients recorded weekly during a month are shown with comments regarding their severity condition. The conclusions derived show that several distortion, biomechanical and tremor features are quite relevant in monitoring PD phonation.
International
Si
Congress
4th International Work Conference on Bioinspired Intelligence (IWOBI), 2015
960
Place
Reviewers
Si
ISBN/ISSN
978-1-4673-7846-8
Start Date
10/06/2015
End Date
12/06/2015
From page
105
To page
110
Proceedings of the 4th International Work Conference on Bioinspired Intelligence (IWOBI), 2015
Participants
  • Autor: Pedro Gomez Vilda (UPM)
  • Autor: Agustin Alvarez Marquina (UPM)
  • Autor: M. Victoria Rodellar Biarge (UPM)
  • Autor: Victor Nieto Lluis (UPM)
  • Autor: Rafael Martinez Olalla (UPM)
  • Autor: Carlos Alfredo Lázaro Carrascosa (Universidad Rey Juan Carlos I)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Informática Aplicada al Procesado de Señal e Imagen
  • Centro o Instituto I+D+i: Centro de tecnología Biomédica CTB
  • 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)