Enhanced classical dysphonia measures and sparse regression for telemonitoring of Parkinson's disease progression

Athanasios Tsanas, Max A. Little, Patrick E. McSharry, Lorraine O. Ramig

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Dysphonia measures are signal processing algorithms that offer an objective method for characterizing voice disorders from recorded speech signals. In this paper, we study disordered voices of people with Parkinson's disease (PD). Here, we demonstrate that a simple logarithmic transformation of these dysphonia measures can significantly enhance their potential for identifying subtle changes in PD symptoms. The superiority of the log-transformed measures is reflected in feature selection results using Bayesian Least Absolute Shrinkage and Selection Operator (LASSO) linear regression. We demonstrate the effectiveness of this enhancement in the emerging application of automated characterization of PD symptom progression from voice signals, rated on the Unified Parkinson's Disease Rating Scale (UPDRS), the gold standard clinical metric for PD. Using least squares regression, we show that UPDRS can be accurately predicted to within six points of the clinicians' observations.

Original languageEnglish
Title of host publication2010 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages594-597
Number of pages4
DOIs
Publication statusPublished - 28 Jun 2010
Event2010 IEEE International Conference on Acoustics, Speech, and Signal Processing - Dallas
Duration: 14 Mar 201019 Mar 2010

Publication series

NameInternational Conference on Acoustics Speech and Signal Processing ICASSP
PublisherIEEE
ISSN (Print)1520-6149

Conference

Conference2010 IEEE International Conference on Acoustics, Speech, and Signal Processing
CityDallas
Period14/03/1019/03/10

Keywords

  • telemedicine
  • sparse regression
  • dysphonia measures
  • Parkinson's Disease (PD)
  • Least Absolute Shrinkage and Selection Operator (LASSO)

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