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Speech-based identification of L-DOPA ON/OFF state in Parkinson's Disease subjects

View ORCID ProfileRaquel Norel, Carla Agurto, John Jeremy Rice, Bryan K Ho, Guillerma A Cecchi
doi: https://doi.org/10.1101/420422
Raquel Norel
IBM;
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  • For correspondence: rnorel@us.ibm.com
Carla Agurto
IBM;
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John Jeremy Rice
IBM;
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Bryan K Ho
Department of Neurology, Tufts University School of Medicine and Tufts Medical Center
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Guillerma A Cecchi
IBM;
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Abstract

Background: Parkinson's disease patients (PDP) are evaluated using the unified Parkinson's disease rating scale (UPDRS) to follow the longitudinal course of the disease. UPDRS evaluation is performed by a neurologist, and hence its use is limited in the evaluation of short-term (daily) fluctuations. Subjects taking L-DOPA as part of treatment to reduce symptoms exhibit motor fluctuations as a common complication. Objectives: The aim of the study is to assess the use of speech analysis as a proxy to continuously monitor PDP medication state. Methods: We combine acoustic, prosody, and semantic features to characterize three speech tasks (picture description, reverse counting and diadochokinetic rate) of 25 PDP evaluated under different medication states: ON and OFF L-DOPA. Results: Classification of medication states using features extracted from audio recordings results in cross-validated accuracy rates of 0.88, 0.84 and 0.71 for the picture description, reverse counting and diadochokinetic rate tasks, respectively. When adding feature selection and semantic features, the accuracy rates increase to 1.00, 0.96 and 0.83 respectively; thus reaching very high classification accuracy on 3 different tasks. Conclusions: We show that speech-based features are highly predictive

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted September 18, 2018.
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Speech-based identification of L-DOPA ON/OFF state in Parkinson's Disease subjects
Raquel Norel, Carla Agurto, John Jeremy Rice, Bryan K Ho, Guillerma A Cecchi
bioRxiv 420422; doi: https://doi.org/10.1101/420422
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Speech-based identification of L-DOPA ON/OFF state in Parkinson's Disease subjects
Raquel Norel, Carla Agurto, John Jeremy Rice, Bryan K Ho, Guillerma A Cecchi
bioRxiv 420422; doi: https://doi.org/10.1101/420422

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