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Authors: A. Gómez-Rodellar 1 ; D. Palacios-Alonso 2 ; J. Mekyska 3 ; A. Álvarez-Marquina 1 and P. Gómez-Vilda 1

Affiliations: 1 Neuromorphic Speech Processing Lab, Center for Biomedical Technology, Universidad Politécnica de Madrid, Campus de Montegancedo, 28223 Pozuelo de Alarcón, Madrid, Spain ; 2 Escuela Técnica Superior de Ingeniería Informática, Universidad Rey Juan Carlos, Campus de Móstoles, Tulipán, s/n, 28933 Móstoles, Madrid, Spain ; 3 Department of Telecommunications, Brno University of Technology, Technicka 10, 61600 Brno, Czech Republic

Keyword(s): Parkinson’s Disease, Neuromorphic Speech Processing, Neurotechnology, Aging Speech, e-Health.

Abstract: Speech is being considered a pervasive and costless means to detect and monitor neurodegenerative disease progression. Many different approaches have been reported to differentiate normative subject speech from neurodegenerative patient speech. Most of them are focussed on statistical pattern recognition approaches to improve detection results on a baseline, considering only patient speech and normative controls. The definition of a normative control is not well established in itself, usually being subjects free of any pathology aligned in the same age range as patients. But one question which is not taken into account is the effects of aging in healthy controls, as usually neurodegenerative diseases may include mostly patients affected by certain effects, as dysphonia or dysarthria, as a consequence of aging. The present research introduces a methodology based on information theory to compare the effects produced by aging dysarthria with those due to Parkinson’s Disease, using the s tatistical distribution of speech articulation kinematics as a marker. On the one hand, it may be concluded that articulation kinematics is substantially different for PD and HC with respect to normative subjects. On the other hand, this does not seem to be the case between PD and HC subjects, as these subsets may share some dysarthric features which may be contributed more by aging than by neuromotor degeneration. This differentiation problem needs to be evaluated as well in the case of phonation features, otherwise there will not be full guarantee in using phonation features to assess neuromotor degeneration. In this sense new methodologies have to be designed to distinguish neurodegenerative from aging speech granting better guarantees. (More)

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Paper citation in several formats:
Gómez-Rodellar, A.; Palacios-Alonso, D.; Mekyska, J.; Álvarez-Marquina, A. and Gómez-Vilda, P. (2019). Comparing Parkinson's Disease Dysarthria and Aging Speech using Articulation Kinematics. In Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019) - BIOSIGNALS; ISBN 978-989-758-353-7; ISSN 2184-4305, SciTePress, pages 52-61. DOI: 10.5220/0007355700520061

@conference{biosignals19,
author={A. Gómez{-}Rodellar. and D. Palacios{-}Alonso. and J. Mekyska. and A. Álvarez{-}Marquina. and P. Gómez{-}Vilda.},
title={Comparing Parkinson's Disease Dysarthria and Aging Speech using Articulation Kinematics},
booktitle={Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019) - BIOSIGNALS},
year={2019},
pages={52-61},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007355700520061},
isbn={978-989-758-353-7},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019) - BIOSIGNALS
TI - Comparing Parkinson's Disease Dysarthria and Aging Speech using Articulation Kinematics
SN - 978-989-758-353-7
IS - 2184-4305
AU - Gómez-Rodellar, A.
AU - Palacios-Alonso, D.
AU - Mekyska, J.
AU - Álvarez-Marquina, A.
AU - Gómez-Vilda, P.
PY - 2019
SP - 52
EP - 61
DO - 10.5220/0007355700520061
PB - SciTePress