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Biomarkers of Neurodegenerative Progression from Spontaneous Speech Recorded in Mobile Devices: An Approach based on Articulation Speed Estimation

Topics: Detection and Identification; Medical Signal Acquisition, Analysis and Processing; Monitoring and Telemetry; Physiological Processes and Bio-Signal Modeling, Non-Linear Dynamics

Authors: Ana Londral 1 ; 2 ; Pedro Gómez Vilda 3 and Andrés Gómez-Rodellar 3

Affiliations: 1 Instituto de Medicina Molecular, University of Lisbon, Portugal ; 2 Escola Superior de Tecnologia, Instituto Politécnico de Setúbal, Portugal ; 3 Center for Biomedical Technology, Universidad Politécnica de Madrid, Spain

Keyword(s): Mobile Devices, Clinical Remote Monitoring, Speech Signal Processing, Amyotrophic Lateral Sclerosis.

Abstract: A majority of patients with Amyotrophic Lateral Sclerosis (ALS) experiment a rapid evolution of symptoms related to a progressive decline in movement function that affects different systems. Clinical assessment is based on measures of progression for identifying the need and the pace of medical decisions, and to measure also the effects of novel therapies. But assessment is limited to the periodicity of clinical appointments that are increasingly difficult for patients due to progressive mobility impairments. In this paper, we present a novel method to assess neurodegeneration process through speech analysis. An articulation kinematic model is proposed to identify markers of neuromotor functional progression in speech. We analysed speech samples that were collected with a mobile device, in 3-month intervals, from a group of six subjects with ALS. Results suggest that the method proposed is sensitive to the symptoms of the disease, as rated by observational clinical scales, and it may contribute to assist clinicians and researchers with better and continuous measures of disease progression. (More)

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Paper citation in several formats:
Londral, A.; Gómez Vilda, P. and Gómez-Rodellar, A. (2018). Biomarkers of Neurodegenerative Progression from Spontaneous Speech Recorded in Mobile Devices: An Approach based on Articulation Speed Estimation. In Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018) - BIOSIGNALS; ISBN 978-989-758-279-0; ISSN 2184-4305, SciTePress, pages 269-275. DOI: 10.5220/0006731302690275

@conference{biosignals18,
author={Ana Londral. and Pedro {Gómez Vilda}. and Andrés Gómez{-}Rodellar.},
title={Biomarkers of Neurodegenerative Progression from Spontaneous Speech Recorded in Mobile Devices: An Approach based on Articulation Speed Estimation},
booktitle={Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018) - BIOSIGNALS},
year={2018},
pages={269-275},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006731302690275},
isbn={978-989-758-279-0},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018) - BIOSIGNALS
TI - Biomarkers of Neurodegenerative Progression from Spontaneous Speech Recorded in Mobile Devices: An Approach based on Articulation Speed Estimation
SN - 978-989-758-279-0
IS - 2184-4305
AU - Londral, A.
AU - Gómez Vilda, P.
AU - Gómez-Rodellar, A.
PY - 2018
SP - 269
EP - 275
DO - 10.5220/0006731302690275
PB - SciTePress