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

Ana Londral, Ana Londral, Pedro Gómez Vilda, Andrés Gómez-Rodellar

2018

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.

Paper Citation

in Harvard Style

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) - Volume 4: BIOSIGNALS; ISBN 978-989-758-279-0, SciTePress, pages 269-275. DOI: 10.5220/0006731302690275

in Bibtex Style

@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) - Volume 4: BIOSIGNALS},
year={2018},
pages={269-275},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006731302690275},
isbn={978-989-758-279-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018) - Volume 4: 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
AU - Londral A.
AU - Gómez Vilda P.
AU - Gómez-Rodellar A.
PY - 2018
SP - 269
EP - 275
DO - 10.5220/0006731302690275
PB - SciTePress