research-article

Portable neurological disease assessment using temporal analysis of speech

Authors:

Christian Poellabauer,

Tomás Collins,

Shane McQuillan, and

Patrick FlynnAuthors Info & Claims

BCB '15: Proceedings of the 6th ACM Conference on Bioinformatics, Computational Biology and Health Informatics

September 2015

Pages 77 - 85

https://doi.org/10.1145/2808719.2808727

Published: 09 September 2015 Publication History

Abstract

This paper discusses and evaluates the extraction and analysis of temporal acoustic features from speech using mobile devices to detect patterns which could be indicative of neurodegenarative diseases. Timing information in speech can play a critical role in future portable applications that help detect the presence of speech disorders, which are often indicators of a more serious underlying neurological condition. Speech data collected from a series of mobile administered speech tests at 47 high schools and colleges in the the Mid-western United States are analyzed for the specific case of mild traumatic brain injuries (mTBI). In this paper, we focus on both the system and test design used to collect and extract temporal metrics from the speech data, as well as the statistical analysis of this data to find patterns that are indicative of a concussion. Preliminary results suggest a correlation between certain temporal features and the likelihood of a concussion.

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Digital Library

Cited By

Fassetti FFassetti I(2022)Discriminating Pattern Mining for Diagnosing Reading DisordersApplied Sciences10.3390/app1215754012:15(7540)Online publication date: 27-Jul-2022
https://doi.org/10.3390/app12157540
Templeton JPoellabauer CSchneider S(2021)Design of a Mobile-Based Neurological Assessment Tool for Aging PopulationsWireless Mobile Communication and Healthcare10.1007/978-3-030-70569-5_11(166-185)Online publication date: 21-Feb-2021
https://doi.org/10.1007/978-3-030-70569-5_11

Index Terms

Portable neurological disease assessment using temporal analysis of speech

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cover image ACM Conferences

BCB '15: Proceedings of the 6th ACM Conference on Bioinformatics, Computational Biology and Health Informatics

September 2015

683 pages

ISBN:9781450338530

DOI:10.1145/2808719

Copyright © 2015 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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New York, NY, United States

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Published: 09 September 2015

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BCB '15: ACM International Conference on Bioinformatics, Computational Biology and Biomedicine

September 9 - 12, 2015

Georgia, Atlanta

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Cited By

Fassetti FFassetti I(2022)Discriminating Pattern Mining for Diagnosing Reading DisordersApplied Sciences10.3390/app1215754012:15(7540)Online publication date: 27-Jul-2022
https://doi.org/10.3390/app12157540
Templeton JPoellabauer CSchneider S(2021)Design of a Mobile-Based Neurological Assessment Tool for Aging PopulationsWireless Mobile Communication and Healthcare10.1007/978-3-030-70569-5_11(166-185)Online publication date: 21-Feb-2021
https://doi.org/10.1007/978-3-030-70569-5_11

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