Disease Delineation for Multiple Sclerosis, Friedreich Ataxia, and Healthy Controls Using Supervised Machine Learning on Speech Acoustics-Reference-Cited by-同舟云学术

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Disease Delineation for Multiple Sclerosis, Friedreich Ataxia, and Healthy Controls Using Supervised Machine Learning on Speech Acoustics

Published:2023 Issue: Volume:31 Page:4278-4285
ISSN:1534-4320
Container-title:IEEE Transactions on Neural Systems and Rehabilitation Engineering
language:
Short-container-title:IEEE Trans. Neural Syst. Rehabil. Eng.

Author:

Schultz Benjamin G.¹^ORCID,Joukhadar Zaher²^ORCID,Nattala Usha²^ORCID,Quiroga Maria del Mar²^ORCID,Noffs Gustavo¹,Rojas Sandra¹^ORCID,Reece Hannah¹,Van Der Walt Anneke³,Vogel Adam P.¹^ORCID

Affiliation:

1. Department of Audiology and Speech Pathology, The University of Melbourne, Carlton, VIC, Australia

2. Melbourne Data Analytics Platform, The University of Melbourne, Carlton, VIC, Australia

3. Bruce Lefroy Centre, Murdoch Children’s Research Institute, The Royal Children’s Hospital Melbourne, Parkville, VIC, Australia

Funder

Melbourne Data Analytics Platform (MDAP) at The University of Melbourne

National Health and Medical Research Council

NHMRC Fellowship

Australian Research Council Future Fellowship

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering,General Neuroscience,Internal Medicine,Rehabilitation

Link

http://xplorestaging.ieee.org/ielx7/7333/10031624/10271378.pdf?arnumber=10271378

Reference74 articles.

1. Delayed identification and diagnosis of Huntington’s disease due to psychiatric symptoms

2. Assessing voice health using smartphones: bias and random error of acoustic voice parameters captured by different smartphone types

3. Spectral measures of the effects of Friedreich's ataxia on speech

4. Acoustic analysis of the effects of sustained wakefulness on speech

5. A Tutorial Review on Clinical Acoustic Markers in Speech Science

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1. IMNMAGN: Integrative Multimodal Approach for Enhanced Detection of Neurodegenerative Diseases Using Fusion of Multidomain Analysis With Graph Networks;IEEE Access;2024

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