Voiceprint and machine learning models for early detection of bulbar dysfunction in ALS-Reference-Cited by-同舟云学术

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Voiceprint and machine learning models for early detection of bulbar dysfunction in ALS

Published:2023-02 Issue: Volume:229 Page:107309
ISSN:0169-2607
Container-title:Computer Methods and Programs in Biomedicine
language:en
Short-container-title:Computer Methods and Programs in Biomedicine

Author:

Tena Alberto^ORCID,Clarià Francesc^ORCID,Solsona Francesc^ORCID,Povedano Mónica

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications,Software

Reference25 articles.

1. Study of several parameters for the detection of amyotrophic lateral sclerosis from articulatory movement;Carmona-Duarte;Loquens,2017

2. The evaluation of bulbar dysfunction in amyotrophic lateral sclerosis: survey of clinical practice patterns in the United States;Plowman;Amyotroph. Lateral Scler. Frontotemporal Degener.,2017

3. Detection of amyotrophic lateral sclerosis (ALS) via acoustic analysis;Norel;bioRxiv,2018

4. Automatic early detection of amyotrophic lateral sclerosis from intelligible speech using convolutional neural networks;An,2018

5. Towards automatic detection of amyotrophic lateral sclerosis from speech acoustic and articulatory samples;Wang,2016

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1. Voice signals database of ALS patients with different dysarthria severity and healthy controls;Scientific Data;2024-07-19

2. Machine Learning in Biomaterials, Biomechanics/Mechanobiology, and Biofabrication: State of the Art and Perspective;Archives of Computational Methods in Engineering;2024-05-04

3. Harnessing Big Data in Amyotrophic Lateral Sclerosis: Machine Learning Applications for Clinical Practice and Pharmaceutical Trials;Journal of Integrative Neuroscience;2024-03-18

4. Precision medicine in ALS: Identification of new acoustic markers for dysarthria severity assessment;Biomedical Signal Processing and Control;2024-03

5. Acoustic Voice Analysis as a Useful Tool to Discriminate Different ALS Phenotypes;Biomedicines;2023-08-31

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