Voice for health: the use of vocal biomarkers from research to clinical practice
Diseases can affect organs such as the heart, lungs, brain, muscles, or vocal folds, which
can then alter an individual's voice. Therefore, voice analysis using artificial intelligence …
can then alter an individual's voice. Therefore, voice analysis using artificial intelligence …
Advances in Parkinson's disease detection and assessment using voice and speech: A review of the articulatory and phonatory aspects
L Moro-Velazquez, JA Gomez-Garcia… - … Signal Processing and …, 2021 - Elsevier
Parkinson's Disease (PD) affects speech in the form of dysphonia and hypokinetic
dysarthria. Multiple studies have evaluated PD's influence on different aspects of speech …
dysarthria. Multiple studies have evaluated PD's influence on different aspects of speech …
[HTML][HTML] Applied machine learning techniques to diagnose voice-affecting conditions and disorders: Systematic literature review
Background Normal voice production depends on the synchronized cooperation of multiple
physiological systems, which makes the voice sensitive to changes. Any systematic …
physiological systems, which makes the voice sensitive to changes. Any systematic …
[HTML][HTML] Machine learning in clinical trials: A primer with applications to neurology
MI Miller, LC Shih, VB Kolachalama - Neurotherapeutics, 2023 - Elsevier
We reviewed foundational concepts in artificial intelligence (AI) and machine learning (ML)
and discussed ways in which these methodologies may be employed to enhance progress …
and discussed ways in which these methodologies may be employed to enhance progress …
Cognitive determinants of dysarthria in Parkinson's disease: an automated machine learning approach
AM García, T Arias‐Vergara… - Movement …, 2021 - Wiley Online Library
ABSTRACT Background Dysarthric symptoms in Parkinson's disease (PD) vary greatly
across cohorts. Abundant research suggests that such heterogeneity could reflect subject …
across cohorts. Abundant research suggests that such heterogeneity could reflect subject …
The state of telemedicine for persons with Parkinson's disease
The availability of different telemedicine tools for remote consultation, monitoring, and
treatment is increasing. Future research should establish whether telemedicine improves …
treatment is increasing. Future research should establish whether telemedicine improves …
Automated methods for diagnosis of Parkinson's disease and predicting severity level
The recent advancements in information technology and bioinformatics have led to
exceptional contributions in medical sciences. Extensive developments have been recorded …
exceptional contributions in medical sciences. Extensive developments have been recorded …
X-vectors: new quantitative biomarkers for early Parkinson's disease detection from speech
L Jeancolas, D Petrovska-Delacrétaz… - Frontiers in …, 2021 - frontiersin.org
Many articles have used voice analysis to detect Parkinson's disease (PD), but few have
focused on the early stages of the disease and the gender effect. In this article, we have …
focused on the early stages of the disease and the gender effect. In this article, we have …
A hybrid U-lossian deep learning network for screening and evaluating Parkinson's disease
R Maskeliūnas, R Damaševičius, A Kulikajevas… - Applied sciences, 2022 - mdpi.com
Speech impairment analysis and processing technologies have evolved substantially in
recent years, and the use of voice as a biomarker has gained popularity. We have …
recent years, and the use of voice as a biomarker has gained popularity. We have …
Telemonitoring Parkinson's disease using machine learning by combining tremor and voice analysis
MSR Sajal, MT Ehsan, R Vaidyanathan, S Wang… - Brain informatics, 2020 - Springer
Background With the growing number of the aged population, the number of Parkinson's
disease (PD) affected people is also mounting. Unfortunately, due to insufficient resources …
disease (PD) affected people is also mounting. Unfortunately, due to insufficient resources …