Speech disorders in Parkinson's disease: early diagnostics and effects of medication and brain stimulation

L Brabenec, J Mekyska, Z Galaz, I Rektorova - Journal of neural …, 2017 - Springer
Hypokinetic dysarthria (HD) occurs in 90% of Parkinson's disease (PD) patients. It manifests
specifically in the areas of articulation, phonation, prosody, speech fluency, and faciokinesis …

Worldwide healthy adult voice baseline parameters: a comprehensive review

G Saggio, G Costantini - Journal of Voice, 2022 - Elsevier
The voice results in acoustic signals analyzed and synthetized at first for telecommunication
matters, and more recently investigated for medical purposes. In particular, voice signal …

Predicting severity of Parkinson's disease using deep learning

S Grover, S Bhartia, A Yadav, KR Seeja - Procedia computer science, 2018 - Elsevier
Parkinson's disease is a progressive and chronic neurodegenerative disorder. As the
dopamine-generating neurons in parts of the brain become damaged or die, people begin to …

Early diagnosis of Parkinson's disease: A combined method using deep learning and neuro-fuzzy techniques

M Nilashi, RA Abumalloh, SYM Yusuf, HH Thi… - … biology and chemistry, 2023 - Elsevier
Abstract Predicting Unified Parkinson's Disease Rating Scale (UPDRS) in Total-UPDRS and
Motor-UPDRS clinical scales is an important part of controlling PD. Computational …

A two-stage variable selection and classification approach for Parkinson's disease detection by using voice recording replications

L Naranjo, CJ Perez, J Martin… - Computer methods and …, 2017 - Elsevier
Abstract Background and Objective In the scientific literature, there is a lack of variable
selection and classification methods considering replicated data. The problem motivating …

Combining voice and language features improves automated autism detection

H MacFarlane, AC Salem, L Chen, M Asgari… - Autism …, 2022 - Wiley Online Library
Variability in expressive and receptive language, difficulty with pragmatic language, and
prosodic difficulties are all features of autism spectrum disorder (ASD). Quantifying language …

An MRI-based deep learning model to predict Parkinson's disease stages

A Mozhdehfarahbakhsh, S Chitsazian, P Chakrabarti… - medRxiv, 2021 - medrxiv.org
Parkinson's disease (PD) is amongst the relatively prevalent neurodegenerative disorders
with its course of progression classified as prodromal, stage1, 2, 3 and sever conditions …

Machine learning based automatic prediction of Parkinson's disease using speech features

D Jain, AK Mishra, SK Das - Proceedings of International Conference on …, 2021 - Springer
Parkinson's disease is a severe neurodegenerative disease where primarily the motor
system of the human body gets affected. It is currently one of the leading causes of disability …

Quantifying voice characteristics for detecting autism

M Asgari, L Chen, E Fombonne - Frontiers in Psychology, 2021 - frontiersin.org
The presence of prosodic anomalies in autistic is recognized by experienced clinicians but
their quantitative analysis is a cumbersome task beyond the scope of typical pen and pencil …

A modified kNN algorithm to detect Parkinson's disease

R Indu, SC Dimri, P Malik - … Modeling Analysis in Health Informatics and …, 2023 - Springer
Parkinson's disorder is the second most common neurodegenerative disease, where the
patients experience unintentional agitations and motor skills deterioration over time …