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Speech disorders in Parkinson's disease: early diagnostics and effects of medication and brain stimulation
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 …
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 …
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 …
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
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 …
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
Abstract Background and Objective In the scientific literature, there is a lack of variable
selection and classification methods considering replicated data. The problem motivating …
selection and classification methods considering replicated data. The problem motivating …
Combining voice and language features improves automated autism detection
Variability in expressive and receptive language, difficulty with pragmatic language, and
prosodic difficulties are all features of autism spectrum disorder (ASD). Quantifying language …
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 …
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
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 …
system of the human body gets affected. It is currently one of the leading causes of disability …
Quantifying voice characteristics for detecting autism
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 …
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 …
patients experience unintentional agitations and motor skills deterioration over time …