Proposing a new approach based on convolutional neural networks and random forest for the diagnosis of Parkinson's disease from speech signals

G Celik, E Başaran - Applied Acoustics, 2023 - Elsevier
Parkinson which occurs because of affected motor system by central nervous system is a
neurodegenerative disease which is often seen in community. This disease, which is …

Early detection of Parkinson's disease through speech features and machine learning: a review

AS Gullapalli, VK Mittal - ICT with Intelligent Applications: Proceedings of …, 2022 - Springer
Parkinson's Disease (PD) is a kind of neurodegenerative disorder. The disease causes
communication impairment based on its progression. In general, identification of PD carried …

Machine learning approaches to identify Parkinson's disease using voice signal features

R Alshammri, G Alharbi, E Alharbi… - Frontiers in artificial …, 2023 - frontiersin.org
Parkinson's Disease (PD) is the second most common age-related neurological disorder
that leads to a range of motor and cognitive symptoms. A PD diagnosis is difficult since its …

Improving Parkinson's disease recognition through voice analysis using deep learning

R Khaskhoussy, YB Ayed - Pattern Recognition Letters, 2023 - Elsevier
Parkinson's disease (PD) corresponds to one of the most common neurological diseases in
the world, which is mainly manifested by motor, cognitive, and language disorders. The …

A hybrid approach for Parkinson's disease diagnosis with resonance and time-frequency based features from speech signals

J Goyal, P Khandnor, TC Aseri - Expert Systems with Applications, 2021 - Elsevier
Parkinson's Disease (PD) is a progressive neurological disorder that affects the functioning
of the brain. As PD progresses, there arises a problem of maintaining coordination between …

Linear and non-linear speech features for detection of Parkinson's disease

M Shahbakhti, D Taherifar… - The 6th 2013 biomedical …, 2013 - ieeexplore.ieee.org
Parkinson's disease (PD) was described by James Parkinson first time and it is now
recognized as the second common neurological disorder after Alzheimer. Since most of the …

Enhancing Parkinson's disease diagnosis accuracy through speech signal algorithm modeling

OM El-Habbak, AM Abdelalim… - Computers …, 2022 - strathprints.strath.ac.uk
Parkinson's disease (PD), one of whose symptoms is dysphonia, is a prevalent
neurodegenerative disease. The use of outdated diagnosis techniques, which yield …

An unsupervised neural network feature selection and 1D convolution neural network classification for screening of parkinsonism

TS Mian - Diagnostics, 2022 - mdpi.com
Parkinson's disease (PD) is the second most common neurodegenerative disorder after
Alzheimer's disease. It has a slow progressing neurodegenerative disorder rate. PD patients …

Speech processing for early Parkinson's disease diagnosis: machine learning and deep learning-based approach

R Khaskhoussy, YB Ayed - Social Network Analysis and Mining, 2022 - Springer
Speech production disorders during Parkinson's Disease (PD) stand for one of the clinical
markers which are representative of the evolution of motor and cognitive disability …

Parkinson's disease classification from speech signal parameters using deep neural network

P Deepa, R Khilar - 2022 IEEE 4th International Conference on …, 2022 - ieeexplore.ieee.org
A variety of motor and cognitive symptoms are present in people with Parkinson's disease
(PD), a chronic degenerative condition. Since PD symptoms are quite similar to those of …