Classification of Parkinson's disease using speech signal with machine learning and deep learning approaches
Parkinson's disease (PD) is a chronic neurological condition that is growing in prevalence
and manifests both motor and non-motor symptoms. Most PD patients have trouble …
and manifests both motor and non-motor symptoms. Most PD patients have trouble …
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 …
(PD), a chronic degenerative condition. Since PD symptoms are quite similar to those of …
Classification of Parkinson's disease using speech attributes with parametric and nonparametric machine learning techniques
S Sharanyaa, PN Renjith… - 2020 3rd international …, 2020 - ieeexplore.ieee.org
Parkinson's disease is a neurological disorder that affects the central nervous system which
results in improper functioning of body movements including difficulty in speaking, walking …
results in improper functioning of body movements including difficulty in speaking, walking …
Diagnosis of Parkinson's disease using principle component analysis and deep learning
S Kaur, H Aggarwal, R Rani - Journal of Medical Imaging and …, 2019 - ingentaconnect.com
Parkinson's disease is a common disease which affects the people during the age group of
50's and above. The disease of Parkinson's is the result of damage to the cells which …
50's and above. The disease of Parkinson's is the result of damage to the cells which …
A machine learning system for the diagnosis of Parkinson's disease from speech signals and its application to multiple speech signal types
İ Cantürk, F Karabiber - Arabian Journal for Science and Engineering, 2016 - Springer
Parkinson's disease (PD) is a neurodegenerative disorder that negatively affects millions of
people. PD is usually diagnosed by a series of empirical tests and sometimes by invasive …
people. PD is usually diagnosed by a series of empirical tests and sometimes by invasive …
[PDF][PDF] Diagnosis of the parkinson disease by using deep neural network classifier
Parkinson disease occurs when certain clusters of brain cells are unable to generate
dopamine which is needed to regulate the number of the motor and non-motor activity of the …
dopamine which is needed to regulate the number of the motor and non-motor activity of the …
A nonlinear decision tree based classification approach to predict the Parkinson's disease using different feature sets of voice data
In the past few years, lot of researchers are working to get some breakthrough for early
detection of Parkinson's disease. As the old age population is increasing at a higher rate as …
detection of Parkinson's disease. As the old age population is increasing at a higher rate as …
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 …
the world, which is mainly manifested by motor, cognitive, and language disorders. The …
An efficient machine learning approach for diagnosing parkinson's disease by utilizing voice features
Parkinson's disease (PD) is a neurodegenerative disease that impacts the neural,
physiological, and behavioral systems of the brain, in which mild variations in the initial …
physiological, and behavioral systems of the brain, in which mild variations in the initial …
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 …
that leads to a range of motor and cognitive symptoms. A PD diagnosis is difficult since its …
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