Classification of Parkinson's disease using speech signal with machine learning and deep learning approaches

S Rahman, M Hasan, AK Sarkar, F Khan - European Journal of Electrical …, 2023 - ejece.org
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 …

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 …

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 …

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 …

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 …

[PDF][PDF] Diagnosis of the parkinson disease by using deep neural network classifier

A Caliskan, H Badem, A Basturk… - IU-Journal of Electrical & …, 2017 - dergipark.org.tr
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 …

A nonlinear decision tree based classification approach to predict the Parkinson's disease using different feature sets of voice data

S Aich, K Younga, KL Hui, AA Al-Absi… - 2018 20th international …, 2018 - ieeexplore.ieee.org
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 …

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 …

An efficient machine learning approach for diagnosing parkinson's disease by utilizing voice features

A Rana, A Dumka, R Singh, M Rashid, N Ahmad… - Electronics, 2022 - mdpi.com
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 …

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 …