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 …

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 …

Deep Learning-based model for the detection of Parkinson's disease using voice data

WA Mir, I Nissar, DR Rizvi, S Masood… - … Trends and Pattern …, 2022 - ieeexplore.ieee.org
The advancements in deep learning and their applications in the field of health diagnosis
have been very encouraging, therefore providing a better way for healthcare and also in the …

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 …

[HTML][HTML] Speech analysis for diagnosis of Parkinson's disease using genetic algorithm and support vector machine

M Shahbakhi, DT Far, E Tahami - Journal of biomedical science and …, 2014 - scirp.org
Parkinson's disease (PD) is the most common disease of motor system degeneration that
occurs when the dopamine-producing cells are damaged in substantia nigra. To detect PD …

[PDF][PDF] An LSTM based Deep learning model for voice-based detection of Parkinson's disease

DR Rizvi, I Nissar, S Masood, M Ahmed… - Int. J. Adv. Sci …, 2020 - academia.edu
Abstract Parkinson's disease (PD), a chronic neuropathological disorder, occurs when
certain brain cell clusters are not apt to engender dopamine. As a result, people feel difficulty …

An exploration on feature extraction and classification techniques for dysphonic speech disorder in Parkinson's Disease

S Sharanyaa, PN Renjith, K Ramesh - Inventive Communication and …, 2022 - Springer
Parkinson's disease is a neurodegenerative disorder, and it is a progressive disease that
affects the human lifestyle. The survey described here paves the way to understand how the …

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 …

[PDF][PDF] A novel approach for Parkinson's disease detection based on voice classification and features selection techniques

A Ouhmida, A Raihani, B Cherradi, O Terrada - Int. J. Onl. Eng., 2021 - academia.edu
Parkinson's disease (PD) is one of the most widespread diseases that, primarily, affects the
motor system of the neural central system. In fact, PD is characterized by tremors, stiffness of …

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 …