Automated detection of Parkinson's disease based on multiple types of sustained phonations using linear discriminant analysis and genetically optimized neural …

L Ali, C Zhu, Z Zhang, Y Liu - IEEE journal of translational …, 2019 - ieeexplore.ieee.org
Objective: Parkinson's disease (PD) is a serious neurodegenerative disorder. It is reported
that most of PD patients have voice impairments. But these voice impairments are not …

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 …

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 …

PDD-ET: Parkinson's Disease Detection Using ML Ensemble Techniques and Customized Big Dataset

K Chatterjee, RP Kumar, A Bandyopadhyay, S Swain… - Information, 2023 - mdpi.com
Parkinson's disease (PD) is a neurological disorder affecting the nerve cells. PD gives rise to
various neurological conditions, including gradual reduction in movement speed, tremors …

Recognition of parkinson's disease based on residual neural network and voice diagnosis

F Huang, H Xu, T Shen, L Jin - 2021 IEEE 5th Information …, 2021 - ieeexplore.ieee.org
In order to reduce the clinical diagnosis of Parkinson's disease on the scale and wearable
equipment and doctors' clinical experience of excessive dependence, provide new ideas for …

Layer recurrent neural network-based diagnosis of Parkinson's disease using voice features

ZK Senturk - Biomedical Engineering/Biomedizinische Technik, 2022 - degruyter.com
Abstract Parkinson's disease (PD), a slow-progressing neurological disease, affects a large
percentage of the world's elderly population, and this population is expected to grow over …

Performance evaluation of RNN with hyperbolic secant in gate structure through application of Parkinson's disease detection

T Fujita, Z Luo, C Quan, K Mori, S Cao - Applied Sciences, 2021 - mdpi.com
This paper studies a novel recurrent neural network (RNN) with hyperbolic secant (sech) in
the gate for a specific medical application task of Parkinson's disease (PD) detection. In …

Parkinson's detection based on combined CNN and LSTM using enhanced speech signals with variational mode decomposition

MB Er, E Isik, I Isik - Biomedical Signal Processing and Control, 2021 - Elsevier
Parkinson's disease (PD) can cause many non-motor and motor symptoms such as speech
and smell. One of the difficulties that Parkinson's patients can experience is a change in …

Parkinson's disease detection based on features refinement through L1 regularized SVM and deep neural network

L Ali, A Javeed, A Noor, HT Rauf, S Kadry… - Scientific Reports, 2024 - nature.com
In previous studies, replicated and multiple types of speech data have been used for
Parkinson's disease (PD) detection. However, two main problems in these studies are lower …

Ensemble Machine Learning Approach for Parkinson's Disease Detection Using Speech Signals

SNH Bukhari, KA Ogudo - Mathematics, 2024 - mdpi.com
The detection of Parkinson's disease (PD) is vital as it affects the population worldwide and
decreases the quality of life. The disability and death rate due to PD is increasing at an …