An optimized RNN-LSTM approach for parkinson's disease early detection using speech features

HA Abd El Aal, SA Taie, N El-Bendary - Bulletin of Electrical Engineering …, 2021 - beei.org
Parkinson's disease (PD) is the second most common neurodegenerative disorder disease
right after Alzheimer's and the most common movement disorder for elderly people. It is …

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 …

[PDF][PDF] Parkinson's detection using RNN-graph-LSTM with optimization based on speech signals

AS Almasoud, TAE Eisa, FN Al-Wesabi… - Comput. Mater …, 2022 - researchgate.net
Early detection of Parkinson's Disease (PD) using the PD patients' voice changes would
avoid the intervention before the identification of physical symptoms. Various machine …

Cascaded deep learning frameworks in contribution to the detection of parkinson's disease

N Chintalapudi, G Battineni, MA Hossain, F Amenta - Bioengineering, 2022 - mdpi.com
Parkinson's disease (PD) is a progressive neurodegenerative disorder characterized by
motor impairment, as well as tremors, stiffness, and rigidity. Besides the typical motor …

Parkinson's disease detection using hybrid LSTM-GRU deep learning model

A Rehman, T Saba, M Mujahid, FS Alamri, N ElHakim - Electronics, 2023 - mdpi.com
Parkinson's disease is the second-most common cause of death and disability as well as the
most prevalent neurological disorder. In the last 15 years, the number of cases of PD has …

A deep learning based method for Parkinson's disease detection using dynamic features of speech

C Quan, K Ren, Z Luo - IEEE Access, 2021 - ieeexplore.ieee.org
Detection of voice changes in Parkinson's Disease (PD) patients would make it possible for
early detection and intervention before the onset of disabling physical symptoms. This study …

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 …

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 …

Feature mapping and deep long short term memory network-based efficient approach for Parkinson's disease diagnosis

F Demir, A Sengur, A Ari, K Siddique, M Alswaitti - IEEE Access, 2021 - ieeexplore.ieee.org
In this paper, a novel approach was developed for Parkinson's disease (PD) diagnosis
based on speech disorders. When the literature about the speech disorders-based PD …

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 …