Parkinson's disease diagnosis based on multivariate deep features of speech signal

P Khojasteh, R Viswanathan… - 2018 IEEE life …, 2018 - ieeexplore.ieee.org
Parkinson's disease (PD) is known as neurodegenerative disorder causing speech
impairment in patients. Therefore, voice recording has been used as useful tool for …

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 …

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 …

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 …

Parkinson's disease identification using KNN and ANN Algorithms based on Voice Disorder

O Asmae, R Abdelhadi, C Bouchaib… - … Research in Applied …, 2020 - ieeexplore.ieee.org
In recent years, speech signal processing has benefited from a lot of attention, because of its
widespread application. In this study, we have led a comparative analysis for efficient …

Stacked auto-encoder based Time-frequency features of Speech signal for Parkinson disease prediction

B Karan, SS Sahu, K Mahto - 2020 International Conference on …, 2020 - ieeexplore.ieee.org
Proper classification between normal and Parkinson affected people is an important topic in
recent years. From the last two decades, the number of methods has been proposed for the …

Voice-Based Deep Learning Medical Diagnosis System for Parkinson's Disease Prediction

A Ouhmida, O Terrada, A Raihani… - 2021 International …, 2021 - ieeexplore.ieee.org
Nowadays, the biomedical signal processing area (MSP) is one of the most important
research fields. It is often applied in medical diagnosis and early detection of neurological …

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 …

Efficiency of voice features based on consonant for detection of Parkinson's disease

R Viswanathan, P Khojasteh… - 2018 IEEE life …, 2018 - ieeexplore.ieee.org
The objective of the study is to determine the efficiency of features extracted from sustained
voiced consonant/m/in the diagnosis of Parkinson's Disease (PD). The diagnostics …

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 …