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 …
early detection and intervention before the onset of disabling physical symptoms. This study …
Parkinson's disease detection based on features refinement through L1 regularized SVM and deep neural network
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 …
Parkinson's disease (PD) detection. However, two main problems in these studies are lower …
End-to-end deep learning approach for Parkinson's disease detection from speech signals
C Quan, K Ren, Z Luo, Z Chen, Y Ling - Biocybernetics and Biomedical …, 2022 - Elsevier
More than 90% of patients with Parkinson's disease suffer from hypokinetic dysarthria. This
paper proposes a novel end-to-end deep learning model for Parkinson's disease detection …
paper proposes a novel end-to-end deep learning model for Parkinson's disease detection …
A hybrid approach for Parkinson's disease diagnosis with resonance and time-frequency based features from speech signals
J Goyal, P Khandnor, TC Aseri - Expert Systems with Applications, 2021 - Elsevier
Parkinson's Disease (PD) is a progressive neurological disorder that affects the functioning
of the brain. As PD progresses, there arises a problem of maintaining coordination between …
of the brain. As PD progresses, there arises a problem of maintaining coordination between …
Vocal feature guided detection of parkinson's disease using machine learning algorithms
Parkinson's disease (PD) is a progressive neurodegenerative disorder that primarily affects
the motor neurons of the brain and causes tremors, stiffness, and difficulty walking …
the motor neurons of the brain and causes tremors, stiffness, and difficulty walking …
A novel sample and feature dependent ensemble approach for Parkinson's disease detection
Parkinson's disease (PD) is a neurological disease that has been reported to have affected
most people worldwide. Recent research pointed out that about 90% of PD patients possess …
most people worldwide. Recent research pointed out that about 90% of PD patients possess …
Hybrid CNN-LSTM model with efficient hyperparameter tuning for prediction of Parkinson's disease
The patients' vocal Parkinson's disease (PD) changes could be identified early on, allowing
for management before physically incapacitating symptoms appear. In this work, static as …
for management before physically incapacitating symptoms appear. In this work, static as …
Deep learning-based Parkinson's disease classification using vocal feature sets
H Gunduz - Ieee access, 2019 - ieeexplore.ieee.org
Parkinson's Disease (PD) is a progressive neurodegenerative disease with multiple motor
and non-motor characteristics. PD patients commonly face vocal impairments during the …
and non-motor characteristics. PD patients commonly face vocal impairments during the …
Vocal feature extraction-based artificial intelligent model for Parkinson's disease detection
As a neurodegenerative disorder, Parkinson's disease (PD) affects the nerve cells of the
human brain. Early detection and treatment can help to relieve the symptoms of PD. Recent …
human brain. Early detection and treatment can help to relieve the symptoms of PD. Recent …
Robust automated Parkinson disease detection based on voice signals with transfer learning
Parkinson's disease (PD) is a progressive-neurodegenerative disorder that affects more
than 6 million people around the world. However, conventional techniques for PD detection …
than 6 million people around the world. However, conventional techniques for PD detection …