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[HTML][HTML] Survey of machine learning techniques in the analysis of EEG signals for Parkinson's disease: A systematic review
Background: Parkinson's disease (PD) affects 7–10 million people worldwide. Its diagnosis
is clinical and can be supported by image-based tests, which are expensive and not always …
is clinical and can be supported by image-based tests, which are expensive and not always …
[HTML][HTML] The role of neural network for the detection of Parkinson's disease: a sco** review
Background: Parkinson's Disease (PD) is a chronic neurodegenerative disorder that has
been ranked second after Alzheimer's disease worldwide. Early diagnosis of PD is crucial to …
been ranked second after Alzheimer's disease worldwide. Early diagnosis of PD is crucial to …
Diagnosis of Parkinson's Disease Using EEG Signals and Machine Learning Techniques: A Comprehensive Study
M Allahbakhshi, A Sadri, SO Shahdi - arxiv preprint arxiv:2405.00741, 2024 - arxiv.org
Parkinson's disease is a widespread neurodegenerative condition necessitating early
diagnosis for effective intervention. This paper introduces an innovative method for …
diagnosis for effective intervention. This paper introduces an innovative method for …
Screening of Mild Cognitive Impairment in Patients with Parkinson's Disease Using a Variational Mode Decomposition Based Deep-Learning
Parkinson's disease (PD) which is the second most common neurodegenerative disease in
the United States is challenging for specialists to diagnose and grade. Prior to the onset of …
the United States is challenging for specialists to diagnose and grade. Prior to the onset of …
Detection of Parkinson's disease through static and dynamic spiral test drawings: a transfer learning approach
ME Mital - 2021 13th International Conference on Information & …, 2021 - ieeexplore.ieee.org
Parkinson's Disease detection can be considered a relevant yet overlooked issue in the field
of research and medicine. Its effects are progressive in nature and worsens if not detected …
of research and medicine. Its effects are progressive in nature and worsens if not detected …
Detection of Parkinson's Disease from EEG Signals with EEMD Using Machine Learning and Deep Learning Techniques
NB Srikanth, SJ Priya… - 2024 2nd International …, 2024 - ieeexplore.ieee.org
Parkinson's Disease (PD) is a progressive neurodegenerative disorder characterized by
tremors, stiffness, and difficulty with movement, impacting mil-lions worldwide …
tremors, stiffness, and difficulty with movement, impacting mil-lions worldwide …
Predictive Analysis of Freezing of Gait Events in Parkinson's Disease Using Accelerometer Data and LGBM Modeling: A Precision-Centric Approach
R Doshi, H Gupta, P Walavalkar, D Vartak… - … on Communication and …, 2024 - Springer
The human body is prone to numerous neurological abnormalities that deteriorate
movement and coordination. One such condition is Parkinson's disease (PD), which …
movement and coordination. One such condition is Parkinson's disease (PD), which …
Predictive Analysis of Freezing of Gait Events in Parkinson's Disease Using
R Doshi, H Gupta, P Walavalkar, D Vartak - Proceedings of International … - books.google.com
The human body is prone to numerous neurological abnormalities that deteriorate
movement and coordination. One such condition is Parkinson's disease (PD), which …
movement and coordination. One such condition is Parkinson's disease (PD), which …