Predicting patients with Parkinson's disease using Machine Learning and ensemble voting technique
Parkinson's disease is the second most common neurological disorder that causes
significant physical disabilities, decreases the quality of life, and does not have a cure …
significant physical disabilities, decreases the quality of life, and does not have a cure …
Detection and classification of early stages of Parkinson's disease through wearable sensors and machine learning
A Shcherbak, E Kovalenko… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Parkinson's disease (PD) is a neurodegenerative disease which is among the most spread
and growing common neurodegenerative disorders. It significantly limits the physical and …
and growing common neurodegenerative disorders. It significantly limits the physical and …
Clinically informed automated assessment of finger tapping videos in Parkinson's disease
The utilization of Artificial Intelligence (AI) for assessing motor performance in Parkinson's
Disease (PD) offers substantial potential, particularly if the results can be integrated into …
Disease (PD) offers substantial potential, particularly if the results can be integrated into …
Fractal dimensions and machine learning for detection of Parkinson's disease in resting-state electroencephalography
Parkinson's disease (PD) is an incurable neurological disorder that degenerates the
cerebrospinal nervous system and hinders motor functions. Electroencephalography (EEG) …
cerebrospinal nervous system and hinders motor functions. Electroencephalography (EEG) …
LSTM-CNN: An efficient diagnostic network for Parkinson's disease utilizing dynamic handwriting analysis
X Wang, J Huang, M Chatzakou, K Medijainen… - Computer Methods and …, 2024 - Elsevier
Background and objectives: Dynamic handwriting analysis, due to its noninvasive and
readily accessible nature, has emerged as a vital adjunctive method for the early diagnosis …
readily accessible nature, has emerged as a vital adjunctive method for the early diagnosis …
A new online Arabic handwriting dataset for analyzing Parkinson's disease
Parkinson's disease (PD) is a common and progressive neurodegenerative disorder with
motor symptoms and a variety of non-motor symptoms. Experts regularly include handwriting …
motor symptoms and a variety of non-motor symptoms. Experts regularly include handwriting …
Handwriting identification and verification using artificial intelligence-assisted textural features
H Zhao, H Li - Scientific Reports, 2023 - nature.com
Intelligent process control and automation systems require verification authentication
through digital or handwritten signatures. Digital copies of handwritten signatures have …
through digital or handwritten signatures. Digital copies of handwritten signatures have …
书写认知老化发生机制及神经机理
刘月月， 何文广 - 心理科学进展, 2024 - journal.psych.ac.cn
书写是一种较为复杂的感知运动, 涉及中央认知编码和外周动作执行两个层面的加工,
需要消耗较多的认知资源, 因此, 很容易受到生理老化的影响. 基于书写作品的研究发现 …
需要消耗较多的认知资源, 因此, 很容易受到生理老化的影响. 基于书写作品的研究发现 …
End-to-end attention convolutional recurrent network for online handwritten Chinese text recognition
X Qu, Z Wu, J Huang - Multimedia Tools and Applications, 2024 - Springer
Online handwritten Chinese text recognition (OHCTR) has been a challenging problem due
to the large character set, diverse writing styles and variable text line length. The existing …
to the large character set, diverse writing styles and variable text line length. The existing …
Parkinson's disease diagnosis from T1 and T2 weighted magnetic resonance images using FBLstmNet architecture
Parkinson's is a dreadful neurodegenerative disorder disease which affects people over the
age of 40 around the world. To reduce the risk factors of Parkinson's, early diagnosis is …
age of 40 around the world. To reduce the risk factors of Parkinson's, early diagnosis is …