Machine Learning-based EEG Signal Classification of Parkinson’s Disease
Author:
Affiliation:
1. Xi’an Jiaotong-Liverpool University,Department of Computing,Suzhou,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10195194/10195273/10195448.pdf?arnumber=10195448
Reference22 articles.
1. Reliable sleep staging of unseen subjects with fusion of multiple EEG features and RUSBoost
2. Methods for artifact detection and removal from scalp EEG: A review
3. Multi-Feature Fusion with Convolutional Neural Network for Ship Classification in Optical Images
4. A convolutional-recurrent neural network approach to resting-state EEG classification in Parkinson’s disease
5. Peculiarities of L-DOPA treatment of Parkinson’s disease SpringerLink,2023
Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Multi-Scale Feature and Multi-Channel Selection toward Parkinson’s Disease Diagnosis with EEG;Sensors;2024-07-17
2. Modeling Parkinson’s Disease Aided Diagnosis with Multi-Instance Learning: An Effective Approach to Mitigate Label Noise;2023 IEEE 29th International Conference on Parallel and Distributed Systems (ICPADS);2023-12-17
3. Effective Severity Assessment of Parkinson’s Disease using Wearable Sensors in Free-living IoT Environment;2023 IEEE 29th International Conference on Parallel and Distributed Systems (ICPADS);2023-12-17
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