Evaluating Performance of EEG Data-Driven Machine Learning for Traumatic Brain Injury Classification-Reference-Cited by-同舟云学术

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Evaluating Performance of EEG Data-Driven Machine Learning for Traumatic Brain Injury Classification

Published:2021-11 Issue:11 Volume:68 Page:3205-3216
ISSN:0018-9294
Container-title:IEEE Transactions on Biomedical Engineering
language:
Short-container-title:IEEE Trans. Biomed. Eng.

Author:

Vivaldi Nicolas,Caiola Michael^ORCID,Solarana Krystyna,Ye Meijun^ORCID

Funder

Office of Science and Engineering Laboratories

Center for Devices and Radiological Health

Food and Drug Administration

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering

Link

http://xplorestaging.ieee.org/ielx7/10/9580687/09364756.pdf?arnumber=9364756

Cited by 27 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. A Machine Learning Approach to Classifying EEG Data Collected with or without Haptic Feedback during a Simulated Drilling Task;Brain Sciences;2024-08-31

2. Reaching the ceiling? Empirical scaling behaviour for deep EEG pathology classification;Computers in Biology and Medicine;2024-08

3. Applications of Artificial Intelligence in Military Medicine and Surgery;Artificial Intelligence;2024-07-16

4. Recognition of regions of stroke injury using multi-modal frequency features of electroencephalogram;Frontiers in Neuroscience;2024-06-10

5. Differentiating ischemic stroke patients from healthy subjects using a large-scale, retrospective EEG database and machine learning methods;Journal of Stroke and Cerebrovascular Diseases;2024-06

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