Pain Assessment based on fNIRS using Bi-LSTM RNNs
Author:
Publisher
IEEE
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http://xplorestaging.ieee.org/ielx7/9441025/9441064/09441384.pdf?arnumber=9441384
Cited by 14 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. Explainable fNIRS Based Pain Decoding Under Pharmacological Conditions via Deep Transfer Learning Approach;2023-11-16
2. Hierarchical Classification Strategy for Mitigating the Impact of The Presence of Pain in fNIRS-based BCIs;2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC);2023-07-24
3. Multimodal physiological sensing for the assessment of acute pain;Frontiers in Pain Research;2023-06-19
4. Arabic spam tweets classification using deep learning;Neural Computing and Applications;2023-04-29
5. A systematic review of neurophysiological sensing for the assessment of acute pain;npj Digital Medicine;2023-04-26
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