Enhancing fNIRS Analysis Using EEG Rhythmic Signatures: An EEG-Informed fNIRS Analysis Study-Reference-Cited by-同舟云学术

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Enhancing fNIRS Analysis Using EEG Rhythmic Signatures: An EEG-Informed fNIRS Analysis Study

Published:2020-10 Issue:10 Volume:67 Page:2789-2797
ISSN:0018-9294
Container-title:IEEE Transactions on Biomedical Engineering
language:
Short-container-title:IEEE Trans. Biomed. Eng.

Author:

Li Rihui^ORCID,Zhao Chunli,Wang Chushan,Wang Jun,Zhang Yingchun^ORCID

Funder

University of Houston

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering

Link

http://xplorestaging.ieee.org/ielx7/10/9199588/08985187.pdf?arnumber=8985187

Cited by 26 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 Within-Subject Multimodal NIRS-EEG Classifier for Infant Data;Sensors;2024-06-26

2. Temporal Convolutional Network-Enhanced Real-Time Implicit Emotion Recognition with an Innovative Wearable fNIRS-EEG Dual-Modal System;Electronics;2024-03-31

3. Neurological evidence for the context-independent multisensorial semantics of ideophones in Pastaza Kichwa: an fNIRS study in the Ecuadorian Amazon;Language and Cognition;2024-01-15

4. Subject-Specific Modeling of EEG-fNIRS Neurovascular Coupling by Task-Related Tensor Decomposition;IEEE Transactions on Neural Systems and Rehabilitation Engineering;2024

5. Neurovascular Coupling Analysis Based on Multivariate Variational Gaussian Process Convergent Cross-Mapping;IEEE Transactions on Neural Systems and Rehabilitation Engineering;2024

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