Exploring fNIRS-Based Brain State Recognition and Visualization through the use of Explainable Convolutional Neural Networks-Reference-Cited by-同舟云学术

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Exploring fNIRS-Based Brain State Recognition and Visualization through the use of Explainable Convolutional Neural Networks

Published:2023-07-24 Issue: Volume: Page:
ISSN:
Container-title:2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
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Author:

Chen Pin-Hua¹,Wei Chun-Shu²,Lan Chen-Chia³,Chen Nai-Feng⁴,Wang Li-Chun¹

Affiliation:

1. National Yang Ming Chiao Tung University,Department of Electrical and Computer Engineering,Hsinchu,Taiwan

2. National Yang Ming Chiao Tung University,Department of Computer Science,Hsinchu,Taiwan

3. Taichung Veterans General Hospital,Department of Psychiatry,Taichung,Taiwan

4. National Yang Ming Chiao Tung University,Brain Science and Technology Center,Hsinchu,Taiwan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10339936/10339939/10341196.pdf?arnumber=10341196

Reference16 articles.

1. A brief review on the history of human functional near-infrared spectroscopy (fNIRS) development and fields of application

2. Concurrent fNIRS and EEG for Brain Function Investigation: A Systematic, Methodology-Focused Review

3. The present and future use of functional near‐infrared spectroscopy (fNIRS) for cognitive neuroscience

4. State-dependent altered connectivity in late-life depression: a functional near-infrared spectroscopy study

5. Comparison of alterations in cerebral hemoglobin oxygenation in late life depression and Alzheimer’s disease as assessed by near-infrared spectroscopy

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