Virtual Gradiometer-Based Noise Reduction Method for Wearable Magnetoencephalography-Reference-Cited by-同舟云学术

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Virtual Gradiometer-Based Noise Reduction Method for Wearable Magnetoencephalography

Published:2022-09-23 Issue: Volume: Page:
ISSN:
Container-title:2022 2nd International Conference on Computer Science, Electronic Information Engineering and Intelligent Control Technology (CEI)
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Author:

Xu Jia-yu¹,Chen Chun-qiao¹,Zhang Xin²,Fu Fang-yue¹,Yang Xiao-dong¹,Hu Tao²,Chang Yan¹

Affiliation:

1. Changchun University of Science and Technology,Changchun,China,130022

2. Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences,Suzhou,China,215163

Funder

Natural Science Foundation of Jiangsu Province

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9950049/9948458/09950167.pdf?arnumber=9950167

Reference26 articles.

1. Moving magnetoencephalography towards real-world applications with a wearable system

2. Data‐driven model optimization for optically pumped magnetometer sensor arrays

3. Comparison of beamformer implementations for MEG source localization

4. A microfabricated optically-pumped magnetic gradiometer

5. Four-channel optically pumped atomic magnetometer for magnetoencephalography

Cited by 1 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. Recent Developments in Fabrication Methods and Measurement Schemes for Optically Pumped Magnetic Gradiometers: A Comprehensive Review;Micromachines;2023-12-27

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