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6 May 2024 The energy percentage variations of EEG different frequency bands under +Gz acceleration
Yifeng Li, Lihui Zhang, Baohui Li, Zhao Jin, Xiaoyang Wei, Xichen Geng, Haixia Wang, Ke Jiang, Yan Xu, Minghao Yang, Yi Wang, Hong Wang, Jinghui Yang
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Proceedings Volume 13107, Fourth International Conference on Sensors and Information Technology (ICSI 2024); 1310716 (2024) https://doi.org/10.1117/12.3029132
Event: Fourth International Conference on Sensors and Information Technology (ICSI 2024), 2024, Xiamen, China
Abstract
In this paper, the necessity of the study on EEG variation features under +Gz acceleration is first proposed. Then a test is carried out on a new model of human centrifuge, and the parameter, energy percentage change of each frequency band of EEG signal under +Gz acceleration is analyzed on account of the method of periodogram parameters to study the change features of EEG under +Gz acceleration. At the same time, the feasibility and use of the value of monitoring and warning G-LOC by using the energy percentages change-this parameter are made analyzed and evaluated.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Yifeng Li, Lihui Zhang, Baohui Li, Zhao Jin, Xiaoyang Wei, Xichen Geng, Haixia Wang, Ke Jiang, Yan Xu, Minghao Yang, Yi Wang, Hong Wang, and Jinghui Yang "The energy percentage variations of EEG different frequency bands under +Gz acceleration", Proc. SPIE 13107, Fourth International Conference on Sensors and Information Technology (ICSI 2024), 1310716 (6 May 2024); https://doi.org/10.1117/12.3029132
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KEYWORDS
Electroencephalography
Ear
Lead
Pulse signals
Brain
Electrodes
Feature extraction
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