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A Mobile EEG System for Practical Applications

Abstract: 

In this study, we present a new 64-channel mobile EEG system (NeusenW, Neuracle Inc.), and compare it to a state-of-the-art wired laboratory EEG system and evaluate the EEG signal quality. Previous studies were only performed on seated participants in laboratory environments, and only a very limited number focus on motion conditions. In this study, we instead implemented experiments in standing, walking and running conditions. To preliminarily evaluate the EEG quality recorded by both EEG systems, we first compared the alpha wave (8-13 Hz) frequency band using a spectral analysis approach, due to the fact that, while a EEG user has their eyes closed, the alpha wave power is the strongest spontaneous EEG signals. Steady-state visually evoked potential (SSVEP)-based BCI spellers are one of the most popular BCI paradigms [4-5]. Here, SSVEP is a periodic response elicited by specific visual stimuli. In our approach, we further validated the mobile EEG system using a SSVEP-based BCI paradigm. Finally, to evaluate the EEG signal quality, the online and offline classification accuracies were compared.

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Paper Details

Authors:
Xiaoshan Huang, Erwei Yin, Yijun Wang, Rami Saab, Xiaorong Gao
Submitted On:
13 November 2017 - 4:08pm
Short Link:
Type:
Poster
Event:
Presenter's Name:
Rami Saab
Paper Code:
HCE-P.1.12 (1308)
Document Year:
2017
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[1] Xiaoshan Huang, Erwei Yin, Yijun Wang, Rami Saab, Xiaorong Gao, "A Mobile EEG System for Practical Applications", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/2341. Accessed: Nov. 23, 2017.
@article{2341-17,
url = {http://sigport.org/2341},
author = {Xiaoshan Huang; Erwei Yin; Yijun Wang; Rami Saab; Xiaorong Gao },
publisher = {IEEE SigPort},
title = {A Mobile EEG System for Practical Applications},
year = {2017} }
TY - EJOUR
T1 - A Mobile EEG System for Practical Applications
AU - Xiaoshan Huang; Erwei Yin; Yijun Wang; Rami Saab; Xiaorong Gao
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/2341
ER -
Xiaoshan Huang, Erwei Yin, Yijun Wang, Rami Saab, Xiaorong Gao. (2017). A Mobile EEG System for Practical Applications. IEEE SigPort. http://sigport.org/2341
Xiaoshan Huang, Erwei Yin, Yijun Wang, Rami Saab, Xiaorong Gao, 2017. A Mobile EEG System for Practical Applications. Available at: http://sigport.org/2341.
Xiaoshan Huang, Erwei Yin, Yijun Wang, Rami Saab, Xiaorong Gao. (2017). "A Mobile EEG System for Practical Applications." Web.
1. Xiaoshan Huang, Erwei Yin, Yijun Wang, Rami Saab, Xiaorong Gao. A Mobile EEG System for Practical Applications [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/2341