Signal Quality Consistency Analysis of Portable and Professional EEG Devices in Resting States

Consistent assessment of electroencephalogram (EEG) signal quality is essential to ensure data comparability between different devices. The aim of this study was to comparatively analyze the signal quality of two EEG devices, Xmuse and Enobio. Ten healthy subjects were recruited, and the EEG signals of the two devices were acquired synchronously in the resting state, and quantitatively evaluated from three aspects: frequency domain signal analysis, time domain signal analysis, and signal-to-noise ratio (SNR) analysis. Spectral analysis showed that the two devices had similar spectral patterns with consistent peaks, troughs and trend changes on the AF7 and AF8 electrodes, and were able to capture similar Alpha activity patterns. Relative band power correlation analysis and Bland-Altman analysis further confirmed the significant correlation between the two devices on the AF7 and AF8 electrodes. Time-domain analysis showed that the two devices exhibited a high level of agreement with small signal differences and stable fluctuations in the closed and open eye states. The signal-to-noise ratio (SNR) analysis showed that the SNR values of the two devices were relatively close to each other, and they were quite reliable in terms of signal quality. This study confirms that the signal quality of Xmuse and Enobio on AF7 and AF8 electrodes is highly consistent.

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Publication Details

Published
2025-05-23
DOI
https://doi.org/10.1109/eeiss65394.2025.11085856
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
0.00

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Signal Quality Consistency Analysis of Portable and Professional EEG Devices in Resting States

Xingen Gao, Chao Feng, Zhijie Zhang, Ling Li et al.
EEG and Brain-Computer Interfaces
article

Signal Quality Consistency Analysis of Portable and Professional EEG Devices in Resting States

Xingen Gao, Chao Feng, Zhijie Zhang, Ling Li, Jian-Cheng Chen, Jiangfeng Huang, Z. Zhong
article en

Abstract

Consistent assessment of electroencephalogram (EEG) signal quality is essential to ensure data comparability between different devices. The aim of this study was to comparatively analyze the signal quality of two EEG devices, Xmuse and Enobio. Ten healthy subjects were recruited, and the EEG signals of the two devices were acquired synchronously in the resting state, and quantitatively evaluated from three aspects: frequency domain signal analysis, time domain signal analysis, and signal-to-noise ratio (SNR) analysis. Spectral analysis showed that the two devices had similar spectral patterns with consistent peaks, troughs and trend changes on the AF7 and AF8 electrodes, and were able to capture similar Alpha activity patterns. Relative band power correlation analysis and Bland-Altman analysis further confirmed the significant correlation between the two devices on the AF7 and AF8 electrodes. Time-domain analysis showed that the two devices exhibited a high level of agreement with small signal differences and stable fluctuations in the closed and open eye states. The signal-to-noise ratio (SNR) analysis showed that the SNR values of the two devices were relatively close to each other, and they were quite reliable in terms of signal quality. This study confirms that the signal quality of Xmuse and Enobio on AF7 and AF8 electrodes is highly consistent.

Xiamen University (CN), Xiamen University of Technology (CN)
Xiamen University
Openalex Percentile: Top 82%
EEG and Brain-Computer Interfaces
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Signal Quality Consistency Analysis of Portable and Professional EEG Devices in Resting States — Xingen Gao, Chao Feng, et al. · (2025) | TGRS Research Map | TGRS