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Signal Quality Investigation of a New Wearable Frontal Lobe EEG Device

The demand for non-laboratory and long-term EEG acquisition in scientific and clinical applications has put forward new requirements for wearable EEG devices. In this paper, a new wearable frontal EEG device called Mindeep was proposed. A signal quality study was then conducted, which included simul...

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Published in:Sensors (Basel, Switzerland) Switzerland), 2022-02, Vol.22 (5), p.1898
Main Authors: Gao, Zhilin, Cui, Xingran, Wan, Wang, Qin, Zeguang, Gu, Zhongze
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Cui, Xingran
Wan, Wang
Qin, Zeguang
Gu, Zhongze
description The demand for non-laboratory and long-term EEG acquisition in scientific and clinical applications has put forward new requirements for wearable EEG devices. In this paper, a new wearable frontal EEG device called Mindeep was proposed. A signal quality study was then conducted, which included simulated signal tests and signal quality comparison experiments. Simulated signals with different frequencies and amplitudes were used to test the stability of Mindeep’s circuit, and the high correlation coefficients (>0.9) proved that Mindeep has a stable and reliable hardware circuit. The signal quality comparison experiment, between Mindeep and the gold standard device, Neuroscan, included three tasks: (1) resting; (2) auditory oddball; and (3) attention. In the resting state, the average normalized cross-correlation coefficients between EEG signals recorded by the two devices was around 0.72 ± 0.02, Berger effect was observed (p < 0.01), and the comparison results in the time and frequency domain illustrated the ability of Mindeep to record high-quality EEG signals. The significant differences between high tone and low tone in auditory event-related potential collected by Mindeep was observed in N2 and P2. The attention recognition accuracy of Mindeep achieved 71.12% and 74.76% based on EEG features and the XGBoost model in the two attention tasks, respectively, which were higher than that of Neuroscan (70.19% and 72.80%). The results validated the performance of Mindeep as a prefrontal EEG recording device, which has a wide range of potential applications in audiology, cognitive neuroscience, and daily requirements.
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subjects Accuracy
Analysis
attention
Audiology
Auditory tasks
Brain
Brain research
Correlation coefficients
Cross correlation
EEG
Electrodes
Electroencephalography
Electroencephalography - methods
Emotions
Epilepsy
ERP
Evoked Potentials
Experiments
Frontal Lobe
Investigations
Laboratories
Machine learning
Monitoring systems
Recognition, Psychology
Research methodology
rest
Signal processing
Signal quality
Sleep
wearable
Wearable computers
Wearable Electronic Devices
Wearable technology
title Signal Quality Investigation of a New Wearable Frontal Lobe EEG Device
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