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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8914983/ https://www.ncbi.nlm.nih.gov/pubmed/35271044 http://dx.doi.org/10.3390/s22051898 |
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author | Gao, Zhilin Cui, Xingran Wan, Wang Qin, Zeguang Gu, Zhongze |
author_facet | Gao, Zhilin Cui, Xingran Wan, Wang Qin, Zeguang Gu, Zhongze |
author_sort | Gao, Zhilin |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-8914983 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-89149832022-03-12 Signal Quality Investigation of a New Wearable Frontal Lobe EEG Device Gao, Zhilin Cui, Xingran Wan, Wang Qin, Zeguang Gu, Zhongze Sensors (Basel) Article 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. MDPI 2022-02-28 /pmc/articles/PMC8914983/ /pubmed/35271044 http://dx.doi.org/10.3390/s22051898 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Gao, Zhilin Cui, Xingran Wan, Wang Qin, Zeguang Gu, Zhongze Signal Quality Investigation of a New Wearable Frontal Lobe EEG Device |
title | Signal Quality Investigation of a New Wearable Frontal Lobe EEG Device |
title_full | Signal Quality Investigation of a New Wearable Frontal Lobe EEG Device |
title_fullStr | Signal Quality Investigation of a New Wearable Frontal Lobe EEG Device |
title_full_unstemmed | Signal Quality Investigation of a New Wearable Frontal Lobe EEG Device |
title_short | Signal Quality Investigation of a New Wearable Frontal Lobe EEG Device |
title_sort | signal quality investigation of a new wearable frontal lobe eeg device |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8914983/ https://www.ncbi.nlm.nih.gov/pubmed/35271044 http://dx.doi.org/10.3390/s22051898 |
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