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Development of an Integrated EEG/fNIRS Brain Function Monitoring System

In this study, a fully integrated electroencephalogram/functional near-infrared spectroscopy (EEG/fNIRS) brain monitoring system was designed to fulfill the demand for a miniaturized, light-weight, low-power-consumption, and low-cost brain monitoring system as a potential tool with which to screen f...

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Detalles Bibliográficos
Autores principales: Mohamed, Manal, Jo, Eunjung, Mohamed, Nourelhuda, Kim, Minhee, Yun, Jeong-dae, Kim, Jae Gwan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8625300/
https://www.ncbi.nlm.nih.gov/pubmed/34833775
http://dx.doi.org/10.3390/s21227703
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author Mohamed, Manal
Jo, Eunjung
Mohamed, Nourelhuda
Kim, Minhee
Yun, Jeong-dae
Kim, Jae Gwan
author_facet Mohamed, Manal
Jo, Eunjung
Mohamed, Nourelhuda
Kim, Minhee
Yun, Jeong-dae
Kim, Jae Gwan
author_sort Mohamed, Manal
collection PubMed
description In this study, a fully integrated electroencephalogram/functional near-infrared spectroscopy (EEG/fNIRS) brain monitoring system was designed to fulfill the demand for a miniaturized, light-weight, low-power-consumption, and low-cost brain monitoring system as a potential tool with which to screen for brain diseases. The system is based on the ADS1298IPAG Analog Front-End (AFE) and can simultaneously acquire two-channel EEG signals with a sampling rate of 250 SPS and six-channel fNIRS signals with a sampling rate of 8 SPS. AFE is controlled by Teensy 3.2 and powered by a lithium polymer battery connected to two protection circuits and regulators. The acquired EEG and fNIRS signals are monitored and stored using a Graphical User Interface (GUI). The system was evaluated by implementing several tests to verify its ability to simultaneously acquire EEG and fNIRS signals. The implemented system can acquire EEG and fNIRS signals with a CMRR of −115 dB, power consumption of 0.75 mW/ch, system weight of 70.5 g, probe weight of 3.1 g, and a total cost of USD 130. The results proved that this system can be qualified as a low-cost, light-weight, low-power-consumption, and fully integrated EEG/fNIRS brain monitoring system.
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spelling pubmed-86253002021-11-27 Development of an Integrated EEG/fNIRS Brain Function Monitoring System Mohamed, Manal Jo, Eunjung Mohamed, Nourelhuda Kim, Minhee Yun, Jeong-dae Kim, Jae Gwan Sensors (Basel) Article In this study, a fully integrated electroencephalogram/functional near-infrared spectroscopy (EEG/fNIRS) brain monitoring system was designed to fulfill the demand for a miniaturized, light-weight, low-power-consumption, and low-cost brain monitoring system as a potential tool with which to screen for brain diseases. The system is based on the ADS1298IPAG Analog Front-End (AFE) and can simultaneously acquire two-channel EEG signals with a sampling rate of 250 SPS and six-channel fNIRS signals with a sampling rate of 8 SPS. AFE is controlled by Teensy 3.2 and powered by a lithium polymer battery connected to two protection circuits and regulators. The acquired EEG and fNIRS signals are monitored and stored using a Graphical User Interface (GUI). The system was evaluated by implementing several tests to verify its ability to simultaneously acquire EEG and fNIRS signals. The implemented system can acquire EEG and fNIRS signals with a CMRR of −115 dB, power consumption of 0.75 mW/ch, system weight of 70.5 g, probe weight of 3.1 g, and a total cost of USD 130. The results proved that this system can be qualified as a low-cost, light-weight, low-power-consumption, and fully integrated EEG/fNIRS brain monitoring system. MDPI 2021-11-19 /pmc/articles/PMC8625300/ /pubmed/34833775 http://dx.doi.org/10.3390/s21227703 Text en © 2021 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
Mohamed, Manal
Jo, Eunjung
Mohamed, Nourelhuda
Kim, Minhee
Yun, Jeong-dae
Kim, Jae Gwan
Development of an Integrated EEG/fNIRS Brain Function Monitoring System
title Development of an Integrated EEG/fNIRS Brain Function Monitoring System
title_full Development of an Integrated EEG/fNIRS Brain Function Monitoring System
title_fullStr Development of an Integrated EEG/fNIRS Brain Function Monitoring System
title_full_unstemmed Development of an Integrated EEG/fNIRS Brain Function Monitoring System
title_short Development of an Integrated EEG/fNIRS Brain Function Monitoring System
title_sort development of an integrated eeg/fnirs brain function monitoring system
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8625300/
https://www.ncbi.nlm.nih.gov/pubmed/34833775
http://dx.doi.org/10.3390/s21227703
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