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Article

Development of an Integrated EEG/fNIRS Brain Function Monitoring System

1
Biomedical Science and Engineering Department, Gwangju Institute of Science and Technology, Gwangju 61005, Korea
2
N.CER Co., Ltd., Gwangju 61005, Korea
*
Author to whom correspondence should be addressed.
Academic Editor: George Oguntala
Sensors 2021, 21(22), 7703; https://doi.org/10.3390/s21227703
Received: 31 August 2021 / Revised: 10 November 2021 / Accepted: 15 November 2021 / Published: 19 November 2021
(This article belongs to the Special Issue Sensors and IoT in Modern Healthcare Delivery and Applications)
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. View Full-Text
Keywords: electroencephalogram; functional near-infrared spectroscopy; Analog Front-End; Brain Monitoring System electroencephalogram; functional near-infrared spectroscopy; Analog Front-End; Brain Monitoring System
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MDPI and ACS Style

Mohamed, M.; Jo, E.; Mohamed, N.; Kim, M.; Yun, J.-d.; Kim, J.G. Development of an Integrated EEG/fNIRS Brain Function Monitoring System. Sensors 2021, 21, 7703. https://doi.org/10.3390/s21227703

AMA Style

Mohamed M, Jo E, Mohamed N, Kim M, Yun J-d, Kim JG. Development of an Integrated EEG/fNIRS Brain Function Monitoring System. Sensors. 2021; 21(22):7703. https://doi.org/10.3390/s21227703

Chicago/Turabian Style

Mohamed, Manal, Eunjung Jo, Nourelhuda Mohamed, Minhee Kim, Jeong-dae Yun, and Jae Gwan Kim. 2021. "Development of an Integrated EEG/fNIRS Brain Function Monitoring System" Sensors 21, no. 22: 7703. https://doi.org/10.3390/s21227703

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