4.6 Article

Development of an Integrated EEG/fNIRS Brain Function Monitoring System

Journal

SENSORS
Volume 21, Issue 22, Pages -

Publisher

MDPI
DOI: 10.3390/s21227703

Keywords

electroencephalogram; functional near-infrared spectroscopy; Analog Front-End; Brain Monitoring System

Funding

  1. Healthcare AI Convergence Research & Development Program through the National IT Industry Promotion Agency of Korea (NIPA) - Ministry of Science and ICT [S1601-20-1016]
  2. Brain Research Program, National Research Foundation of Korea [NRF-2016M3C7A1905475]
  3. Ministry of Public Safety & Security (MPSS), Republic of Korea [S1601-20-1016] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

Ask authors/readers for more resources

The study developed a fully integrated EEG/fNIRS brain monitoring system with low cost, lightweight, and low power consumption capabilities. The system can simultaneously acquire EEG and fNIRS signals and has been successfully tested to verify its performance in acquiring brain signals effectively.
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.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available