Evidence map›Paper›PMID 34833775›Full record

ArticleSensors (Basel, Switzerland)2021

Development of an Integrated EEG/fNIRS Brain Function Monitoring System.

Manal Mohamed, Eunjung Jo, Nourelhuda Mohamed, Minhee Kim, Jeong-Dae Yun, Jae Gwan Kim

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.9field-weighted citation impact, top 27% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 14 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Manal MohamedBiomedical Science and Engineering Department, Gwangju Institute of Science and Technology, Gwangju 61005, Korea.ORCID 0000-0003-4019-0593
Eunjung JoBiomedical Science and Engineering Department, Gwangju Institute of Science and Technology, Gwangju 61005, Korea.ORCID 0000-0001-6010-6817
Nourelhuda MohamedBiomedical Science and Engineering Department, Gwangju Institute of Science and Technology, Gwangju 61005, Korea.ORCID 0000-0002-5347-0394
Minhee KimBiomedical Science and Engineering Department, Gwangju Institute of Science and Technology, Gwangju 61005, Korea.ORCID 0000-0001-8468-5470
Jeong-Dae YunN.CER Co., Ltd., Gwangju 61005, Korea.
Jae Gwan KimBiomedical Science and Engineering Department, Gwangju Institute of Science and Technology, Gwangju 61005, Korea.ORCID 0000-0002-1010-7712
Gwangju Institute of Science and Technology · KR

Funding

Brain Research Program, National Research Foundation of Korea NRF-2016M3C7A1905475This research was supported by Healthcare AI Convergence Research & Development Program through the National IT Industry Promotion Agency of Korea (NIPA) funded by the Ministry of Science and ICT s1610-20-1016
6 · The paper itself

Abstract

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.

Indexed as

ElectroencephalographySpectroscopy, Near-InfraredBrainElectrocardiographyMonitoring, PhysiologicAnalog Front-EndBrain Monitoring Systemelectroencephalogramfunctional near-infrared spectroscopy

Identifiers

PMID34833775
PMCPMC8625300
OpenAlexW3215779376

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.