Minhee Kim

Ms. Minhee Kim

orcid

Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
19 November 2021 in Sensors
Verified
Journal Article
Open access
PDF file
MMManal Mohamed
Manal Mohamed
EJEunjung Jo
Eunjung Jo
NMNourelhuda Mohamed
Nourelhuda Mohamed
MKMinhee Kim
Minhee Kim
JYJeong-Dae Yun
Jeong-Dae Yun
Jae Gwan KimJae Gwan Kim
Jae Gwan Kim
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.

9 August 2023 in Biomedical Engineering Letters
Verified
Journal Article
Closed access
PDF file
MKMinhee Kim
Minhee Kim
SJSehyeon Jang
Sehyeon Jang
DLDonjung Lee
Donjung Lee
SLSeungchan Lee
Seungchan Lee
JGJeonghwan Gwak
Jeonghwan Gwak
Jae Gwan KimJae Gwan Kim
Jae Gwan Kim