휴대용 수면 패턴 모니터링을 위한 복합 fNIRS-EEG 시스템 개발

• Published in: Journal of biomedical engineering research Vol. 44; no. 6; pp. 392 - 403
• Main Authors: 김경한, 우성우, 하성훈, 박금룡, 사커 엠디 샤힌, 박배정, 김창세, Gyoung-Hahn Kim, Seong-Woo Woo, Sung Hun Ha, Jinlong Piao, MD Sahin Sarker, Baejeong Park, Chang-Sei Kim
• Format: Journal Article
• Language: Korean
• Published: 대한의용생체공학회 01.12.2023
• Subjects: 의공학; Brain-computer interface; Sleep stage classification; Electroencephalogram; Functional near-infrared spectroscopy
• ISSN: 1229-0807; 2288-9396

This study presents a new hybrid fNIRS-EEG system to meet the demand for a lightweight and low-cost sleep pattern monitoring device. For multiple-channel configuration, a six-channel electroencephalogram (EEG) and a functional near-infrared spectroscopy (fNIRS) system with eight photodiodes (PD) and four dual-wavelength LEDs are designed. To enhance the convenience of signal measurement, the device is miniaturized into a patch-like form, enabling simultaneous measurement on the forehead. Due to its fully integrated functionality, the developed system is advantageous for performing sleep stage classification with high-temporal and spatial resolution data. This can be realized by utilizing a two-dimensional (2D) brain activation map based on the concentration changes in oxyhemoglobin and deoxyhemoglobin during sleep stage transitions. For the system verification, the phantom model with known optical properties was tested at first, and then the sleep experiment for a human subject was conducted. The experimental results show that the developed system qualifies as a portable hybrid fNIRS-EEG sleep pattern monitoring device.