一种高精度的非侵入式脑组织氧监测系统

Objective This study presents a non-invasive cerebral tissue oxygen monitoring system integrating Functional Near-Infrared Spectroscopy (fNIRS) with USB interface, aimed at enhancing real-time monitoring capabilities and ease of operation. Methods In this study, Modified Beer-Lambert Law (MBLL) was used to measure tissue oxygenation changes under scalp and Silicon Photomultipliers(SiPM) was used as detector. By integrating fNIRS and portable USB interface, a lightweight, easy-to-use and cost-effective cerebral blood oxygen monitoring device has been developed. The accuracy, stability, reliability, ease of use and practicability of the brain tissue oxygen detection system were verified by a series of detailed experiments. Results Compared with the commercial product NeurOs Cerebral Oximetry, the system demonstrated accuracy within a ±10% range. Reproducibility tests showed an error margin between 0.42% and 3.93%, with stable performance during 8 hours of continuous multi-channel monitoring. Conclusion The system's accuracy and stability provide a reliable tool for real-time monitoring of cerebral tissue oxygenation levels. Future research will explore miniaturization, wearability, and the integration of artificial intelligence technologies.