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Multimodal fusion of magnetoencephalography and photoacoustic imaging based on optical pump : trends for wearable and noninvasive brain–computer interface

Chengpeng Chai, Xi Yang, Yuqiao Zheng, Md Belal Bin Heyat, Yang Li, Ding-Bo Yang, Yun-Hsuan Chen and Mohamad Sawan

Article (2025)

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Abstract

Wearable noninvasive brain–computer interface (BCI) technologies, such as electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS), have experienced significant progress since their inception. However, these technologies have not achieved revolutionary advancements, largely because of their inherently low signal-to-noise ratio and limited penetration depth. In recent years, the application of quantum-theory-based optically pumped (OP) technologies, particularly optical pumped magnetometers (OPMs) for magnetoencephalography (MEG) and photoacoustic imaging (PAI) utilizing OP pulsed laser sources, has opened new avenues for development in noninvasive BCIs. These advanced technologies have garnered considerable attention owing to their high sensitivity in tracking neural activity and detecting blood oxygen saturation. This paper represents the first attempt to discuss and compare technologies grounded in OP theory by examining the technical advantages of OPM-MEG and PAI over traditional EEG and fNIRS. Furthermore, the paper investigates the theoretical and structural feasibility of hardware reuse in OPM-MEG and PAI applications.

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Department: Department of Electrical Engineering
Funders: Westlake University
PolyPublie URL: https://publications.polymtl.ca/63016/
Journal Title: Biosensors & Bioelectronics (vol. 278)
Publisher: Elsevier
DOI: 10.1016/j.bios.2025.117321
Official URL: https://doi.org/10.1016/j.bios.2025.117321
Date Deposited: 28 Feb 2025 12:05
Last Modified: 16 Oct 2025 16:05
Cite in APA 7: Chai, C., Yang, X., Zheng, Y., Bin Heyat, M. B., Li, Y., Yang, D.-B., Chen, Y.-H., & Sawan, M. (2025). Multimodal fusion of magnetoencephalography and photoacoustic imaging based on optical pump : trends for wearable and noninvasive brain–computer interface. Biosensors & Bioelectronics, 278, 117321 (17 pages). https://doi.org/10.1016/j.bios.2025.117321

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