Real-Time Monitoring Technology for Physiological States in Brain Computer Interface Systems

Chenxi Hu

2025

Abstract

Since the early 2000s, Brain-Computer Interface (BCI) systems have emerged as a transforma-tive technology in neuroscience, enabling direct communication between the brain and exter-nal devices. Originally developed to restore motor functions and control external systems, BCIs now extends to real-time physiological state monitoring. This paper explores the evolu-tion and methodologies of BCIs, focusing on signal detection techniques. Non-invasive meth-ods, such as Electroencephalography (EEG) and Functional Near-Infrared Spectroscopy (fNIRS), provide safe and accessible options, while invasive techniques like Electrocorticogra-phy (ECoG) offer superior precision. Hybrid BCIs, integrating modalities such as EEG-fNIRS, enhance performance by combining the strengths of individual technologies. The applications of BCIs span clinical and non-clinical domains, including stroke rehabilitation, communica-tion for individuals with severe impairments, brain-controlled gaming, and artistic creation. Recent advancements in signal acquisition, processing, and integration, such as improved electrode designs and real-time signal processing algorithms, have established BCIs as a criti-cal tool for neurotechnological innovation, with immense potential to transform healthcare and human-computer interaction.

Paper Citation

in Harvard Style

Hu C. (2025). Real-Time Monitoring Technology for Physiological States in Brain Computer Interface Systems. In Proceedings of the 2nd International Conference on Innovations in Applied Mathematics, Physics, and Astronomy - Volume 1: IAMPA; ISBN 978-989-758-774-0, SciTePress, pages 649-654. DOI: 10.5220/0013851800004708

in Bibtex Style

@conference{iampa25,
author={Chenxi Hu},
title={Real-Time Monitoring Technology for Physiological States in Brain Computer Interface Systems},
booktitle={Proceedings of the 2nd International Conference on Innovations in Applied Mathematics, Physics, and Astronomy - Volume 1: IAMPA},
year={2025},
pages={649-654},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013851800004708},
isbn={978-989-758-774-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on Innovations in Applied Mathematics, Physics, and Astronomy - Volume 1: IAMPA
TI - Real-Time Monitoring Technology for Physiological States in Brain Computer Interface Systems
SN - 978-989-758-774-0
AU - Hu C.
PY - 2025
SP - 649
EP - 654
DO - 10.5220/0013851800004708
PB - SciTePress