Research on Real Time EEG Signal Processing Chip Based on FPGA

Tianle Shi

2025

Abstract

This paper examines state-of-the-art in real-time electroencephalography (EEG) signal processing using Field Programmable Gate Arrays (FPGAs). EEG is a powerful tool for under-standing brain activity but presents challenges due to its low amplitude, high noise levels, and complex patterns. Traditional software-based methods are increasingly inadequate for real-time applications, such as portable brain-computer interfaces and wireless body area networks, due to computational inefficiencies and power consumption. FPGAs offer a transformative solution through their hardware-parallel architecture, dynamic reconfigurability, and computational efficiency. This review highlights key applications of FPGAs in EEG signal preprocessing, feature extraction, classification, and integrated system design. Comparative analysis shows significant improvements in processing speed, resource utilization, and classification accuracy over traditional methods. However, challenges remain in optimizing resource utilization, expanding multimodal applications, and enhancing portability. Future research directions include developing more efficient algorithms, advanced multimodal systems, and practical FPGA-based solutions to meet diverse real-world needs. The advancements discussed in this review are crucial for advancing the field of neurotechnology, as they have the potential to revolutionize healthcare and human-computer interaction by enabling more efficient and portable EEG-based systems. By addressing the limitations of traditional methods, this work paves the way for real-time, low-power, and high-accuracy applications that can significantly improve clinical diagnostics and brain-computer interface performance.

Paper Citation

in Harvard Style

Shi T. (2025). Research on Real Time EEG Signal Processing Chip Based on FPGA. In Proceedings of the 1st International Conference on Biomedical Engineering and Food Science - Volume 1: BEFS; ISBN 978-989-758-789-4, SciTePress, pages 5-9. DOI: 10.5220/0014297500004933

in Bibtex Style

@conference{befs25,
author={Tianle Shi},
title={Research on Real Time EEG Signal Processing Chip Based on FPGA},
booktitle={Proceedings of the 1st International Conference on Biomedical Engineering and Food Science - Volume 1: BEFS},
year={2025},
pages={5-9},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0014297500004933},
isbn={978-989-758-789-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Biomedical Engineering and Food Science - Volume 1: BEFS
TI - Research on Real Time EEG Signal Processing Chip Based on FPGA
SN - 978-989-758-789-4
AU - Shi T.
PY - 2025
SP - 5
EP - 9
DO - 10.5220/0014297500004933
PB - SciTePress