A portable steady-state visual evoked potential brain-computer interface system for smart healthcare

• Published in: Sheng wu yi xue gong cheng xue za zhi Vol. 42; no. 3; p. 455
• Main Authors: Zhu, Yisen, Ji, Zhouyu, Li, Shuran, Wang, Haicheng, Fu, Yunfa, Wang, Hongtao
• Format: Journal Article
• Language: Chinese
• Published: China 25.06.2025
• Subjects: Adult; Brain-Computer Interfaces; Electroencephalography; Evoked Potentials, Visual - physiology; Humans; Male; Signal Processing, Computer-Assisted; Software; Brain-computer interface; Filter bank canonical correlation analysis; Steady-state visual evoked potential; Medical rehabilitation assistance
• ISSN: 1001-5515
• DOI: 10.7507/1001-5515.202412051

This paper realized a portable brain-computer interface (BCI) system tailored for smart healthcare. Through the decoding of steady-state visual evoked potential (SSVEP), this system can rapidly and accurately identify the intentions of subjects, thereby meeting the practical demands of daily medical scenarios. Firstly, an SSVEP stimulation interface and an electroencephalogram (EEG) signal acquisition software were designed, which enable the system to execute multi-target and multi-task operations while also incorporating data visualization functionality. Secondly, the EEG signals recorded from the occipital region were decomposed into eight sub-frequency bands using filter bank canonical correlation analysis (FBCCA). Subsequently, the similarity between each sub-band signal and the reference signals was computed to achieve efficient SSVEP decoding. Finally, 15 subjects were recruited to participate in the online evaluation of the system. The experimental results indicated that in real-world scenarios, the sy