波谱学杂志2024，Vol.41Issue(4)：405-417,13.DOI:10.11938/cjmr20243096
基于可穿戴式脑磁图的视觉混合脑机接口研究
Study of Visual Hybrid Brain-Computer Interface Based on Wearable Magnetoencephalogram
摘要
Abstract
The emerging wearable magnetoencephalography technology lays the foundation for brain-computer interface to provide high-quality data.To explore the feasibility of applying wearable magnetoencephalography in visual hybrid brain-computer interface,a SSVEF-Alpha hybrid brain-computer interface is designed based on steady-state visual evoked field and Alpha wave,and the performance is compared with different classification models.The results show that based on the user-dependent training method,the average classification accuracy of hybrid brain-computer interface is(93.29±1.69)%,the information transmission rate can reach 86.81 bits/min.And the user-independent training method with short data length shows superiority over the training-free method.This study verifies the effectiveness of visual hybrid brain-computer interface and provides a reference example for further development and design of brain-computer interface products of wearable magnetoencephalography.关键词
脑机接口/可穿戴脑磁图/稳态视觉诱发场/Alpha波/分类准确率/信息传输速率Key words
brain-computer interface/wearable magnetoencephalogram/steady-state visual evoked field/Alpha wave/classification accuracy/information transmission rate分类
数理科学引用本文复制引用
王晨旭,郭旭,王慧,张欣,常严,郭清乾,胡涛,冯晓宇,杨晓冬..基于可穿戴式脑磁图的视觉混合脑机接口研究[J].波谱学杂志,2024,41(4):405-417,13.基金项目
季华实验室项目——新一代可穿戴脑磁图仪研制(X190131TD190). （X190131TD190）
