CAJ | 학술논문

脑机接口系统是一种使大脑能够不依赖于外周神经和肌肉通道，与外部环境进行交互的系统。基于P300的脑机接口字符输入系统是脑机接口技术的一种典型应用。对基于传统范式的P300脑机接口系统进行改进，设计并实现了基于熟悉人脸范式的P300脑机接口字符输入系统。实验建立了基于熟悉人脸的P300脑机接口系统的信号采集与处理模型，对采集到的数据进行预处理、特征提取，并使用集成支持向量机算法对脑电信号进行分类。结果表明，除P300电位外，熟悉人脸范式诱发出了Vpp和N170电位。与以往传统范式80.6%的字符输入正确率相比，基于熟悉人脸范式的字符输入正确率达到93.5%，具有良好的发展前景。
뇌궤접구계통시일충사대뇌능구불의뢰우외주신경화기육통도，여외부배경진행교호적계통。기우P300적뇌궤접구자부수입계통시뇌궤접구기술적일충전형응용。대기우전통범식적P300뇌궤접구계통진행개진，설계병실현료기우숙실인검범식적P300뇌궤접구자부수입계통。실험건립료기우숙실인검적P300뇌궤접구계통적신호채집여처리모형，대채집도적수거진행예처리、특정제취，병사용집성지지향량궤산법대뇌전신호진행분류。결과표명，제P300전위외，숙실인검범식유발출료Vpp화N170전위。여이왕전통범식80.6%적자부수입정학솔상비，기우숙실인검범식적자부수입정학솔체도93.5%，구유량호적발전전경。
Brain-computer interface is a interactive system which can connect with the external environment without pe-ripheral nerves and muscles for people. The P300-based brain-computer interface system is a typical application of BCI technology. In this paper,we based on the conventional P300-based brain-computer interface system,designed and im-plemented a P300-based brain-computer interface with familiar face paradigm. We established signal acquisition and pro-cessing model based on familiar face paradigm. After data preprocessing and feature extraction, we used support vector machine ensemble to classify EEG signals. The results showed that P300-based brain-computer interface with familiar face paradigm evoked the Vpp and N170 potentials besides P300 potential. Compared with the conventional P300-based brain-computer interface system which the character input accuracy was 80.6%,the familiar face paradigm character in-put accuracy reached 93.5%. The results proved that P300-based brain-computer interface system with familiar face par-adigm has a good development prospect.