文献类型：期刊文献

英文题名：Novel hybrid brain-computer interface system based on motor imagery and P300

作者：Zuo, Cili[1];Jin, Jing[1];Yin, Erwei[2,3];Saab, Rami[4];Miao, Yangyang[1];Wang, Xingyu[1];Hu, Dewen[5];Cichocki, Andrzej[6,7,8]

机构：[1]East China Univ Sci & Technol, Key Lab Adv Control & Optimizat Chem Proc, Minist Educ, Shanghai, Peoples R China;[2]Acad Mil Sci China, Unmanned Syst Res Ctr, Natl Inst Def Technol Innovat, Beijing 100081, Peoples R China;[3]Tianjin Artificial Intelligence Innovat Ctr, Tianjin, Peoples R China;[4]Univ Toronto, Inst Biomat & Biomed Engn, Toronto, ON, Canada;[5]Natl Univ Def Technol, Coll Mechatron Engn & Automat, Changsha 410073, Hunan, Peoples R China;[6]Skolkovo Inst Sci & Technol SKOLTECH, Moscow 143026, Russia;[7]Syst Res Inst PAS, Warsaw, Poland;[8]Nicolaus Copernicus Univ UMK, Torun, Poland

年份：2020

卷号：14

期号：2

起止页码：253

外文期刊名：COGNITIVE NEURODYNAMICS

收录：;WOS:【SSCI(收录号:WOS:000491836200001)，SCI-EXPANDED(收录号:WOS:000491836200001)】；

基金：This work was supported by the National key research and development program 2017YFB13003002. This work was also supported in part by the Grant National Natural Science Foundation of China, under Grant Nos. 61573142, 61703407, 61773164, and 91420302, and the programme of Introducing Talents of Discipline to Universities (the 111 Project) under Grant B17017.

语种：英文

外文关键词：Brain-computer interface; Motor imagery; P300; Hybrid brain-computer interface paradigm

摘要：Motor imagery (MI) is a mental representation of motor behavior and has been widely used in electroencephalogram based brain-computer interfaces (BCIs). Several studies have demonstrated the efficacy of MI-based BCI-feedback training in post-stroke rehabilitation. However, in the earliest stage of the training, calibration data typically contain insufficient discriminability, resulting in unreliable feedback, which may decrease subjects' motivation and even hinder their training. To improve the performance in the early stages of MI training, a novel hybrid BCI paradigm based on MI and P300 is proposed in this study. In this paradigm, subjects are instructed to imagine writing the Chinese character following the flash order of the desired Chinese character displayed on the screen. The event-related desynchronization/synchronization (ERD/ERS) phenomenon is produced with writing based on one's imagination. Simultaneously, the P300 potential is evoked by the flash of each stroke. Moreover, a fusion method of P300 and MI classification is proposed, in which unreliable P300 classifications are corrected by reliable MI classifications. Twelve healthy naive MI subjects participated in this study. Results demonstrated that the proposed hybrid BCI paradigm yielded significantly better performance than the single-modality BCI paradigm. The recognition accuracy of the fusion method is significantly higher than that of P300 (p < 0.05) and MI (p < 0.01). Moreover, the training data size can be reduced through fusion of these two modalities.