典型文献
Application of Brain-Computer-Interface in Awareness Detection Using Machine Learning Methods
文献摘要：
The awareness detection in patients with disorders of consciousness currently relies on behav-ioral observations and CRS-R tests,however,the mis-diagnosis rates have been relatively high.In this study,we applied brain-computer interface(BCI)to aware-ness detection with a passive auditory stimulation paradigm.12 subjects with normal hearing were in-vited to collect electroencephalogram(EEG)based on a BCI communication system,in which EEG sig-nals are transmitted wirelessly.After necessary pre-processing,RBF-SVM and EEGNet were used for algorithm realization and analysis.For a single sub-ject,RBF-SVM can distinguish his(her)name stim-uli awareness with classification accuracies ranging from 60-95％.EEGNet was used to learn all subjects'data and improved accuracy to 78.04％for character-istics finding and model generalization.Moreover,we completed the supplementary analysis work from the time domain and time-frequency domain.This study applied BCI communication to human awareness de-tection,proposed a passive auditory paradigm,and proved the effectiveness,which could be an inspira-tion for brain,mental or physical diseases diagnosis and detection.
文献关键词：
中图分类号：
作者姓名：
Kaiqiang Feng;Weilong Lin;Feng Wu;Chengxin Pang;Liang Song;Yijia Wu;Rong Cao;Huiliang Shang;Xinhua Zeng
作者机构：
Academy for Engineering and Technology,Fudan University,Shanghai 200433,China;School of Information Science and Technology,Fudan University,Shanghai 200433,China;Department of Cardiology,Yueyang Hospital of Integrated Traditional Chinese and Western Medicine,Shanghai 200437,China;Electronics and Information Engineering,Shanghai University of Electric Power,Shanghai 200090,China
文献出处：
引用格式：
[1]Kaiqiang Feng;Weilong Lin;Feng Wu;Chengxin Pang;Liang Song;Yijia Wu;Rong Cao;Huiliang Shang;Xinhua Zeng-.Application of Brain-Computer-Interface in Awareness Detection Using Machine Learning Methods)[J].中国通信（英文版）,2022(06):279-291
A类：
ioral,vited,uli,inspira
B类：
Application,Brain,Computer,Interface,Awareness,Detection,Using,Machine,Learning,Methods,awareness,detection,patients,disorders,consciousness,currently,relies,behav,observations,CRS,tests,however,mis,diagnosis,rates,have,been,relatively,high,this,study,applied,brain,computer,interface,BCI,passive,auditory,stimulation,paradigm,subjects,normal,hearing,were,collect,electroencephalogram,communication,system,which,sig,nals,transmitted,wirelessly,After,necessary,pre,processing,RBF,EEGNet,used,algorithm,realization,analysis,For,single,can,distinguish,her,name,classification,accuracies,ranging,from,was,learn,all,data,improved,accuracy,character,istics,finding,model,generalization,Moreover,completed,supplementary,work,domain,frequency,This,human,proposed,effectiveness,could,mental,physical,diseases
AB值：
0.59051
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