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Source Localization for Brain-Computer Interfaces 脑机接口的源定位
IF 2.1 Q3 ENGINEERING, BIOMEDICAL
Brain-Computer Interfaces
Pub Date : 2015-01-01 DOI: 10.1007/978-3-319-10978-7_5
A. Zaitcev, G. Cook, W. Liu, M. Paley, E. Milne
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引用次数: 3
Brain Computer Interface: A Review 脑机接口:综述
IF 2.1 Q3 ENGINEERING, BIOMEDICAL
Brain-Computer Interfaces
Pub Date : 2015-01-01 DOI: 10.1007/978-3-319-10978-7_1
M. Fouad, K. Amin, Nashwa El-Bendary, A. Hassanien
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引用次数: 28
Basics of Brain Computer Interface 脑机接口基础
IF 2.1 Q3 ENGINEERING, BIOMEDICAL
Brain-Computer Interfaces
Pub Date : 2015-01-01 DOI: 10.1007/978-3-319-10978-7_2
R. Ramadan, S. Refat, Marwa A. Elshahed, R. A. Ali
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引用次数: 48
Noninvasive Electromagnetic Methods for Brain Monitoring: A Technical Review 无创电磁脑监测方法:技术综述
IF 2.1 Q3 ENGINEERING, BIOMEDICAL
Brain-Computer Interfaces
Pub Date : 2015-01-01 DOI: 10.1007/978-3-319-10978-7_3
T. Bera
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引用次数: 16
Detection of Human Emotions Using Features Based on the Multiwavelet Transform of EEG Signals 基于脑电信号多小波变换的人类情绪特征检测
IF 2.1 Q3 ENGINEERING, BIOMEDICAL
Brain-Computer Interfaces
Pub Date : 2015-01-01 DOI: 10.1007/978-3-319-10978-7_8
V. Bajaj, R. B. Pachori
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引用次数: 56
Neural correlates of learning in an electrocorticographic motor-imagery brain-computer interface. 皮质电图运动-图像脑机接口中学习的神经关联。
IF 2.1 Q3 ENGINEERING, BIOMEDICAL
Brain-Computer Interfaces
Pub Date : 2014-07-01 DOI: 10.1080/2326263X.2014.954183
Tim M Blakely, Jared D Olson, Kai J Miller, Rajesh P N Rao, Jeffrey G Ojemann

Human subjects can learn to control a one-dimensional electrocorticographic (ECoG) brain-computer interface (BCI) using modulation of primary motor (M1) high-gamma activity (signal power in the 75-200 Hz range). However, the stability and dynamics of the signals over the course of new BCI skill acquisition have not been investigated. In this study, we report 3 characteristic periods in evolution of the high-gamma control signal during BCI training: initial, low task accuracy with corresponding low power modulation in the gamma spectrum, followed by a second period of improved task accuracy with increasing average power separation between activity and rest, and a final period of high task accuracy with stable (or decreasing) power separation and decreasing trial-to-trial variance. These findings may have implications in the design and implementation of BCI control algorithms.

人类受试者可以学习通过调制初级运动(M1)高伽马活动(信号功率在75-200赫兹范围内)来控制一维皮质电图(ECoG)脑机接口(BCI)。然而，在新的脑机接口技能习得过程中，信号的稳定性和动态尚未得到研究。在本研究中，我们报告了脑机接口训练过程中高伽马控制信号演化的3个特征期:初始阶段，任务精度较低，伽马谱中相应的低功率调制;随后是任务精度提高的第二阶段，活动和休息之间的平均功率间隔增加;最后是任务精度高的阶段，功率间隔稳定(或减小)，试验间方差减小。这些发现可能会对脑机接口控制算法的设计和实现产生影响。
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引用次数: 17
Brain-Computer Interfaces and Human-Computer Interaction 脑机接口与人机交互
IF 2.1 Q3 ENGINEERING, BIOMEDICAL
Brain-Computer Interfaces
Pub Date : 2010-07-01 DOI: 10.1007/978-1-84996-272-8_1
Desney S. Tan, A. Nijholt
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引用次数: 145
Brain-Computer Interfacing and Games 脑机接口和游戏
IF 2.1 Q3 ENGINEERING, BIOMEDICAL
Brain-Computer Interfaces
Pub Date : 2010-07-01 DOI: 10.1007/978-1-84996-272-8_10
D. P. Bos, Boris Reuderink, Bram van de Laar, Hayrettin Gürkök, C. Mühl, M. Poel, A. Nijholt, D. Heylen
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引用次数: 162
Brain-Based Indices for User System Symbiosis 基于大脑的用户系统共生指标
IF 2.1 Q3 ENGINEERING, BIOMEDICAL
Brain-Computer Interfaces
Pub Date : 2010-01-01 DOI: 10.1007/978-1-84996-272-8_12
J. V. Erp, Hans Veltman, M. Grootjen
{"title":"Brain-Based Indices for User System Symbiosis","authors":"J. V. Erp, Hans Veltman, M. Grootjen","doi":"10.1007/978-1-84996-272-8_12","DOIUrl":"https://doi.org/10.1007/978-1-84996-272-8_12","url":null,"abstract":"","PeriodicalId":45112,"journal":{"name":"Brain-Computer Interfaces","volume":"1 1","pages":"201-219"},"PeriodicalIF":2.1,"publicationDate":"2010-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91281821","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 31
Direct Neural Control of Anatomically Correct Robotic Hands 解剖正确机械手的直接神经控制
IF 2.1 Q3 ENGINEERING, BIOMEDICAL
Brain-Computer Interfaces
Pub Date : 2010-01-01 DOI: 10.1007/978-1-84996-272-8_7
A. Widge, C. Moritz, Y. Matsuoka
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引用次数: 8
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