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Brain-Computer Interfaces最新文献

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Open-source concealed EEG data collection for Brain-computer-interfaces - neural observation through OpenBCI amplifiers with around-the-ear cEEGrid electrodes 开源隐式脑机接口脑电数据采集-通过耳旁cEEGrid电极的OpenBCI放大器进行神经观察
IF 2.1 Q2 Engineering Pub Date : 2021-09-15 DOI: 10.1080/2326263x.2021.1972633
M. T. Knierim, Christophe Berger, Pierluigi Reali
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引用次数: 11
A Functional BCI Model by the P2731 Working Group: Transducer P2731工作组的功能脑机接口模型:换能器
IF 2.1 Q2 Engineering Pub Date : 2021-09-08 DOI: 10.1080/2326263x.2021.1968633
Guillermo Sahonero-Alvarez, Avinash Kumar Singh, K. Sayrafian, L. Bianchi, A. Roman-Gonzalez
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引用次数: 3
The BCI Glossary: a first proposal for a community review BCI术语表:社群审查的第一个提案
IF 2.1 Q2 Engineering Pub Date : 2021-09-03 DOI: 10.1080/2326263x.2021.1969789
A. Antonietti, Pradeep Balachandran, Ali Hossaini, Yaoping Hu, D. Valeriani
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引用次数: 3
Optimizing channel selection using multi-objective FODPSO for BCI applications 使用多目标FODPSO优化BCI应用程序的信道选择
IF 2.1 Q2 Engineering Pub Date : 2021-08-30 DOI: 10.1080/2326263x.2021.1966985
Poonam Sheoran, J. Saini
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引用次数: 1
A functional BCI model by the IEEE P2731 working group: data storage and sharing IEEE P2731工作组提出的功能性脑机接口模型:数据存储和共享
IF 2.1 Q2 Engineering Pub Date : 2021-08-25 DOI: 10.1080/2326263x.2021.1968632
L. Bianchi, A. Antonietti, Garima Bajwa, R. Ferrante, M. Mahmud, Pradeep Balachandran
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引用次数: 3
EEG-based musical neurointerfaces in the correction of stress-induced states 基于脑电图的音乐神经接口在应激状态矫正中的应用
IF 2.1 Q2 Engineering Pub Date : 2021-08-17 DOI: 10.1080/2326263x.2021.1964874
A. Fedotchev, S. Parin, S. Polevaya, A. Zemlianaia
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引用次数: 5
BCI glossary and functional model by the IEEE P2731 working group IEEE P2731工作组的BCI术语表和功能模型
IF 2.1 Q2 Engineering Pub Date : 2021-08-17 DOI: 10.1080/2326263x.2021.1967659
Chuck Easttom
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引用次数: 0
A Functional BCI Model by the P2731 working group: Physiology P2731工作组的功能性脑机接口模型:生理学
IF 2.1 Q2 Engineering Pub Date : 2021-07-03 DOI: 10.1080/2326263X.2021.1968665
Ali Hossaini, D. Valeriani, Chang S. Nam, R. Ferrante, M. Mahmud
The development of Brain–Computer Interfaces (BCIs) requires specialists in various fields, including engineering, computer science, medicine and neuroscience. Each of these disciplines possesses a...
脑机接口(bci)的发展需要各个领域的专家,包括工程、计算机科学、医学和神经科学。这些学科中的每一个都有一个……
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引用次数: 1
A functional BCI model by the P2731 working group: psychology P2731工作组的功能性脑机接口模型:心理学
IF 2.1 Q2 Engineering Pub Date : 2021-06-22 DOI: 10.1080/2326263x.2021.1935124
Dariusz Zapała, Ali Hossaini, Mazaher Kianpour, Guillermo Sahonero-Alvarez, A. Ayesh
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引用次数: 0
The Impact of Distractions on Intracortical Brain-Computer Interface Control of a Robotic Arm 干扰对机械臂脑机接口控制的影响
IF 2.1 Q2 Engineering Pub Date : 2021-01-31 DOI: 10.1101/2021.01.28.21250556
M. Guthrie, Angelica J. Herrera, J. Downey, Lucas Brane, M. Boninger, J. Collinger
This was an investigational device observational trial with the objective to evaluate the impact of distractions on intracortical brain-computer interface (BCI) performance. Two individuals with tetraplegia had microelectrode arrays implanted into their motor cortex for trials of intracortical BCI safety and performance. The primary task was moving a robotic arm between two targets as quickly as possible, performed alone and with various secondary distraction conditions. Primary outcomes included targets acquired, path efficiency, and subjective difficulty. There was no difference in the number of targets acquired for either subject with or without distractions. Median path efficiency was similar across all conditions (range: 0.766-0.846) except the motor distraction for Subject P2, where the median path efficiency dropped to 0.675 (p = 0.033, Mann-Whitney U test). Both subjects rated the overall difficulty of the task with and without distractions as low. Overall, intracortical BCI performance was robust to various distractions.
这是一项实验性设备观察性试验,目的是评估分心对皮质内脑机接口(BCI)性能的影响。两名四肢瘫痪患者将微电极阵列植入他们的运动皮层,用于皮质内脑机接口安全性和性能的试验。主要任务是在不同的次要分心条件下,在两个目标之间尽可能快地移动机械臂。主要结局包括获得的目标、路径效率和主观难度。在有或没有干扰的情况下,受试者获得的目标数量没有差异。除受试者P2的运动分心外,所有条件下的中位路径效率相似(范围:0.766-0.846),其中中位路径效率降至0.675 (p = 0.033, Mann-Whitney U检验)。两名受试者都认为,在有干扰和没有干扰的情况下,任务的总体难度都很低。总的来说,皮质内脑机接口的表现对各种干扰都是稳健的。
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引用次数: 1
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Brain-Computer Interfaces
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