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Brain-Computer Interfaces最新文献

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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 Q3 ENGINEERING, BIOMEDICAL
Brain-Computer Interfaces
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 Q3 ENGINEERING, BIOMEDICAL
Brain-Computer Interfaces
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
Index 指数
IF 2.1 Q3 ENGINEERING, BIOMEDICAL
Brain-Computer Interfaces
Pub Date : 2020-01-01 DOI: 10.1016/b978-0-444-63934-9.09989-3
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引用次数: 0
TeleBCI: remote user training, monitoring, and communication with an evoked-potential brain-computer interface. TeleBCI:远程用户培训，监测和通信与唤起电位脑机接口。
IF 2.1 Q3 ENGINEERING, BIOMEDICAL
Brain-Computer Interfaces
Pub Date : 2020-01-01 Epub Date: 2020-11-18 DOI: 10.1080/2326263X.2020.1848134
A Geronimo, Zachary Simmons

Brain-computer interfaces (BCIs) are a movement-independent form of augmentative and alternative communication (AAC) for individuals with amyotrophic lateral sclerosis (ALS). The rare utilization of such devices in the homes of patients stems from a number of factors, one of which is the complexity of providing training and support for users. This paper describes the teleBCI interface used to train the patient and facilitator in the operation of a virtual keyboard using an evoked potential BCI. Fifteen patients with motor neuron disease and their communication partners were included in the study, participating from their homes while receiving remote support from the research team. Patient/caregiver teams completed 8 sessions each of P300 BCI training virtually with the researcher. As they participated in subsequent training sessions, participant teams required less help to complete physical, computer, and BCI-specific tasks associated with device use. A subset of users experienced improved performance over sessions, progressing to utilize the full functionality of the speller and communicate with a nurse partner over a telemedicine interface. Perceptions of device utility varied with accuracy of the BCI system. In the management of ALS, the integration of telemedicine provides new opportunities for care delivery, including how BCI-AAC are deployed and used.

脑机接口(bci)是肌萎缩性侧索硬化症(ALS)患者的一种独立于运动的增强和替代交流(AAC)形式。这种装置很少在患者家中使用是由许多因素造成的，其中一个因素是向用户提供培训和支持的复杂性。本文介绍了利用诱发电位脑机接口训练病人和引导员使用虚拟键盘的远程脑机接口。15名患有运动神经元疾病的患者及其交流伙伴参与了这项研究，他们在家中接受研究小组的远程支持。患者/护理人员团队与研究人员一起完成了8次P300脑机接口培训。由于他们参加了随后的培训课程，参与者团队在完成与设备使用相关的物理、计算机和bci特定任务时需要的帮助减少了。一部分用户在会话过程中体验到了性能的提高，他们逐渐能够利用拼写器的全部功能，并通过远程医疗界面与护士合作伙伴进行通信。设备效用的感知随脑机接口系统的准确性而变化。在ALS的管理中，远程医疗的整合为医疗服务提供了新的机会，包括如何部署和使用BCI-AAC。
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引用次数: 3
Series Page 系列页面
IF 2.1 Q3 ENGINEERING, BIOMEDICAL
Brain-Computer Interfaces
Pub Date : 2020-01-01 DOI: 10.1016/b978-0-444-63934-9.09987-x
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引用次数: 0
Development of a ternary hybrid fNIRS-EEG brain–computer interface based on imagined speech 基于想象语音的fNIRS-EEG三元混合脑机接口的研制
IF 2.1 Q3 ENGINEERING, BIOMEDICAL
Brain-Computer Interfaces
Pub Date : 2019-12-17 DOI: 10.1080/2326263x.2019.1698928
Alborz Rezazadeh Sereshkeh, R. Yousefi, Andrew T. Wong, Frank Rudzicz, T. Chau
There is increasing interest in developing intuitive brain-computer interfaces (BCIs) to differentiate intuitive mental tasks such as imagined speech. Both electroencephalography (EEG) and function...
人们对开发直观的脑机接口(bci)来区分直观的心理任务(如想象的语音)越来越感兴趣。脑电图(EEG)和功能…
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引用次数: 31
Articles from the Seventh International Brain-Computer Interface Meeting 第七届国际脑机接口会议论文
IF 2.1 Q3 ENGINEERING, BIOMEDICAL
Brain-Computer Interfaces
Pub Date : 2019-10-02 DOI: 10.1080/2326263x.2020.1746492
J. Huggins, M. Slutzky
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引用次数: 1
Turning negative into positives! Exploiting ‘negative’ results in Brain–Machine Interface (BMI) research 化消极为积极!利用脑机接口(BMI)研究中的“负面”结果
IF 2.1 Q3 ENGINEERING, BIOMEDICAL
Brain-Computer Interfaces
Pub Date : 2019-10-02 DOI: 10.1080/2326263x.2019.1697143
F. Lotte, C. Jeunet, Ricardo Chavarriaga, L. Bougrain, Dave Thompson, Reinhold Scherer, Rakibul Mowla, A. Kübler, M. Grosse-Wentrup, K. Dijkstra, Natalie Dayan
Results that do not confirm expectations are generally referred to as ‘negative’ results. While essential for scientific progress, they are too rarely reported in the literature – Brain–Machine Int...
不符合预期的结果通常被称为“负面”结果。虽然它们对科学进步至关重要，但在文献中却很少有报道。
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引用次数: 8
Decision confidence: EEG correlates of confidence in different phases of an old/new recognition task 决策置信度:新旧识别任务不同阶段置信度的脑电图相关
IF 2.1 Q3 ENGINEERING, BIOMEDICAL
Brain-Computer Interfaces
Pub Date : 2019-10-02 DOI: 10.1080/2326263x.2019.1708539
Tanja Krumpe, Peter Gerjets, W. Rosenstiel, M. Spüler
We use an old-new recognition memory task to investigate the correlates of high and low decision confidence throughout all stages of the memory process. Group-level ERP analysis and single-trial an...
我们使用新旧识别记忆任务来研究高决策置信度和低决策置信度在记忆过程各个阶段的相关性。组级ERP分析和单试验分析
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引用次数: 5
An active recursive state estimation framework for brain-interfaced typing systems 脑接口分型系统的主动递归状态估计框架
IF 2.1 Q3 ENGINEERING, BIOMEDICAL
Brain-Computer Interfaces
Pub Date : 2019-10-02 DOI: 10.1080/2326263x.2020.1729652
Aziz Koçanaoğulları, Y. Marghi, M. Akçakaya, Deniz Erdoğmuş
Typing systems driven by noninvasive electroencephalogram (EEG)-based brain–computer interfaces (BCIs) can help people with severe communication disorders (including locked-in state) communicate. T...
基于无创脑电图(EEG)的脑机接口(bci)驱动的打字系统可以帮助患有严重沟通障碍(包括闭锁状态)的人进行沟通。T…
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引用次数: 3
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