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Brain-Computer Interfaces最新文献

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Demonstration of a portable intracortical brain-computer interface 便携式皮质内脑机接口的演示
IF 2.1
Brain-Computer Interfaces Pub Date : 2019-09-23 DOI: 10.1101/19004721
Jeffrey M. Weiss, R. Gaunt, R. Franklin, M. Boninger, J. Collinger
{"title":"Demonstration of a portable intracortical brain-computer interface","authors":"Jeffrey M. Weiss, R. Gaunt, R. Franklin, M. Boninger, J. Collinger","doi":"10.1101/19004721","DOIUrl":"https://doi.org/10.1101/19004721","url":null,"abstract":"While recent advances in intracortical brain-computer interfaces (iBCI) have demonstrated the ability to restore motor and communication functions, such demonstrations have generally been confined to controlled experimental settings and have required bulky laboratory hardware. Here, we developed and evaluated a self-contained portable iBCI that enabled the user to interact with various computer programs. The iBCI, which weighs 1.5 kg, consists of digital headstages, a small signal processing hub, and a tablet PC. A human participant tested the portable iBCI in laboratory and home settings under an FDA Investigational Device Exemption (NCT01894802). The participant successfully completed 96% of trials in a 2D cursor center-out task with the portable iBCI, a rate indistinguishable from that achieved with the standard laboratory iBCI. The participant also completed a variety of free-form tasks, including drawing, gaming, and typing.","PeriodicalId":45112,"journal":{"name":"Brain-Computer Interfaces","volume":"119 1","pages":""},"PeriodicalIF":2.1,"publicationDate":"2019-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77962314","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: 12
Increasing brain-computer interface media depictions: pressing ethical concerns 越来越多的脑机接口媒体描述:紧迫的伦理问题
IF 2.1
Brain-Computer Interfaces Pub Date : 2019-08-28 DOI: 10.1080/2326263x.2019.1655837
Frederic Gilbert, C. Pham, J. Viaña, W. Gillam
{"title":"Increasing brain-computer interface media depictions: pressing ethical concerns","authors":"Frederic Gilbert, C. Pham, J. Viaña, W. Gillam","doi":"10.1080/2326263x.2019.1655837","DOIUrl":"https://doi.org/10.1080/2326263x.2019.1655837","url":null,"abstract":"This article explores how brain-computer interfaces (BCI) are depicted in the English-speaking media, especially by news outlets. We use the FACTICA database to analyze depictions of BCIs from the first time the term appeared in the media (1993) up until 31 December 2017. We found a sample of over 4064 articles on BCIs. Results indicate that 76.91% of articles portrayed BCI positively, including 25.27% that were overly positive, while 26.64 % of the total articles contain claims about BCI-enabled enhancement. In contrast, 1.6% of articles had a negative tone and only 2.7% of articles flag issues explicitly related to ethical concerns surrounding BCI technology. We propose: 1) A proactive effort by the scientific community to push-out to the media stories focused on the limits and actual capabilities of BCIs, separating science from science fiction; 2) More influence should be brought to bear on the technological risks and process of informed consent.","PeriodicalId":45112,"journal":{"name":"Brain-Computer Interfaces","volume":"31 1","pages":""},"PeriodicalIF":2.1,"publicationDate":"2019-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82964339","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: 16
Personalized adaptive instruction design (PAID) for brain–computer interface using reinforcement learning and deep learning: simulated data study 基于强化学习和深度学习的脑机接口个性化自适应教学设计:模拟数据研究
IF 2.1
Brain-Computer Interfaces Pub Date : 2019-08-13 DOI: 10.1080/2326263X.2019.1651570
A. Eliseyev, T. Aksenova
{"title":"Personalized adaptive instruction design (PAID) for brain–computer interface using reinforcement learning and deep learning: simulated data study","authors":"A. Eliseyev, T. Aksenova","doi":"10.1080/2326263X.2019.1651570","DOIUrl":"https://doi.org/10.1080/2326263X.2019.1651570","url":null,"abstract":"ABSTRACTBrain–computer interface (BCI) systems may require the user to perform a set of mental tasks, such as imagining different types of motion. The performance demonstrated on these tasks varies...","PeriodicalId":45112,"journal":{"name":"Brain-Computer Interfaces","volume":"25 6 1","pages":""},"PeriodicalIF":2.1,"publicationDate":"2019-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90603302","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: 4
Brain connectivity evaluation during selective attention using EEG-based brain-computer interface 基于脑电图的脑机接口评价选择性注意过程中的脑连通性
IF 2.1
Brain-Computer Interfaces Pub Date : 2019-08-07 DOI: 10.1080/2326263X.2019.1651186
Soheil Borhani, R. Abiri, Yang Jiang, T. Berger, Xiaopeng Zhao
{"title":"Brain connectivity evaluation during selective attention using EEG-based brain-computer interface","authors":"Soheil Borhani, R. Abiri, Yang Jiang, T. Berger, Xiaopeng Zhao","doi":"10.1080/2326263X.2019.1651186","DOIUrl":"https://doi.org/10.1080/2326263X.2019.1651186","url":null,"abstract":"ABSTRACTAttentional deficits may be caused by neurological diseases, including Attention-Deficit/Hyperactivity Disorder (ADHD), Alzheimer’s disease (AD), Traumatic Brain Injuries (TBI), etc. This w...","PeriodicalId":45112,"journal":{"name":"Brain-Computer Interfaces","volume":"16 1","pages":""},"PeriodicalIF":2.1,"publicationDate":"2019-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87646465","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: 11
Online detection of error-related potentials in multi-class cognitive task-based BCIs 基于多类认知任务的脑机接口错误相关电位的在线检测
IF 2.1
Brain-Computer Interfaces Pub Date : 2019-05-08 DOI: 10.1080/2326263X.2019.1614770
R. Yousefi, Alborz Rezazadeh Sereshkeh, T. Chau
{"title":"Online detection of error-related potentials in multi-class cognitive task-based BCIs","authors":"R. Yousefi, Alborz Rezazadeh Sereshkeh, T. Chau","doi":"10.1080/2326263X.2019.1614770","DOIUrl":"https://doi.org/10.1080/2326263X.2019.1614770","url":null,"abstract":"ABSTRACTOne method for improving the accuracy and hence the rate of communication of a brain–computer interface (BCI) is to automatically correct erroneous classifications by exploiting error-relat...","PeriodicalId":45112,"journal":{"name":"Brain-Computer Interfaces","volume":"65 1","pages":""},"PeriodicalIF":2.1,"publicationDate":"2019-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/2326263X.2019.1614770","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72502923","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: 8
Spatio-temporal analysis of error-related brain activity in active and passive brain-computer interfaces. 主动和被动脑机接口中与错误相关的脑活动的时空分析。
IF 2.1
Brain-Computer Interfaces Pub Date : 2019-01-01 Epub Date: 2019-11-19 DOI: 10.1080/2326263x.2019.1671040
M Mousavi, V R de Sa
{"title":"Spatio-temporal analysis of error-related brain activity in active and passive brain-computer interfaces.","authors":"M Mousavi,&nbsp;V R de Sa","doi":"10.1080/2326263x.2019.1671040","DOIUrl":"https://doi.org/10.1080/2326263x.2019.1671040","url":null,"abstract":"<p><p>Electroencephalography (EEG)-based brain-computer interface (BCI) systems infer brain signals recorded via EEG without using common neuromuscular pathways. User brain response to BCI error is a contributor to non-stationarity of the EEG signal and poses challenges in developing reliable active BCI control. Many passive BCI implementations, on the other hand, have the detection of error-related brain activity as their primary goal. Therefore, reliable detection of this signal is crucial in both active and passive BCIs. In this work, we propose CREST: a novel covariance-based method that uses Riemannian and Euclidean geometry and combines spatial and temporal aspects of the feedback-related brain activity in response to BCI error. We evaluate our proposed method with two datasets: an active BCI for 1-D cursor control using motor imagery and a passive BCI for 2-D cursor control. We show significant improvement across participants in both datasets compared to existing methods.</p>","PeriodicalId":45112,"journal":{"name":"Brain-Computer Interfaces","volume":"6 4","pages":"118-127"},"PeriodicalIF":2.1,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/2326263x.2019.1671040","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38523488","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 9
Automated Artifact Rejection Algorithms Harm P3 Speller Brain-Computer Interface Performance. 自动伪影抑制算法损害P3拼写机脑机接口性能。
IF 2.1
Brain-Computer Interfaces Pub Date : 2019-01-01 Epub Date: 2020-03-02 DOI: 10.1080/2326263X.2020.1734401
David E Thompson, Md Rakibul Mowla, Katie J Dhuyvetter, Joseph W Tillman, Jane E Huggins
{"title":"Automated Artifact Rejection Algorithms Harm P3 Speller Brain-Computer Interface Performance.","authors":"David E Thompson,&nbsp;Md Rakibul Mowla,&nbsp;Katie J Dhuyvetter,&nbsp;Joseph W Tillman,&nbsp;Jane E Huggins","doi":"10.1080/2326263X.2020.1734401","DOIUrl":"https://doi.org/10.1080/2326263X.2020.1734401","url":null,"abstract":"<p><p>Brain-Computer Interfaces (BCIs) have been used to restore communication and control to people with severe paralysis. However, non-invasive BCIs based on electroencephalogram (EEG) are particularly vulnerable to noise artifacts. These artifacts, including electro-oculogram (EOG), can be orders of magnitude larger than the signal to be detected. Many automated methods have been proposed to remove EOG and other artifacts from EEG recordings, most based on blind source separation. This work presents a performance comparison of ten different automated artifact removal methods. Unfortunately, all tested methods substantially and significantly reduced P3 Speller BCI performance, and all methods were more likely to reduce performance than increase it. The least harmful methods were titled SOBI, JADER, and EFICA, but even these methods caused an average of approximately ten percentage points drop in BCI accuracy. Possible mechanistic causes for this empirical performance deduction are proposed.</p>","PeriodicalId":45112,"journal":{"name":"Brain-Computer Interfaces","volume":"6 4","pages":"141-148"},"PeriodicalIF":2.1,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/2326263X.2020.1734401","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39901340","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
Asilomar survey: researcher perspectives on ethical principles and guidelines for BCI research Asilomar调查:研究者对脑机接口研究的伦理原则和指导方针的看法
IF 2.1
Brain-Computer Interfaces Pub Date : 2018-10-02 DOI: 10.1080/2326263X.2018.1530010
Michelle Pham, S. Goering, M. Sample, J. Huggins, E. Klein
{"title":"Asilomar survey: researcher perspectives on ethical principles and guidelines for BCI research","authors":"Michelle Pham, S. Goering, M. Sample, J. Huggins, E. Klein","doi":"10.1080/2326263X.2018.1530010","DOIUrl":"https://doi.org/10.1080/2326263X.2018.1530010","url":null,"abstract":"ABSTRACTBrain-computer Interface (BCI) research is rapidly expanding, and it engages domains of human experience that many find central to our current understanding of ourselves. Ethical principles...","PeriodicalId":45112,"journal":{"name":"Brain-Computer Interfaces","volume":"49 5 1","pages":""},"PeriodicalIF":2.1,"publicationDate":"2018-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89203276","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: 16
A comparison of a broad range of EEG acquisition devices – is there any difference for SSVEP BCIs? 广泛的脑电图采集设备的比较- SSVEP脑机接口有什么不同吗?
IF 2.1
Brain-Computer Interfaces Pub Date : 2018-10-02 DOI: 10.1080/2326263X.2018.1550710
R. Zerafa, T. Camilleri, O. Falzon, K. Camilleri
{"title":"A comparison of a broad range of EEG acquisition devices – is there any difference for SSVEP BCIs?","authors":"R. Zerafa, T. Camilleri, O. Falzon, K. Camilleri","doi":"10.1080/2326263X.2018.1550710","DOIUrl":"https://doi.org/10.1080/2326263X.2018.1550710","url":null,"abstract":"ABSTRACTThis study compared the signal quality of six commercially available electroencephalography (EEG) signal acquisition systems in order to evaluate their application in a brain-computer inter...","PeriodicalId":45112,"journal":{"name":"Brain-Computer Interfaces","volume":"6 1","pages":""},"PeriodicalIF":2.1,"publicationDate":"2018-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77008195","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: 10
Caregiver and special education staff perspectives of a commercial brain-computer interface as access technology: a qualitative study 看护者和特殊教育人员对商业脑机接口作为访问技术的看法:一项定性研究
IF 2.1
Brain-Computer Interfaces Pub Date : 2018-07-03 DOI: 10.1080/2326263X.2018.1505191
S. Taherian, T. C. Davies
{"title":"Caregiver and special education staff perspectives of a commercial brain-computer interface as access technology: a qualitative study","authors":"S. Taherian, T. C. Davies","doi":"10.1080/2326263X.2018.1505191","DOIUrl":"https://doi.org/10.1080/2326263X.2018.1505191","url":null,"abstract":"ABSTRACTThis study sought to understand the perceptions of special education staff and caregivers (n = 6) who took part in a brain-computer interface (BCI) technology trial for individuals with severe cerebral palsy. Participants were interviewed post-trials regarding the different BCI components. The transcripts were coded and analyzed using thematic analysis. Results showed that BCIs are not suitable for independent use outside of clinical/laboratory settings. The hardware needs to be configurable, comfortable and accommodate physical support needs. The training approach needs to be less cognitively demanding, motivating and support personalized mental tasks. For BCIs to transition into the real world, there should be adequate technological support, improved reliability, and a systemic assessment of how the technology will fit into the lives of end users. Participants emphasized the on-going need to involve users and individuals who support them, to create a system that truly meets the needs of the users.","PeriodicalId":45112,"journal":{"name":"Brain-Computer Interfaces","volume":"21 1","pages":""},"PeriodicalIF":2.1,"publicationDate":"2018-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88915053","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: 5
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