Brain-Computer Interfaces最新文献_第3页

Impact of age, VR, immersion, and spatial resolution on classifier performance for a MI-based BCI 年龄，VR，沉浸和空间分辨率对基于mi的BCI分类器性能的影响

IF 2.1

Brain-Computer Interfaces Pub Date : 2022-04-04 DOI: 10.1080/2326263x.2022.2054606

D. A. Blanco-Mora, A. Aldridge, C. Jorge, A. Vourvopoulos, P. Figueiredo, S., Bermúdez I Badia

{"title":"Impact of age, VR, immersion, and spatial resolution on classifier performance for a MI-based BCI","authors":"D. A. Blanco-Mora, A. Aldridge, C. Jorge, A. Vourvopoulos, P. Figueiredo, S., Bermúdez I Badia","doi":"10.1080/2326263x.2022.2054606","DOIUrl":"https://doi.org/10.1080/2326263x.2022.2054606","url":null,"abstract":"There are many factors outlined in the signal processing pipeline that impact brain–computer interface (BCI) performance, but some methodological factors do not depend on signal processing. Nevertheless, there is a lack of research assessing the effect of such factors. Here, we investigate the impact of VR, immersiveness, age, and spatial resolution on the classifier performance of a Motor Imagery (MI) electroencephalography (EEG)-based BCI in naïve participants. We found significantly better performance for VR compared to non-VR (15 electrodes: VR 77.48 ± 6.09%, non-VR 73.5 ± 5.89%, p = 0.0096; 12 electrodes: VR 73.26 ± 5.2%, non-VR 70.87 ± 4.96%, p = 0.0129; 7 electrodes: VR 66.74 ± 5.92%, non-VR 63.09 ± 8.16%, p = 0.0362) and better performance for higher electrode quantity, but no significant differences were found between immersive and non-immersive VR. Finally, there was not a statistically significant correlation found between age and classifier performance, but there was a direct relation found between spatial resolution (electrode quantity) and classifier performance (r = 1, p = 0.0129, VR; r = 0.99, p = 0.0859, non-VR).","PeriodicalId":45112,"journal":{"name":"Brain-Computer Interfaces","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2022-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90466322","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: 6

Novel frequency-based approach for detection of steady-state visual evoked potentials for realization of practical brain computer interfaces 基于频率的稳态视觉诱发电位检测新方法，实现实用的脑机接口

IF 2.1

Brain-Computer Interfaces Pub Date : 2022-03-13 DOI: 10.1080/2326263x.2022.2050513

Mehrnoosh Neghabi, H. Marateb, A. Mahnam

引用次数: 1

Two sides of the same coin: adaptation of BCIs to internal states with user-centered design and electrophysiological features 同一枚硬币的两面:以用户为中心的设计和电生理特征使bci适应内部状态

IF 2.1

Brain-Computer Interfaces Pub Date : 2022-03-02 DOI: 10.1080/2326263x.2022.2041294

Yiyuan Han, P. Ziebell, A. Riccio, S. Halder

引用次数: 7

When should MI-BCI feature optimization include prior knowledge, and which one? 什么时候MI-BCI特征优化应该包括先验知识，哪一个?

IF 2.1

Brain-Computer Interfaces Pub Date : 2022-02-14 DOI: 10.1080/2326263x.2022.2033073

Camille Benaroch, M. Yamamoto, A. Roc, Pauline Dreyer, C. Jeunet, F. Lotte

引用次数: 6

Coherence-based connectivity analysis of EEG and EMG signals during reach-to-grasp movement involving two weights 基于相干性的两权手抓动作脑电和肌电信号连通性分析

IF 2.1

Brain-Computer Interfaces Pub Date : 2022-02-12 DOI: 10.1080/2326263x.2022.2029308

C. D. Guerrero-Méndez, A. F. Ruiz-Olaya

引用次数: 5

The 8^th international brain-computer interface meeting, BCIs: the next frontier. 第八届国际脑机接口会议，BCIs：下一个前沿。

IF 1.8

Brain-Computer Interfaces Pub Date : 2022-01-01 Epub Date: 2022-05-10 DOI: 10.1080/2326263x.2022.2066853

Jennifer L Collinger, Dean J Krusienski

引用次数: 0

Workshops of the Eighth International Brain-Computer Interface Meeting: BCIs: The Next Frontier. 第八届国际脑机接口会议研讨会：BCIs：下一个前沿。

IF 2.1

Brain-Computer Interfaces Pub Date : 2022-01-01 Epub Date: 2022-02-08 DOI: 10.1080/2326263X.2021.2009654

Jane E Huggins, Dean Krusienski, Mariska J Vansteensel, Davide Valeriani, Antonia Thelen, Sergey Stavisky, James J S Norton, Anton Nijholt, Gernot Müller-Putz, Nataliya Kosmyna, Louis Korczowski, Christoph Kapeller, Christian Herff, Sebastian Halder, Christoph Guger, Moritz Grosse-Wentrup, Robert Gaunt, Aliceson Nicole Dusang, Pierre Clisson, Ricardo Chavarriaga, Charles W Anderson, Brendan Z Allison, Tetiana Aksenova, Erik Aarnoutse

{"title":"Workshops of the Eighth International Brain-Computer Interface Meeting: BCIs: The Next Frontier.","authors":"Jane E Huggins, Dean Krusienski, Mariska J Vansteensel, Davide Valeriani, Antonia Thelen, Sergey Stavisky, James J S Norton, Anton Nijholt, Gernot Müller-Putz, Nataliya Kosmyna, Louis Korczowski, Christoph Kapeller, Christian Herff, Sebastian Halder, Christoph Guger, Moritz Grosse-Wentrup, Robert Gaunt, Aliceson Nicole Dusang, Pierre Clisson, Ricardo Chavarriaga, Charles W Anderson, Brendan Z Allison, Tetiana Aksenova, Erik Aarnoutse","doi":"10.1080/2326263X.2021.2009654","DOIUrl":"10.1080/2326263X.2021.2009654","url":null,"abstract":"The Eighth International Brain-Computer Interface (BCI) Meeting was held June 7-9th, 2021 in a virtual format. The conference continued the BCI Meeting series' interactive nature with 21 workshops covering topics in BCI (also called brain-machine interface) research. As in the past, workshops covered the breadth of topics in BCI. Some workshops provided detailed examinations of specific methods, hardware, or processes. Others focused on specific BCI applications or user groups. Several workshops continued consensus building efforts designed to create BCI standards and increase the ease of comparisons between studies and the potential for meta-analysis and large multi-site clinical trials. Ethical and translational considerations were both the primary topic for some workshops or an important secondary consideration for others. The range of BCI applications continues to expand, with more workshops focusing on approaches that can extend beyond the needs of those with physical impairments. This paper summarizes each workshop, provides background information and references for further study, presents an overview of the discussion topics, and describes the conclusion, challenges, or initiatives that resulted from the interactions and discussion at the workshop.","PeriodicalId":45112,"journal":{"name":"Brain-Computer Interfaces","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9997957/pdf/nihms-1862178.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9168804","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: 0

Extending Brain-Computer Interface Access with a Multilingual Language Model in the P300 Speller. 用P300拼写器中的多语言模型扩展脑机接口访问。

IF 2.1

Brain-Computer Interfaces Pub Date : 2022-01-01 DOI: 10.1080/2326263x.2021.1993426

P Loizidou, E Rios, A Marttini, O Keluo-Udeke, J Soetedjo, J Belay, K Perifanos, N Pouratian, W Speier

{"title":"Extending Brain-Computer Interface Access with a Multilingual Language Model in the P300 Speller.","authors":"P Loizidou, E Rios, A Marttini, O Keluo-Udeke, J Soetedjo, J Belay, K Perifanos, N Pouratian, W Speier","doi":"10.1080/2326263x.2021.1993426","DOIUrl":"https://doi.org/10.1080/2326263x.2021.1993426","url":null,"abstract":"Brain-computer interfaces (BCI) such as the P300 speller have the potential to restore communication to advanced-stage neuromuscular disease patients. Research has improved typing speed and accuracy through innovations including the use of language models. While significant advances have been made, implementations have largely been restricted to a single language, primarily English. It is unclear whether these improvements would extend to other languages that present potential technical hurdles due to different alphabets and grammatical structures. Here, we adapt a language model-based classifier designed for English to two other languages, Spanish and Greek, to demonstrate the generalizability of these methods. Online experimental trials with 30 healthy native English, Spanish, and Greek speakers showed no significant difference between performances using the different versions of the system (66.20 vs. 61.97 vs. 60.89 bits/minute). Extending these methods across languages allows for expanding access to BCI systems to other populations, particularly in the developing world.","PeriodicalId":45112,"journal":{"name":"Brain-Computer Interfaces","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9094140/pdf/nihms-1751698.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10457860","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: 2

Improving longitudinal P300-BCI performance for people with ALS using a data augmentation and jitter correction approach 使用数据增强和抖动校正方法改善ALS患者的纵向P300-BCI性能

IF 2.1

Brain-Computer Interfaces Pub Date : 2021-12-23 DOI: 10.1080/2326263x.2021.2014678

A. H. Zisk, S. B. Borgheai, J. McLinden, R. J. Deligani, Y. Shahriari

引用次数: 1

High-wearable EEG-based transducer for engagement detection in pediatric rehabilitation 基于脑电图的高可穿戴传感器在儿童康复中的参与检测

IF 2.1

Brain-Computer Interfaces Pub Date : 2021-12-16 DOI: 10.1080/2326263x.2021.2015149

Andrea Apicella, P. Arpaia, Salvatore Giugliano, Giovanna Mastrati, N. Moccaldi

引用次数: 2