Brain-Computer Interfaces最新文献_第6页

Brain-computer interfaces for stroke rehabilitation: summary of the 2016 BCI Meeting in Asilomar 脑机接口用于脑卒中康复:2016年Asilomar脑机接口会议总结

IF 2.1

Brain-Computer Interfaces Pub Date : 2018-07-03 DOI: 10.1080/2326263X.2018.1493073

C. Guger, J. Millán, D. Mattia, J. Ushiba, S. Soekadar, V. Prabhakaran, N. Mrachacz‐Kersting, K. Kamada, B. Allison

引用次数: 5

Improving P300 Spelling Rate using Language Models and Predictive Spelling. 使用语言模型和预测拼写提高P300的拼写率。

IF 2.1

Brain-Computer Interfaces Pub Date : 2018-01-01 Epub Date: 2017-12-26 DOI: 10.1080/2326263X.2017.1410418

William Speier, Corey Arnold, Nand Chandravadia, Dustin Roberts, Shrita Pendekanti, Nader Pouratian

{"title":"Improving P300 Spelling Rate using Language Models and Predictive Spelling.","authors":"William Speier, Corey Arnold, Nand Chandravadia, Dustin Roberts, Shrita Pendekanti, Nader Pouratian","doi":"10.1080/2326263X.2017.1410418","DOIUrl":"https://doi.org/10.1080/2326263X.2017.1410418","url":null,"abstract":"The P300 Speller Brain-Computer Interface (BCI) provides a means of communication for those suffering from advanced neuromuscular diseases such as amyotrophic lateral sclerosis (ALS). Recent literature has incorporated language-based modelling, which uses previously chosen characters and the structure of natural language to modify the interface and classifier. Two complementary methods of incorporating language models have previously been independently studied: predictive spelling uses language models to generate suggestions of complete words to allow for the selection of multiple characters simultaneously, and language model-based classifiers have used prior characters to create a prior probability distribution over the characters based on how likely they are to follow. In this study, we propose a combined method which extends a language-based classifier to generate prior probabilities for both individual characters and complete words. In order to gauge the efficiency of this new model, results across 12 healthy subjects were measured. Incorporating predictive spelling increased typing speed using the P300 speller, with an average increase of 15.5% in typing rate across subjects, demonstrating that language models can be effectively utilized to create full word suggestions for predictive spelling. When combining predictive spelling with language model classification, typing speed is significantly improved, resulting in better typing performance.","PeriodicalId":45112,"journal":{"name":"Brain-Computer Interfaces","volume":"5 1","pages":"13-22"},"PeriodicalIF":2.1,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/2326263X.2017.1410418","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"36792781","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: 12

Vigilance state fluctuations and performance using brain-computer interface for communication. 警觉性状态波动及脑机接口通信性能研究。

IF 2.1

Brain-Computer Interfaces Pub Date : 2018-01-01 Epub Date: 2019-02-04 DOI: 10.1080/2326263X.2019.1571356

Barry Oken, Tab Memmott, Brandon Eddy, Jack Wiedrick, Melanie Fried-Oken

{"title":"Vigilance state fluctuations and performance using brain-computer interface for communication.","authors":"Barry Oken, Tab Memmott, Brandon Eddy, Jack Wiedrick, Melanie Fried-Oken","doi":"10.1080/2326263X.2019.1571356","DOIUrl":"https://doi.org/10.1080/2326263X.2019.1571356","url":null,"abstract":"The effect of fatigue and drowsiness on brain-computer interface (BCI) performance was evaluated. 20 healthy participants performed a standardized 11-minute calibration of a Rapid Serial Visual Presentation BCI system five times over two hours. For each calibration, BCI performance was evaluated using area under the receiver operating characteristic curve (AUC). Self-rated measures were obtained following each calibration including the Karolinska Sleepiness Scale and a standardized boredom scale. Physiological measures were obtained during each calibration including P300 amplitude, theta power, alpha power, median power frequency and eye-blink rate. There was a significant decrease in AUC over the five sessions. This was paralleled by increases in self-rated sleepiness and boredom and decreases in P300 amplitude. Alpha power, median power frequency, and eye-blink rate also increased but more modestly. AUC changes were only partly explained by changes in P300 amplitude. There was a decrease in BCI performance over time that related to increases in sleepiness and boredom. This worsened performance was only partly explained by decreases in P300 amplitude. Thus, drowsiness and boredom have a negative impact on BCI performance. Increased BCI performance may be possible by developing physiological measures to provide feedback to the user or to adapt the classifier to state.","PeriodicalId":45112,"journal":{"name":"Brain-Computer Interfaces","volume":"5 4","pages":"146-156"},"PeriodicalIF":2.1,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/2326263X.2019.1571356","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"37359298","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: 13

Effects of simulated visual acuity and ocular motility impairments on SSVEP brain-computer interface performance: An experiment with Shuffle Speller. 模拟视力和眼动障碍对SSVEP脑机接口性能的影响:Shuffle拼写实验。

IF 2.1

Brain-Computer Interfaces Pub Date : 2018-01-01 Epub Date: 2018-08-23 DOI: 10.1080/2326263X.2018.1504662

Betts Peters, Matt Higger, Fernando Quivira, Steven Bedrick, Shiran Dudy, Brandon Eddy, Michelle Kinsella, Tab Memmott, Jack Wiedrick, Melanie Fried-Oken, Deniz Erdogmus, Barry Oken

{"title":"Effects of simulated visual acuity and ocular motility impairments on SSVEP brain-computer interface performance: An experiment with Shuffle Speller.","authors":"Betts Peters, Matt Higger, Fernando Quivira, Steven Bedrick, Shiran Dudy, Brandon Eddy, Michelle Kinsella, Tab Memmott, Jack Wiedrick, Melanie Fried-Oken, Deniz Erdogmus, Barry Oken","doi":"10.1080/2326263X.2018.1504662","DOIUrl":"https://doi.org/10.1080/2326263X.2018.1504662","url":null,"abstract":"Individuals with severe speech and physical impairments may have concomitant visual acuity impairments (VAI) or ocular motility impairments (OMI) impacting visual BCI use. We report on the use of the Shuffle Speller typing interface for an SSVEP BCI copy-spelling task under three conditions: simulated VAI, simulated OMI, and unimpaired vision. To mitigate the effect of visual impairments, we introduce a method that adaptively selects a user-specific trial length to maximize expected information transfer rate (ITR); expected ITR is shown to closely approximate the rate of correct letter selections. All participants could type under the unimpaired and simulated VAI conditions, with no significant differences in typing accuracy or speed. Most participants (31 of 37) could not type under the simulated OMI condition; some achieved high accuracy but with slower typing speeds. Reported workload and discomfort were low, and satisfaction high, under the unimpaired and simulated VAI conditions. Implications and future directions to examine effect of visual impairment on BCI use is discussed.","PeriodicalId":45112,"journal":{"name":"Brain-Computer Interfaces","volume":"5 2-3","pages":"58-72"},"PeriodicalIF":2.1,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/2326263X.2018.1504662","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"37077483","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: 6

Enhancing P300-BCI performance using latency estimation. 使用延迟估计增强P300-BCI性能。

IF 2.1

Brain-Computer Interfaces Pub Date : 2017-01-01 Epub Date: 2017-06-28 DOI: 10.1080/2326263X.2017.1338010

Md Rakibul Mowla, Jane E Huggins, David E Thompson

引用次数: 18

Therapeutic Applications of BCI Technologies. 脑机接口技术的治疗应用。

IF 2.1

Brain-Computer Interfaces Pub Date : 2017-01-01 Epub Date: 2017-04-10 DOI: 10.1080/2326263X.2017.1307625

Dennis J McFarland, Janis Daly, Chadwick Boulay, Muhammad Parvaz

引用次数: 41

The Sixth International Brain-Computer Interface Meeting: Advances in Basic and Clinical Research. 第六届国际脑机接口会议:基础和临床研究进展。

IF 2.1

Brain-Computer Interfaces Pub Date : 2017-01-01 Epub Date: 2017-05-25 DOI: 10.1080/2326263X.2017.1328211

Jane E Huggins, Gernot Müller-Putz, Jonathan R Wolpaw

引用次数: 5

Online BCI Typing using Language Model Classifiers by ALS Patients in their Homes. ALS患者在家中使用语言模型分类器进行在线BCI分型。

IF 2.1

Brain-Computer Interfaces Pub Date : 2017-01-01 Epub Date: 2016-11-15 DOI: 10.1080/2326263X.2016.1252143

William Speier, Nand Chandravadia, Dustin Roberts, S Pendekanti, Nader Pouratian

引用次数: 21

Probabilistic Simulation Framework for EEG-Based BCI Design. 基于脑电图的脑机接口设计的概率仿真框架。

IF 2.1

Brain-Computer Interfaces Pub Date : 2016-01-01 Epub Date: 2016-12-05 DOI: 10.1080/2326263X.2016.1252621

Umut Orhan, Hooman Nezamfar, Murat Akcakaya, Deniz Erdogmus, Matt Higger, Mohammad Moghadamfalahi, Andrew Fowler, Brian Roark, Barry Oken, Melanie Fried-Oken

引用次数: 12

Effects of text generation on P300 brain-computer interface performance. 文本生成对P300脑机接口性能的影响。

IF 2.1

Brain-Computer Interfaces Pub Date : 2016-01-01 Epub Date: 2016-07-04 DOI: 10.1080/2326263X.2016.1203629

Jane E Huggins, Ramses E Alcaide-Aguirre, Katya Hill

{"title":"Effects of text generation on P300 brain-computer interface performance.","authors":"Jane E Huggins, Ramses E Alcaide-Aguirre, Katya Hill","doi":"10.1080/2326263X.2016.1203629","DOIUrl":"https://doi.org/10.1080/2326263X.2016.1203629","url":null,"abstract":"Brain-computer interfaces (BCIs) are intended to provide independent communication for those with the most severe physical impairments. However, development and testing of BCIs is typically conducted with copy-spelling of provided text, which models only a small portion of a functional communication task. This study was designed to determine how BCI performance is affected by novel text generation. We used a within-subject single-session study design in which subjects used a BCI to perform copy-spelling of provided text and to generate self-composed text to describe a picture. Additional off-line analysis was performed to identify changes in the event-related potentials that the BCI detects and to examine the effects of training the BCI classifier on task-specific data. Accuracy was reduced during the picture description task; (t(8)=2.59 p=0.0321). Creating the classifier using self-generated text data significantly improved accuracy on these data; (t(7)=-2.68, p=0.0317), but did not bring performance up to the level achieved during copy-spelling. Thus, this study shows that the task for which the BCI is used makes a difference in BCI accuracy. Task-specific BCI classifiers are a first step to counteract this effect, but additional study is needed.","PeriodicalId":45112,"journal":{"name":"Brain-Computer Interfaces","volume":"3 2","pages":"112-120"},"PeriodicalIF":2.1,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/2326263X.2016.1203629","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"34784110","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: 8