Literature DB >> 32015765

An ERP-based BCI with peripheral stimuli: validation with ALS patients.

Yangyang Miao1, Erwei Yin2,3, Brendan Z Allison4, Yu Zhang5, Yan Chen6, Yi Dong6, Xingyu Wang1, Dewen Hu7, Andrzej Chchocki8,9,10, Jing Jin1.   

Abstract

Many studies reported that ERP-based BCIs can provide communication for some people with amyotrophic lateral sclerosis (ALS). ERP-based BCIs often present characters within a matrix that occupies the center of the visual field. However, several studies have identified some concerns with the matrix-based approach. This approach may lead to fatigue and errors resulting from flashing adjacent stimuli, and is impractical for users who might want to use the BCI in tandem with other software or feedback in the center of the monitor. In this paper, we introduce and validate an alternate ERP-based BCI display approach. By presenting stimuli near the periphery of the display, we reduce the adjacency problem and leave the center of the display available for feedback or other applications. Two ERP-based display approaches were tested on 18 ALS patients to: (1) compare performance between a conventional matrix speller paradigm (Matrix-P, mean visual angle 6°) and a new speller paradigm with peripherally distributed stimuli (Peripheral-P, mean visual angle 8.8°); and (2) assess performance while spelling 42 characters online continuously, without a break. In the Peripheral-P condition, 12 subjects attained higher than 80% feedback accuracy during online performance, and 7 of these subjects obtained higher than 90% accuracy. The experimental results showed that the Peripheral-P condition yielded performance comparable to the conventional Matrix-P condition (p > 0.05) in accuracy and information transfer rate. This paper introduces a new display approach that leaves the center of the monitor open for feedback and/or other display elements, such as movies, games, art, or displays from other AAC software or conventional software tools. © Springer Nature B.V. 2019.

Entities:  

Keywords:  ALS; Accuracy; BCI; ERP; ITR

Year:  2019        PMID: 32015765      PMCID: PMC6974196          DOI: 10.1007/s11571-019-09541-0

Source DB:  PubMed          Journal:  Cogn Neurodyn        ISSN: 1871-4080            Impact factor:   5.082


  54 in total

Review 1.  Toward smarter BCIs: extending BCIs through hybridization and intelligent control.

Authors:  B Z Allison; R Leeb; C Brunner; G R Müller-Putz; G Bauernfeind; J W Kelly; C Neuper
Journal:  J Neural Eng       Date:  2011-12-07       Impact factor: 5.379

2.  EEG correlates of P300-based brain-computer interface (BCI) performance in people with amyotrophic lateral sclerosis.

Authors:  Joseph N Mak; Dennis J McFarland; Theresa M Vaughan; Lynn M McCane; Phillippa Z Tsui; Debra J Zeitlin; Eric W Sellers; Jonathan R Wolpaw
Journal:  J Neural Eng       Date:  2012-02-21       Impact factor: 5.379

3.  A brain-computer interface for long-term independent home use.

Authors:  Eric W Sellers; Theresa M Vaughan; Jonathan R Wolpaw
Journal:  Amyotroph Lateral Scler       Date:  2010-10

4.  Towards an independent brain-computer interface using steady state visual evoked potentials.

Authors:  Brendan Z Allison; Dennis J McFarland; Gerwin Schalk; Shi Dong Zheng; Melody Moore Jackson; Jonathan R Wolpaw
Journal:  Clin Neurophysiol       Date:  2008-02       Impact factor: 3.708

5.  A P300 brain-computer interface based on a modification of the mismatch negativity paradigm.

Authors:  Jing Jin; Eric W Sellers; Sijie Zhou; Yu Zhang; Xingyu Wang; Andrzej Cichocki
Journal:  Int J Neural Syst       Date:  2015-02-26       Impact factor: 5.866

6.  An exploration of spatial auditory BCI paradigms with different sounds: music notes versus beeps.

Authors:  Minqiang Huang; Ian Daly; Jing Jin; Yu Zhang; Xingyu Wang; Andrzej Cichocki
Journal:  Cogn Neurodyn       Date:  2016-01-23       Impact factor: 5.082

7.  Self-regulation of slow cortical potentials in completely paralyzed human patients.

Authors:  A Kuebler; B Kotchoubey; H P Salzmann; N Ghanayim; J Perelmouter; V Hömberg; N Birbaumer
Journal:  Neurosci Lett       Date:  1998-08-21       Impact factor: 3.046

8.  A hybrid brain-computer interface based on the fusion of electroencephalographic and electromyographic activities.

Authors:  Robert Leeb; Hesam Sagha; Ricardo Chavarriaga; José Del R Millán
Journal:  J Neural Eng       Date:  2011-03-24       Impact factor: 5.379

9.  Towards correlation-based time window selection method for motor imagery BCIs.

Authors:  Jiankui Feng; Erwei Yin; Jing Jin; Rami Saab; Ian Daly; Xingyu Wang; Dewen Hu; Andrzej Cichocki
Journal:  Neural Netw       Date:  2018-03-02

10.  Comparing tactile and visual gaze-independent brain-computer interfaces in patients with amyotrophic lateral sclerosis and healthy users.

Authors:  M Severens; M Van der Waal; J Farquhar; P Desain
Journal:  Clin Neurophysiol       Date:  2014-03-14       Impact factor: 3.708

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  9 in total

1.  Brain activity during time to contact estimation: an EEG study.

Authors:  Asieh Daneshi; Hamed Azarnoush; Farzad Towhidkhah; Delphine Bernardin; Jocelyn Faubert
Journal:  Cogn Neurodyn       Date:  2019-11-27       Impact factor: 5.082

2.  Coefficient-of-variation-based channel selection with a new testing framework for MI-based BCI.

Authors:  Ruocheng Xiao; Yitao Huang; Ren Xu; Bei Wang; Xingyu Wang; Jing Jin
Journal:  Cogn Neurodyn       Date:  2021-11-29       Impact factor: 3.473

3.  Evaluation of color modulation in visual P300-speller using new stimulus patterns.

Authors:  Xinru Zhang; Jing Jin; Shurui Li; Xingyu Wang; Andrzej Cichocki
Journal:  Cogn Neurodyn       Date:  2021-02-21       Impact factor: 3.473

Review 4.  Bacomics: a comprehensive cross area originating in the studies of various brain-apparatus conversations.

Authors:  Dezhong Yao; Yangsong Zhang; Tiejun Liu; Peng Xu; Diankun Gong; Jing Lu; Yang Xia; Cheng Luo; Daqing Guo; Li Dong; Yongxiu Lai; Ke Chen; Jianfu Li
Journal:  Cogn Neurodyn       Date:  2020-03-17       Impact factor: 3.473

5.  BCI-Based Rehabilitation on the Stroke in Sequela Stage.

Authors:  Yangyang Miao; Shugeng Chen; Xinru Zhang; Jing Jin; Ren Xu; Ian Daly; Jie Jia; Xingyu Wang; Andrzej Cichocki; Tzyy-Ping Jung
Journal:  Neural Plast       Date:  2020-12-13       Impact factor: 3.599

6.  Evaluation of Real-Time Endogenous Brain-Computer Interface Developed Using Ear-Electroencephalography.

Authors:  Soo-In Choi; Ji-Yoon Lee; Ki Moo Lim; Han-Jeong Hwang
Journal:  Front Neurosci       Date:  2022-03-24       Impact factor: 4.677

7.  A systematic review of research on augmentative and alternative communication brain-computer interface systems for individuals with disabilities.

Authors:  Betts Peters; Brandon Eddy; Deirdre Galvin-McLaughlin; Gail Betz; Barry Oken; Melanie Fried-Oken
Journal:  Front Hum Neurosci       Date:  2022-07-27       Impact factor: 3.473

8.  Effects of Skin Friction on Tactile P300 Brain-Computer Interface Performance.

Authors:  Ying Mao; Jing Jin; Shurui Li; Yangyang Miao; Andrzej Cichocki
Journal:  Comput Intell Neurosci       Date:  2021-02-09

Review 9.  Biomedical signals and machine learning in amyotrophic lateral sclerosis: a systematic review.

Authors:  Felipe Fernandes; Ingridy Barbalho; Daniele Barros; Ricardo Valentim; César Teixeira; Jorge Henriques; Paulo Gil; Mário Dourado Júnior
Journal:  Biomed Eng Online       Date:  2021-06-15       Impact factor: 2.819

  9 in total

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