Literature DB >> 34184974

Evaluating the perspectives of those with severe physical impairments while learning BCI control of a commercial augmentative and alternative communication paradigm.

Kevin M Pitt1, Jonathan S Brumberg2.   

Abstract

Augmentative and alternative communication (AAC) techniques can provide access to communication for individuals with severe physical impairments. Brain-computer interface (BCI) access techniques may serve alongside existing AAC access methods to provide communication device control. However, there is limited information available about how individual perspectives change with motor-based BCI-AAC learning. Four individuals with ALS completed 12 BCI-AAC training sessions in which they made letter selections during an automatic row-column scanning pattern via a motor-based BCI-AAC. Recurring measures were taken before and after each BCI-AAC training session to evaluate changes associated with BCI-AAC performance, and included measures of fatigue, frustration, mental effort, physical effort, device satisfaction, and overall ease of device control. Levels of pre- to post-fatigue were low for use of the BCI-AAC system. However, participants indicated different perceptions of the term fatigue, with three participants discussing fatigue to be generally synonymous with physical effort, and one mental effort. Satisfaction with the BCI-AAC system was related to BCI-AAC performance for two participants, and levels of frustration for two participants. Considering a range of person-centered measures in future clinical BCI-AAC applications is important for optimizing and standardizing BCI-AAC assessment procedures.

Entities:  

Keywords:  amyotrophic lateral sclerosis; augmentative and alternative communication; brain–computer interface; fatigue; perspectives; satisfaction

Year:  2021        PMID: 34184974      PMCID: PMC8742840          DOI: 10.1080/10400435.2021.1949405

Source DB:  PubMed          Journal:  Assist Technol        ISSN: 1040-0435


  35 in total

1.  Regularizing common spatial patterns to improve BCI designs: unified theory and new algorithms.

Authors:  Fabien Lotte; Cuntai Guan
Journal:  IEEE Trans Biomed Eng       Date:  2010-09-30       Impact factor: 4.538

2.  The Wadsworth BCI Research and Development Program: at home with BCI.

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Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2006-06       Impact factor: 3.802

Review 3.  Performance variation in motor imagery brain-computer interface: a brief review.

Authors:  Minkyu Ahn; Sung Chan Jun
Journal:  J Neurosci Methods       Date:  2015-02-08       Impact factor: 2.390

4.  Clinical Applications of Brain-Computer Interfaces: Current State and Future Prospects.

Authors:  Joseph N Mak; Jonathan R Wolpaw
Journal:  IEEE Rev Biomed Eng       Date:  2009

5.  Towards a holistic assessment of the user experience with hybrid BCIs.

Authors:  Romy Lorenz; Javier Pascual; Benjamin Blankertz; Carmen Vidaurre
Journal:  J Neural Eng       Date:  2014-05-19       Impact factor: 5.379

6.  Performance of the Amyotrophic Lateral Sclerosis Functional Rating Scale (ALSFRS) in multicenter clinical trials.

Authors:  J M Cedarbaum; N Stambler
Journal:  J Neurol Sci       Date:  1997-10       Impact factor: 3.181

7.  What would brain-computer interface users want? Opinions and priorities of potential users with amyotrophic lateral sclerosis.

Authors:  Jane E Huggins; Patricia A Wren; Kirsten L Gruis
Journal:  Amyotroph Lateral Scler       Date:  2011-05-02

8.  The correlation between motor impairments and event-related desynchronization during motor imagery in ALS patients.

Authors:  Takashi Kasahara; Kentaro Terasaki; Yuki Ogawa; Junichi Ushiba; Harumichi Aramaki; Yoshihisa Masakado
Journal:  BMC Neurosci       Date:  2012-06-15       Impact factor: 3.288

9.  A comparison of two spelling Brain-Computer Interfaces based on visual P3 and SSVEP in Locked-In Syndrome.

Authors:  Adrien Combaz; Camille Chatelle; Arne Robben; Gertie Vanhoof; Ann Goeleven; Vincent Thijs; Marc M Van Hulle; Steven Laureys
Journal:  PLoS One       Date:  2013-09-25       Impact factor: 3.240

10.  Control beliefs can predict the ability to up-regulate sensorimotor rhythm during neurofeedback training.

Authors:  Matthias Witte; Silvia Erika Kober; Manuel Ninaus; Christa Neuper; Guilherme Wood
Journal:  Front Hum Neurosci       Date:  2013-08-15       Impact factor: 3.169

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  1 in total

1.  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

  1 in total

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