Evaluating person-centered factors associated with brain–computer interface access to a commercial augmentative and alternative communication paradigm.
Current BCI-AAC systems largely utilize custom-made software and displays that may be unfamiliar to AAC stakeholders. Further, there is limited information available exploring the heterogenous profiles of individuals who may use BCI-AAC. Therefore, in this study, we aimed to evaluate how individuals...
| Publicado en: | Assistive Technology Vol. 34; no. 4; pp. 468 - 478 |
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| Autores principales: | , |
| Formato: | pictorial research tables/charts Journal Article |
| Publicado: |
Taylor & Francis Ltd
2022
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=158145114&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 158145114 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10400435 YVP jtl: Assistive Technology issn: 10400435 maglogo: Y pubinfo: dt: 2022 vid: 34 iid: 4 pid: 377 pub: Taylor & Francis Ltd place: Philadelphia, Pennsylvania artinfo: ui: 158145114 149085502 151151326 158145114 158145114 10.1080/10400435.2021.1872737 158145114 ppf: 468 ppct: 10 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Evaluating person-centered factors associated with brain–computer interface access to a commercial augmentative and alternative communication paradigm. aug: au: Pitt, Kevin M. Brumberg, Jonathan S. affil: Department of Special Education and Communication Disorders, University of Nebraska–Lincoln, Lincoln, Nebraska, USA sug: subj: Alternative and Augmentative Communication Brain-Computer Interfaces Amyotrophic Lateral Sclerosis Diagnosis Communication Aids for Persons with Disabilities Human Cognition Motor Skills Fatigue Motivation Cognition Disorders Funding Source Descriptive Statistics Adult Middle Age Female Male Electroencephalography Adult: 19-44 years Middle Aged: 45-64 years Female Male ab: Current BCI-AAC systems largely utilize custom-made software and displays that may be unfamiliar to AAC stakeholders. Further, there is limited information available exploring the heterogenous profiles of individuals who may use BCI-AAC. Therefore, in this study, we aimed to evaluate how individuals with amyotrophic lateral sclerosis (ALS) learned to control a motor-based BCI switch in a row-column AAC scanning pattern, and person-centered factors associated with BCI-AAC performance. Four individuals with ALS completed 12 BCI-AAC training sessions, and three individuals without neurological impairment completed 3 BCI-AAC training sessions. To assess person-centered factors associated with BCI-AAC performance, participants completed both initial and recurring assessment measures including levels of cognition, motor ability, fatigue, and motivation. Three of four participants demonstrated either BCI-AAC performance in the range of neurotypical peers, or an improving BCI-AAC learning trajectory. However, BCI-AAC learning trajectories were variable. Assessment measures revealed that two participants presented with a suspicion for cognitive impairment yet achieved the highest levels of BCI-AAC accuracy with their increased levels of performance being possibly supported by largely unimpaired motor skills. Motor-based BCI switch access to a commercial AAC row-column scanning may be feasible for individuals with ALS and possibly supported by timely intervention. pubtype: Academic Journal doctype: pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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