Continuous use of ERP-based BCIs with different visual angles in ALS patients
Jing Jin, Brendan Z. Allison, Yu Zhang, Yan Chen, Sijie Zhou, Yi Dong,, Xingyu Wang, Andrzej Chchocki

TL;DR
This study evaluates the continuous use of ERP-based BCIs with different visual angles in ALS patients, showing effective spelling and reduced fatigue with a larger visual angle paradigm.
Contribution
Introduces a new large visual angle speller paradigm that reduces fatigue without compromising accuracy in ALS patients.
Findings
No significant accuracy difference between paradigms
LS-P reduces fatigue compared to MS-P
Most patients achieved over 80% accuracy
Abstract
Objective: Amyotrophic lateral sclerosis (ALS) is a rare disease, but is also one of the most common motor neuron diseases, and people of all races and ethnic backgrounds are affected. There is currently no cure. Brain computer interfaces (BCIs) can establish a communication channel directly between the brain and an external device by recognizing brain activities that reflect user intent. Therefore, this technology could help ALS patients in promoting functional independence through BCI-based speller systems and motor assistive devices. Methods: In this paper, two kinds of ERP-based speller systems were tested on 18 ALS patients to: (1) assess performance when they spelled 42 characters online continuously, without a break; and (2) to compare performance between a matrix-based speller paradigm (MS-P, mean visual angle 6 degree) and a new speller paradigm that used a larger visual angle…
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Taxonomy
TopicsEEG and Brain-Computer Interfaces · Neuroscience and Neural Engineering · Muscle activation and electromyography studies
