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Evaluating Brain-Computer Interface Performance in an ALS Population: Checkerboard and Color Paradigms
- Source :
- Clinical EEG and Neuroscience. 49:114-121
- Publication Year :
- 2017
- Publisher :
- SAGE Publications, 2017.
-
Abstract
- The objective of this study was to investigate the performance of 3 brain-computer interface (BCI) paradigms in an amyotrophic lateral sclerosis (ALS) population (n = 11). Using a repeated-measures design, participants completed 3 BCI conditions: row/column (RCW), checkerboard (CBW), and gray-to-color (CBC). Based on previous studies, it is hypothesized that the CBC and CBW conditions will result in higher accuracy, information transfer rate, waveform amplitude, and user preference over the RCW condition. An offline dynamic stopping simulation will also increase information transfer rate. Higher mean accuracy was observed in the CBC condition (89.7%), followed by the CBW (84.3%) condition, and lowest in the RCW condition (78.7%); however, these differences did not reach statistical significance ( P = .062). Eight of the eleven participants preferred the CBC and the remaining three preferred the CBW conditions. The offline dynamic stopping simulation significantly increased information transfer rate ( P = .005) and decreased accuracy ( P < .000). The findings of this study suggest that color stimuli provide a modest improvement in performance and that participants prefer color stimuli over monochromatic stimuli. Given these findings, BCI paradigms that use color stimuli should be considered for individuals who have ALS.
- Subjects :
- Adult
Male
medicine.medical_specialty
0206 medical engineering
Population
02 engineering and technology
Audiology
Electroencephalography
User-Computer Interface
03 medical and health sciences
0302 clinical medicine
Statistical significance
medicine
Humans
education
Brain–computer interface
Mathematics
education.field_of_study
medicine.diagnostic_test
Amyotrophic Lateral Sclerosis
General Medicine
Middle Aged
Event-Related Potentials, P300
020601 biomedical engineering
Neurology
Brain-Computer Interfaces
Checkerboard
Female
Neurology (clinical)
Photic Stimulation
030217 neurology & neurosurgery
Subjects
Details
- ISSN :
- 21695202 and 15500594
- Volume :
- 49
- Database :
- OpenAIRE
- Journal :
- Clinical EEG and Neuroscience
- Accession number :
- edsair.doi.dedup.....10efd175581367074b389d8568ece60e