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P300-Based Brain-Computer Interface Speller Performance Estimation with Classifier-Based Latency Estimation
Published on: September 8, 2023
Operation of a P300-based brain-computer interface by patients with spinocerebellar ataxia
Yoji Okahara1,2, Kouji Takano1, Tetsuo Komori3
1Systems Neuroscience Section, Department of Rehabilitation for Brain Functions, Research Institute of National Rehabilitation for Persons with Disabilities, Tokorozawa, Saitama 359-8555, Japan.
Objective:
We investigated the efficacy of a P300-based brain-computer interface (BCI) for patients with spinocerebellar ataxia (SCA), which is often accompanied by cerebellar impairment.
Methods:
Eight patients with SCA and eight age- and gender-matched healthy controls were instructed to input Japanese hiragana characters using the P300-based BCI with green/blue flicker. All patients depended on some assistance in their daily lives (modified Rankin scale: mean 3.5). The chief symptom was cerebellar ataxia; no cognitive deterioration was present. A region-based, two-step P300-based BCI was used. During the P300 task, eight-channel EEG data were recorded, and a linear discriminant analysis distinguished the target from other nontarget regions of the matrix.
Results:
The mean online accuracy in BCI operation was 82.9% for patients with SCA and 83.2% for controls; no significant difference was detected.
Conclusion:
The P300-based BCI was operated successfully not only by healthy controls but also by individuals with SCA.
Significance:
These results suggest that the P300-based BCI may be applicable for patients with SCA.
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