Key result
An asynchronous brain-computer interface system combining P300 and SSVEP paradigms achieved an average data transfer rate of 19.05 bits/min with a control state detection accuracy of about 88%.
Population
10 subjects participating in offline and online experiments
Design
Other
Authors
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May support hybrid BCI development for assistive control; leaves open clinical validation in target populations.
A novel asynchronous BCI system combining P300 and SSVEP paradigms achieved fast and accurate control state detection with an average data transfer rate of 19.05 bits/min.
Panicker et al. (2011) studied this question. Asynchronous brain-computer interface (BCI) system combining P300 and SSVEP paradigms was evaluated on Control state (CS) detection accuracy and data transfer rate. An asynchronous brain-computer interface system combining P300 and SSVEP paradigms achieved an average data transfer rate of 19.05 bits/min with a control state detection accuracy of about 88%.
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