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%.
In this paper, an asynchronous brain-computer interface (BCI) system combining the P300 and steady-state visually evoked potentials (SSVEPs) paradigms is proposed. The information transfer is accomplished using P300 event-related potential paradigm and the control state (CS) detection is achieved using SSVEP, overlaid on the P300 base system. Offline and online experiments have been performed with ten subjects to validate the proposed system. It is shown to achieve fast and accurate CS detection without significantly compromising the performance. In online experiments, the system is found to be capable of achieving an average data transfer rate of 19.05 bits/min, with CS detection accuracy of about 88%.
Panicker et al. (Fri,) reported a other. 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%.