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Asynchronous P300-based brain-computer interfaces: a computational approach with statistical models.

Haihong Zhang1, Cuntai Guan, Chuanchu Wang

  • 1Institute for Infocomm Research, Agency for Science, Technology and Research, Singapore 119613, Singapore. hhzhang@i2r.a-star.edu.sg

IEEE Transactions on Bio-Medical Engineering
|August 22, 2008
PubMed
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This study introduces a new computational method for robust asynchronous brain-computer interfaces (BCIs) using electroencephalogram (EEG) signals. The novel approach effectively detects user intent and commands in real-time, achieving high performance in online tests.

Failed At:

2026-06-19T13:36:13.649859+00:00

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