Using Diagonal Recurrent Neural Network for an Accurate P300 Detetcion
Publish place: 13th Iranian conference on Biomedical Engineering
Publish Year: 1385
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
ICBME13_028
تاریخ نمایه سازی: 31 خرداد 1387
Abstract:
Finding a reliable BCI system to provide an accurate discrimination between different states of the brain
activity is one of the most important studies in biomedical researches. A common approach in BCI systems is to use ERP components; like P300, as a tool for receiving the commands from a subject. So the BCI system design will reduce to ERP component detection task. In this study, a new artificial neural network based on neuronal recurrency will be used to detect P300. Compared with some other ANN- based classifiers, this technique yields a good accuracy for this special task
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