کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4961095 1446508 2017 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
The Distribution of Classification Accuracy Over the Whole Head for a Steady State Visual Evoked Potential Based Brain-computer Interface
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر علوم کامپیوتر (عمومی)
پیش نمایش صفحه اول مقاله
The Distribution of Classification Accuracy Over the Whole Head for a Steady State Visual Evoked Potential Based Brain-computer Interface
چکیده انگلیسی

Brain-computer interfaces (BCIs) system designed using the steady-state visual evoked potential (SSVEP) signal have been widely studied because of their high accuracy of classification and high rates of the information transfer. However, the SSVEP is typically measured over the occipital scalp region (channels O1, O2, and Oz), which makes this type of BCI unsuitable for some patients. We investigated the classification accuracy of SSVEP over the whole scalp, to evaluate the feasibility of building SSVEP-based BCIs that use additional channels. The classification accuracy distribution of the whole scalp increased with the electrode positions closer to the occipital region, and the classification accuracy increased with an increasing number of electroencephalogram data channels.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Procedia Computer Science - Volume 107, 2017, Pages 389-394
نویسندگان
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