神经影像学
脑电图
可穿戴计算机
认知
计算机科学
心理学
神经科学
嵌入式系统
作者
Tim Mullen,Christian Kothe,Yu Mike,Alejandro Ojeda,Trevor Kerth,Scott Makeig,Tzyy‐Ping Jung,Gert Cauwenberghs
标识
DOI:10.1109/tbme.2015.2481482
摘要
This paper is the first validated application of these methods to 64-channel dry EEG. This study addresses a need for robust real-time measurement and interpretation of complex brain activity in the dynamic environment of the wearable setting. Such advances can have broad impact in research, medicine, and brain-computer interfaces. The pipelines are made freely available in the open-source SIFT and BCILAB toolboxes.
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