Fully portable and wireless universal brain–machine interfaces enabled by flexible scalp electronics and deep learning algorithm

Variation in human brains creates difficulty in implementing electroencephalography into universal brain–machine interfaces. Conventional electroencephalography systems typically suffer from motion artefacts, extensive preparation time and bulky equipment, while existing electroencephalography class...

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Veröffentlicht in:Nature machine intelligence 2019-09, Vol.1 (9), p.412-422
Hauptverfasser: Mahmood, Musa, Mzurikwao, Deogratias, Kim, Yun-Soung, Lee, Yongkuk, Mishra, Saswat, Herbert, Robert, Duarte, Audrey, Ang, Chee Siang, Yeo, Woon-Hong
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Sprache:eng
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