Neural decoding of electrocorticographic signals using dynamic mode decomposition

Objective. Brain-computer interfaces (BCIs) using electrocorticographic (ECoG) signals have been developed to restore the communication function of severely paralyzed patients. However, the limited amount of information derived from ECoG signals hinders their clinical applications. We aimed to devel...

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Veröffentlicht in:	Journal of neural engineering 2020-06, Vol.17 (3), p.36009-036009
Hauptverfasser:	Shiraishi, Yoshiyuki, Kawahara, Yoshinobu, Yamashita, Okito, Fukuma, Ryohei, Yamamoto, Shota, Saitoh, Youichi, Kishima, Haruhiko, Yanagisawa, Takufumi
Format:	Artikel
Sprache:	eng
Schlagworte:	dynamic mode decomposition electrocorticography Grassmann kernel neural decoding principal angle
Online-Zugang:	Volltext
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