A coarse-to-fine adaptive spatial–temporal graph convolution network with residuals for motor imagery decoding from the same limb

•A novel coarse-to-fine classification approach is proposed to decode MI tasks of the same upper limb.•A adaptive spatial–temporal graph convolutional network with residuals approach is proposed to extract spatial–temporal features.•Various classification models are applied to different classificati...

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Veröffentlicht in:	Biomedical signal processing and control Jg. 90; S. 105885
Hauptverfasser:	Zhu, Lei, Yuan, Jie, Huang, Aiai, Zhang, Jianhai
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.04.2024
Schlagworte:	Adaptive spatial–temporal graph convolutional network Brain Computer Interface(BCI) Coarse-to-fine classification approach Different joints of the same limb Motor Imagery (MI) Motor Imagery (MI) Adaptive spatial–temporal graph convolutional network Brain Computer Interface(BCI) Coarse-to-fine classification approach Different joints of the same limb
ISSN:	1746-8094, 1746-8108
Online-Zugang:	Volltext
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