Application of Graph Spatio-Temporal Convolutional Neural Network in Motor Intention Recognition of Stroke Patients

ObjectiveTo evaluate the decoding accuracy and model performance of a graph spatio-temporal convolutional neural network (G-STCNN) in motor intention recognition of stroke patients.MethodsWe developed a novel G-STCNN model by integrating graph convolution and spatio-temporal convolution modules to s...

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Hlavní autoři:	XU Hui, MA Jun, ZHANG Jingjing, ZHANG Tao, ZHAO Zhiwei, SHAN Chunlei
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Editorial Office of Rehabilitation Medicine 2025-08-01
Edice:	康复学报
Témata:	stroke motor dysfunction electroencephalography motor intention recognition deep learning graph spatio-temporal convolutional neural network
On-line přístup:	http://kfxb.publish.founderss.cn/thesisDetails#10.3724/SP.J.1329.2025.04006
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