A fused biometrics information graph convolutional neural network for effective classification of patellofemoral pain syndrome

• Published in: Frontiers in neuroscience Vol. 16; p. 976249
• Main Authors: Xiong, Baoping, OuYang, Yaozong, Chang, Yiran, Mao, Guoju, Du, Min, Liu, Bijing, Xu, Yong
• Format: Journal Article
• Language: English
• Published: Frontiers Media S.A 29.07.2022
• Subjects: auxiliary diagnostic; fuse biometrics; graph convolutional neural network; Neuroscience; patellofemoral pain syndrome; semi-supervised classification

Patellofemoral pain syndrome (PFPS) is a common, yet misunderstood, knee pathology. Early accurate diagnosis can help avoid the deterioration of the disease. However, the existing intelligent auxiliary diagnosis methods of PFPS mainly focused on the biosignal of individuals but neglected the common...