Gaussian Process Autoregression for Joint Angle Prediction Based on sEMG Signals

There is uncertainty in the neuromusculoskeletal system, and deterministic models cannot describe this significant presence of uncertainty, affecting the accuracy of model predictions. In this paper, a knee joint angle prediction model based on surface electromyography (sEMG) signals is proposed. To...

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Veröffentlicht in:Front Public Health
Hauptverfasser: Liang, Jie, Shi, Zhengyi, Zhu, Feifei, Chen, Wenxin, Chen, Xin, Li, Yurong
Format: Artigo
Sprache:Inglês
Veröffentlicht: Frontiers Media S.A. 2021
Schlagworte:
Public Health
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC8175857/
https://ncbi.nlm.nih.gov/pubmed/34095080
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fpubh.2021.685596
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