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Updated: Jul 26, 2025

Sit-to-stand-and-walk from 120% Knee Height: A Novel Approach to Assess Dynamic Postural Control Independent of Lead-limb
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Sit-to-stand-and-walk from 120% Knee Height: A Novel Approach to Assess Dynamic Postural Control Independent of Lead-limb

Published on: August 30, 2016

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用简单的受试者特征和神经网络预测膝关节分区负荷最大值

Jere Lavikainen1, Lauri Stenroth2, Tine Alkjær3,4

  • 1Department of Technical Physics, University of Eastern Finland, Kuopio, Finland. jere.lavikainen@uef.fi.

Annals of biomedical engineering
|June 19, 2023
PubMed
概括

人工神经网络 (ANN) 可以在没有运动实验室的情况下预测膝关节关节负荷. 这简化了对骨关节炎管理和患者康复的联合力量的估计.

关键词:
人工神经网络的人工神经网络分区式装载 进行分区式装载接触部队接触部队步态分析 步态分析膝关节:膝关节的关节是指膝关节的关节.膝关节骨关节炎是一种关节炎.开放Sim是开放的

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