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Updated: Feb 15, 2026

3D Kinematic Gait Analysis for Preclinical Studies in Rodents
10:19

3D Kinematic Gait Analysis for Preclinical Studies in Rodents

Published on: August 3, 2019

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使用深度学习和合成数据集从单个惯性测量单元预测人类步态动力学和动力学:一个盲目的评估研究

Metin Bicer1, Andrew Tm Phillips2, Oğuz Faik Seven3

  • 1Department of Civil and Environmental Engineering, Imperial College London, London, UK; Institute of Informatics, Hacettepe University, Ankara, Türkiye; Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK.

Journal of biomechanics
|February 13, 2026
PubMed
概括

在模拟惯性测量单元 (IMU) 数据上训练的神经网络 (NN) 能够很好地预测关节运动,但实际性能需要微调. 用实际的IMU数据进行盲目测试和再培训对于准确的生物力学应用至关重要.

关键词:
盲目的评估是盲目的评估.步行方式 步行方式惯性测量单位是一种惯性测量单位.合成摩卡普的数据集.

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Substantiating Appropriate Motion Capture Techniques for the Assessment of Nordic Walking Gait and Posture in Older Adults09:37

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