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Updated: Jan 7, 2026

Measurement of Dynamic Scapular Kinematics Using an Acromion Marker Cluster to Minimize Skin Movement Artifact
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Measurement of Dynamic Scapular Kinematics Using an Acromion Marker Cluster to Minimize Skin Movement Artifact

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基于机器学习的非特异性部疼痛的分类,使用脚上方旋转的运动轨迹

Ui-Jae Hwang1,2, Il-Kyu Ahn2, Yoon-Ji Lee2

  • 1Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hung Hom, Hong Kong SAR, China.

Digital health
|December 31, 2025
PubMed
概括

机器学习可以准确地预测非特异性部疼痛 (NSNP) 使用头骨上方旋转 (SUR) 模式. 这项研究确定了与较低NSNP风险相关的特定运动参数,提供了新的临床见解.

关键词:
机器学习是机器学习.动力学是动力学.无特异性的部疼痛和部疼痛.部分依赖情节的情节.头巾上方旋转向上的旋转.运行轨迹分析的方法

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