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相关实验视频

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基于深度摄像头的Web应用程序的开发和可用性测试,用于功能相关的脚动力学分析.

Fitri Anestherita1,2, Angela B M Tulaar2, Maria Regina Rachmawati2

  • 1Doctoral Program in Medical Sciences, Faculty of Medicine, Universitas Indonesia, Dr. Cipto Mangunkusumo National General Hospital, Jakarta, Indonesia.

Frontiers in medical technology
|October 20, 2025
PubMed
概括

使用深度摄像头的新工具KineFeet有效地分析了脚的运动. 初步测试显示了良好的可用性和用户满意度,表明在评估足部动力学方面临床使用的潜力.

关键词:
临床可用性 临床可用性深度摄像机的深度摄像机足部运动学 足部运动学步态分析 步态分析肌肉骨生物机械学网络应用程序 网络应用程序

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科学领域:

  • 生物力学 生物力学
  • 医学技术 医学技术 医学技术

背景情况:

  • 功能性脚动力学分析对于诊断和治疗各种肌肉骨疾病至关重要.
  • 目前用于评估脚动力学的方法可能昂贵,耗时,或缺乏临床相关性.

研究的目的:

  • 开发和评估KineFeet,这是一款新,价格合理,临床相关的基于Web的工具,用于使用深度摄像头分析功能性足部动力学.
  • 评估KineFeet原型在临床环境中的可用性和性能.

主要方法:

  • KineFeet使用Azure Kinect DK摄像头实时分析斜脚和正面平脚的运动.
  • 一项可用性研究涉及五名物理医生,他们用KineFeet原型评估了脚动力学.
  • 性能指标包括任务完成成功,错误率,时间和用户满意度通过系统可用性量表 (SUS).

主要成果:

  • 物理医师的任务完成成功率为96.29%,错误率低 (0.074%).
  • 平均任务完成时间为10分11秒.
  • 系统可用性量表 (SUS) 的平均得分为66.5,表明用户满意度和接受度很好.

结论:

  • KineFeet显示出作为一种用于评估功能脚动力学的创新工具的巨大潜力.
  • 该系统具有强大的可用性,并在进一步开发后有望获得更广泛的临床采用.