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相关实验视频

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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
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基于深度摄像头的静态姿势评估系统的设计和验证.

Qingjun Xing1, Ruiwei Hong2, Yuanyuan Shen2

  • 1School of Sport Science, Beijing Sport University, Beijing 100084, China.

iScience
|October 9, 2023
PubMed
概括

一个新的深度摄像头系统为各种疾病 (如脊椎病和骨盆倾斜) 提供准确且负担得起的静态姿势评估. 这种易于使用的工具有助于在所有年龄段早期检测和纠正姿势异常.

科学领域:

  • 生物医学工程 生物医学工程
  • 临床生物力学 临床生物力学
  • 医疗成像医学成像

背景情况:

  • 姿势异常越来越常见,影响所有年龄段的人的生活质量.
  • 早期检测和干预对于管理姿势偏差至关重要.
  • 需要可访问和可靠的姿势评估工具来进行广泛的查.

研究的目的:

  • 开发和验证一个具有成本效益的,基于深度摄像头的系统,用于静态姿势评估.
  • 选常见的姿势异常,包括不平衡的肩膀,骨盆倾斜,脊椎病等.
  • 为了评估系统的准确性和精度与黄金标准的运动捕捉系统.

主要方法:

  • 使用了Azure Kinect深度摄像头,与笔记本电脑上的评估软件集成.
  • 开发了测量骨对齐和关键姿势指数的算法.
  • 与黄金标准的光学红外运动捕捉系统进行了系统测量比较.

主要成果:

  • 该系统准确地测量了骨和姿势指数.
  • 与黄金标准的运动捕捉系统表现出有利的协议.
  • 该系统被证明是一个低成本,高精度和准确的姿势评估工具.
关键词:
计算机科学 计算机科学工程 工程师 工程师 工程师运动医学运动医学

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结论:

  • 开发的深度摄像头系统适合初步查姿势异常.
  • 它提供了一个可靠和可访问的解决方案,用于识别偏差,如脊椎病和骨盆倾斜.
  • 该系统支持在不同人群中早期发现和管理与姿势相关的问题.