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使用开源云支持的平台进行病态步行分析,该平台由半监督学习-PathoOpenGait授权.

Ming-Yang Ho, Ming-Che Kuo, Ciao-Sin Chen

    IEEE journal of biomedical and health informatics
    |December 8, 2023
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    此摘要是机器生成的。

    PathoOpenGait提供了一个新的,开源的云平台,用于负担得起的步态分析,这对于帕金森氏症等神经退行性疾病至关重要. 该系统提供精确的步态参数监测,以改善患者护理和临床研究.

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    科学领域:

    • 生物医学工程 生物医学工程
    • 临床神经学 临床神经学
    • 计算科学 计算科学

    背景情况:

    • 步态评估对于诊断和监测神经退行性疾病至关重要.
    • 目前的步态分析方法缺乏负担能力和效率.
    • 需要可访问,准确的工具,以持续监测患者.

    研究的目的:

    • 介绍PathoOpenGait,这是一个基于云的平台,用于全面的步态分析.
    • 开发和验证准确的步态参数估计的算法.
    • 在帕金森病患者中证明临床适用性.

    主要方法:

    • 利用来自双眼3D摄像机的2D和3D数据.
    • 雇员半监督学习增强的神经网络用于轮班时间估计.
    • 应用确定性算法用于步态参数计算.
    • 在注释的步态记录和临床患者数据上验证的算法.

    主要成果:

    • 在步态参数估计中实现了高精度和一致性.
    • 成功证明了平台在分析帕金森病患者的步态试验中的实用性.
    • PathoOpenGait提供了一个用户友好的界面,用于持续监控.

    结论:

    • PathoOpenGait是第一个开源的,基于云的步态分析系统.
    • 为临床医生和患者提供一个具有成本效益和可访问的解决方案.
    • 它有可能在神经退行性疾病管理中彻底改变步态评估.