Towards an Automated Unsupervised Mobility Assessment for Older People Based on Inertial TUG Measurements.
Towards an Automated Unsupervised Mobility Assessment for Older People Based on Inertial TUG Measurements.
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DOI：
10.3390/s18103310
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发表时间：
2018-10-02
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影响因子：
--
通讯作者：
Fudickar S
中科院分区：
文献类型：
--
作者：
Hellmers S;Izadpanah B;Dasenbrock L;Diekmann R;Bauer JM;Hein A;Fudickar S
对老年人行动能力最常见的评估之一是“计时起来和走”测试（TUG）。由于其对帕金森病（PD）的适应症或老年人跌倒风险增加的敏感性，这种评估测试变得越来越重要，应该自动化，应该适用于无监督的自我评估，以便定期检查功能状态。由于惯性测量单元（IMU）非常适合自动化分析，我们评估了基于IMU的分析系统，该系统通过机器学习自动检测TUG执行并计算测试持续时间。以及它的单个组件的持续时间。在一项研究中，157名年龄超过70岁的参与者通过基于规则的模型对完整的TUG进行了分类，准确率为96%。由IMU和标准测量（秒表和自动/环境TUG （aTUG）系统）测定的TUG持续时间之间的比较显示，相关性分别为0.97和0.99。仪器化TUG （iTUG）组件的分类也达到了96%以上的精度。此外，在半无监督的情况下，对系统的自评估适用性进行了调查，在这种情况下，执行了与TUG类似的运动序列。初步分析证实，自选转速与试验工况下的转速存在适度的相关关系，但两者之间存在显著差异。
One of the most common assessments for the mobility of older people is the Timed Up and Go test (TUG). Due to its sensitivity regarding the indication of Parkinson’s disease (PD) or increased fall risk in elderly people, this assessment test becomes increasingly relevant, should be automated and should become applicable for unsupervised self-assessments to enable regular examinations of the functional status. With Inertial Measurement Units (IMU) being well suited for automated analyses, we evaluate an IMU-based analysis-system, which automatically detects the TUG execution via machine learning and calculates the test duration. as well as the duration of its single components. The complete TUG was classified with an accuracy of 96% via a rule-based model in a study with 157 participants aged over 70 years. A comparison between the TUG durations determined by IMU and criterion standard measurements (stopwatch and automated/ambient TUG (aTUG) system) showed significant correlations of 0.97 and 0.99, respectively. The classification of the instrumented TUG (iTUG)-components achieved accuracies over 96%, as well. Additionally, the system’s suitability for self-assessments was investigated within a semi-unsupervised situation where a similar movement sequence to the TUG was executed. This preliminary analysis confirmed that the self-selected speed correlates moderately with the speed in the test situation, but differed significantly from each other.
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