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使用 Microsoft Kinect 对年轻和老年人群进行静态和动态平衡评估的验证。

Validation of Static and Dynamic Balance Assessment Using Microsoft Kinect for Young and Elderly Populations.

出版信息

IEEE J Biomed Health Inform. 2018 Jan;22(1):147-153. doi: 10.1109/JBHI.2017.2686330. Epub 2017 Mar 22.

Abstract

Reduction in balance is an indicator of fall risk, and therefore, an accurate and cost-effective balance assessment tool is essential for prescribing effective postural control strategies. This study established the validity of the Kinect v2 sensor in assessing center of mass (CoM) excursion and velocity during single-leg balance and voluntary ankle sway tasks among young and elderly subjects. We compared balance outcome measures (anteroposterior (AP) and mediolateral (ML) CoM excursion and velocity and average sway length) to a traditional three-dimensional motion analysis system. Twenty subjects (10 young: age = y, height cm, weight kg; 10 elderly: age y, height cm, weight kg), with no history of lower extremity injury, participated in this study. Subjects performed six randomized trials; four single-leg stand (SLS) and two ankle sway trials. SLS and voluntary ankle sway trials showed that consistency (ICC(2, k)) and agreement (ICC(3, k)) for all variables when all subjects were considered, as well as when the elderly and young groups were analyzed separately. Concordance between systems ranged from poor to nearly perfect depending on the group, task, and variable assessed.

摘要

平衡能力下降是跌倒风险的一个指标,因此,准确且具有成本效益的平衡评估工具对于制定有效的姿势控制策略至关重要。本研究旨在确定 Kinect v2 传感器在评估单腿平衡和自愿踝关节摆动任务中老年人和年轻人的质心(CoM)偏移和速度方面的有效性。我们将平衡结果测量(前后(AP)和左右(ML)CoM 偏移和速度以及平均摆动长度)与传统的三维运动分析系统进行了比较。20 名受试者(10 名年轻人:年龄=y,身高 cm,体重 kg;10 名老年人:年龄 y,身高 cm,体重 kg),无下肢损伤史,参加了这项研究。受试者进行了六次随机试验;四个单腿站立(SLS)和两个踝关节摆动试验。当考虑所有受试者以及老年人和年轻人组分别分析时,所有变量的一致性(ICC(2,k))和一致性(ICC(3,k)),以及 SLS 和自愿踝关节摆动试验,均表明,根据组、任务和评估变量,系统之间的一致性从差到几乎完美不等。

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