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基于惯性传感器的社区居住老年人短时间行走时空步态参数的可靠性。

Reliability of inertial sensor based spatiotemporal gait parameters for short walking bouts in community dwelling older adults.

机构信息

CeADAR - Centre for Applied Data Analytics, NexusUCD, Block 9/10 Belfield Office Park, Clonskeagh, Dublin, D04 V2N9, Ireland; Kinesis Health Technologies Ltd., NexusUCD, Block 9/10 Belfield Office Park, Clonskeagh, Dublin, D04 V2N9, Ireland; School of Public Health, Physiotherapy and Sports Science, University College Dublin, Belfield, Dublin, D04, Ireland.

Kinesis Health Technologies Ltd., NexusUCD, Block 9/10 Belfield Office Park, Clonskeagh, Dublin, D04 V2N9, Ireland.

出版信息

Gait Posture. 2021 Mar;85:1-6. doi: 10.1016/j.gaitpost.2021.01.010. Epub 2021 Jan 14.

Abstract

BACKGROUND

When performing quantitative analysis of gait in older adults we need to strike a balance between capturing sufficient data for reliable measurement and avoiding issues such as fatigue. The optimal bout duration is that which contains sufficient gait cycles to enable a reliable and representative estimate of gait performance.

RESEARCH QUESTION

How does the number of gait cycles in a walking bout influence reliability of spatiotemporal gait parameters measured using body-worn inertial sensors in a cohort of community dwelling older adults?

METHODS

One hundred and fifteen (115) community dwelling older adults executed three 30-metre walk trials in a single measurement session. Bilateral gait data were collected using two inertial sensors attached to each participant's right and left shank, and gait events detected from the medio-lateral angular velocity signal. The number of gait cycles selected from each walking trial was varied from 3 to 16. Intraclass correlation coefficients (ICC(2,k)) were calculated to evaluate the reliability of each spatiotemporal gait parameter according to the number of gait cycles included in the analysis.

RESULTS

The specified algorithm and the clipping procedure for extracting short bouts of gait data seem appropriate for assessing older adults, providing reliable spatiotemporal measures from three gait cycles (three strides per leg) and good reliability for most parameters describing gait variability and gait asymmetry after six gait cycles (six strides per leg).

SIGNIFICANCE

A combination of using bilateral sensor data and adaptive thresholds for gait event detection enable reliable measures of spatiotemporal gait parameters over short walking bouts (minimum six gait cycles) in community dwelling older adults. This opens new possibilities in the use of wearable sensors in gait assessment based on short walking tasks. We recommend the number of gait cycles should be reported along with the calculated measures as reference values.

摘要

背景

在对老年人进行步态定量分析时,我们需要在获取足够数据以进行可靠测量和避免疲劳等问题之间取得平衡。最佳的测试回合持续时间是包含足够的步态周期以可靠且有代表性地估计步态性能的时间。

研究问题

在一个社区居住的老年人群体中,行走回合中的步态周期数量如何影响使用佩戴式惯性传感器测量的时空步态参数的可靠性?

方法

115 名社区居住的老年人在单次测量会议中执行了三次 30 米的步行试验。通过将两个惯性传感器分别附着在每个参与者的右腿和左腿上,从侧向角速度信号中检测到步态事件,来收集双侧步态数据。从每个步行试验中选择的步态周期数量从 3 到 16 不等。根据分析中包含的步态周期数量,计算了组内相关系数(ICC(2,k)),以评估每个时空步态参数的可靠性。

结果

指定的算法和提取短步态数据回合的剪辑程序似乎适用于评估老年人,从三个步态周期(每条腿三个步)提供可靠的时空测量值,并且在六个步态周期(每条腿六个步)之后,大多数描述步态变异性和步态不对称性的参数具有良好的可靠性。

意义

使用双侧传感器数据和自适应步态事件检测阈值的组合,可以在社区居住的老年人中进行短步行回合(至少六个步态周期)的可靠时空步态参数测量。这为基于短步行任务的可穿戴传感器在步态评估中的使用开辟了新的可能性。我们建议应随计算出的测量值一起报告步态周期的数量,作为参考值。

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