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Reliability of inertial sensor based spatiotemporal gait parameters for short walking bouts in community dwelling older adults
Gait & Posture ( IF 2.4 ) Pub Date : 2021-01-14 , DOI: 10.1016/j.gaitpost.2021.01.010
Lilian Genaro Motti Ader 1 , Barry R Greene 2 , Killian McManus 3 , Brian Caulfield 4
Affiliation  

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.



中文翻译:

基于惯性传感器的时空步态参数在社区居民老年人中短时步行的可靠性

背景

在对老年人的步态进行定量分析时,我们需要在获取足够的数据以进行可靠测量和避免疲劳等问题之间取得平衡。最佳的回合持续时间是包含足够的步态周期的时间,以能够对步态性能进行可靠且有代表性的估计。

研究问题

步行回合中的步态周期数如何影响在社区居住的老年人群中使用穿戴式惯性传感器测量的时空步态参数的可靠性?

方法

一百一十五(115)个居住在社区的老年人在一次测量中执行​​了三个30米长的步行试验。使用连接到每个参与者的右,左胫骨上的两个惯性传感器收集双侧步态数据,并从中外侧角速度信号中检测到步态事件。从每个步行试验中选择的步态周期数从3改变为16。计算类内相关系数(ICC(2,k))以根据分析中包括的步态周期数评估每个时空步态参数的可靠性。 。

结果

用于提取步态数据短周期的指定算法和剪切程序似乎适合评估老年人,提供三个步态周期(每条腿三个步幅)的可靠时空测量,并且对于描述步态变异性和步态不对称性的大多数参数都具有良好的可靠性。循环(每条腿六个步幅)。

意义

结合使用双边传感器数据和自适应阈值进行步态事件检测,可以在居住在社区的老年人中,通过短暂的步行(至少六个步态周期)可靠地测量时空步态参数。这为基于短步行任务的步态评估中可穿戴式传感器的使用开辟了新的可能性。我们建议应报告步态周期数以及计算出的测量值作为参考值。

更新日期:2021-01-24
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