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首页> 外文期刊>Gait & posture >Trunk-acceleration based assessment of gait parameters in older persons: A comparison of reliability and validity of four inverted pendulum based estimations
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Trunk-acceleration based assessment of gait parameters in older persons: A comparison of reliability and validity of four inverted pendulum based estimations

机译:基于躯干加速的老年人步态参数评估:四种基于倒立摆的估计的信度和效度比较

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摘要

Inverted pendulum (IP) models of human walking allow for wearable motion-sensor based estimations of spatio-temporal gait parameters during unconstrained walking in daily-life conditions. At present it is unclear to what extent different IP based estimations yield different results, and reliability and validity have not been investigated in older persons without a specific medical condition. The aim of this study was to compare reliability and validity of four different IP based estimations of mean step length in independent-living older persons. Participants were assessed twice and walked at different speeds while wearing a tri-axial accelerometer at the lower back. For all step-length estimators, test-retest intra-class correlations approached or were above 0.90. Intra-class correlations with reference step length were above 0.92 with a mean error of 0.0. cm when (1) multiplying the estimated center-of-mass displacement during a step by an individual correction factor in a simple IP model, or (2) adding an individual constant for bipedal stance displacement to the estimated displacement during single stance in a 2-phase IP model. When applying generic corrections or constants in all subjects (i.e. multiplication by 1.25, or adding 75% of foot length), correlations were above 0.75 with a mean error of respectively 2.0 and 1.2. cm. Although the results indicate that an individual adjustment of the IP models provides better estimations of mean step length, the ease of a generic adjustment can be favored when merely evaluating intra-individual differences. Further studies should determine the validity of these IP based estimations for assessing gait in daily life.
机译:人体步行的倒立摆(IP)模型允许在日常生活中不受约束的步行过程中基于可穿戴运动传感器的时空步态参数估计。目前,尚不清楚在何种程度上基于IP的不同估计会得出不同的结果,并且尚未针对没有特定医疗条件的老年人研究可靠性和有效性。本研究的目的是比较独立生活的老年人中四种基于IP的平均步长估计值的可靠性和有效性。参与者进行了两次评估,并在后腰佩戴三轴加速度计,并以不同的速度行走。对于所有步长估计量,重新测试类内相关性接近或高于0.90。类内与参考步长的相关性高于0.92,平均误差为0.0。 cm(1)在步骤中将估计的质心位移乘以简单IP模型中的单个校正因子,或(2)将两足姿势位移的单个常数与2中单步姿势的估计位移相加相IP模型。当在所有受试者中应用通用校正或常数时(即乘以1.25,或增加脚长的75%),相关系数均高于0.75,平均误差分别为2.0和1.2。厘米。尽管结果表明对IP模型的单独调整可以更好地估计平均步长,但仅评估个体内部差异时,一般调整的简便性可能会得到支持。进一步的研究应确定这些基于IP的评估在评估步态时的有效性。

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