Pressure Beneath the Foot for Older Adults Using an Improved Approach

K. Al-Daffaie, A. Chong, Zahra Gharineiat
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Abstract

A new methodology is suggested in this research to investigate some parameters of the pressure beneath the foot of healthy older adults. Using such methodology helps to accomplish human gait analysis in more efficient way. It allows reduction the resources, such as time, cost and efforts, required by the commonly used approaches to conduct human gait analysis. It also helps to achieve more accurate results.We recruit a small number of participants to collect data with higher accuracy for the purpose of reducing the resources, and then combining them with published data to satisfy the sample size conditions. Hence, the final results are computed from the combined data.The targeted parameters are maximum force (MF) and pressure time integral (PTI) from four regions of the human plantar, namely whole foot, rearfoot, midfoot and forefoot.Five healthy older adults were recruited to preform two sessions of trials by using 300E F-scan insole sensors. During each session, twelve walks by each participant along a 10-m walkway at a laboratory setting were recorded after wearing appropriate sized shoes with the sensors inserted inside them. We suggested the so-called mean of three steps protocol to extract the higher accurate self-captured data.To obtain the final results from the combined data, we use the so-called weighted mean and standard error.Our findings showed that the new approach comparing to the most commonly used ones leads to more accurate results using less resources. It produced smaller SE’s in all of the eight parameters studied.For the maximum force and pressure time integral, the results of this research indicated that: 1) the whole foot had the biggest values 2) the forefoot region had the second largest values and 3) the regions of rearfoot and the midfoot had the lowest last two values in decreasing order.
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使用改进方法的老年人足下压力
本研究提出了一种新的方法来研究健康老年人足下压力的一些参数。使用这种方法有助于更有效地完成人体步态分析。它允许减少资源,如时间,成本和努力,通常使用的方法需要进行人体步态分析。它还有助于获得更准确的结果。为了减少资源,我们招募少量的参与者,以更高的准确性收集数据,然后将其与已发表的数据相结合,以满足样本量条件。因此,最终结果是由合并后的数据计算出来的。目标参数是来自人体足底四个区域的最大力(MF)和压力时间积分(PTI),即全足、后足、中足和前足。招募了5名健康的老年人,使用300E f扫描鞋垫传感器进行了两组试验。在每次实验中,每个参与者穿着合适尺寸的鞋子,并在鞋子中插入传感器,然后在实验室环境下沿着10米长的人行道行走12次。我们提出了所谓的三步平均方案来提取更高精度的自捕获数据。为了从组合数据中获得最终结果,我们使用了所谓的加权平均值和标准误差。我们的研究结果表明,与最常用的方法相比,新方法可以使用更少的资源获得更准确的结果。它在研究的所有8个参数中产生较小的SE。对于最大力和压力时间积分,本研究结果表明:1)全足最大,前足次之,后足和中足最小,后两个值依次递减。
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