Lidstone Daniel E, DeBerardinis Jessica, Dufek Janet S, Trabia Mohamed B
Department of Kinesiology and Nutrition Sciences, University of Nevada Las Vegas, USA.
Department of Mechanical Engineering, University of Nevada Las Vegas, USA.
Foot (Edinb). 2019 Jun;39:1-10. doi: 10.1016/j.foot.2019.01.009. Epub 2019 Jan 17.
Pressure-measuring insoles have the potential to measure plantar contact area (PA) during walking. However, they are not widely used for this purpose because of the need for a reliable process that can convert the insole output into PA. The purposes of this study were to: (1) develop an adaptive-threshold method for pressure-measuring insoles that can improve the accuracy of the PA measurements during walking, and (2) experimentally assess the accuracy and generalizability of this method.
A sample of 42 healthy, ambulatory, young adults (age=24.3±3.2years, mass=67.2±16.9kg, height=1.63±0.08m) completed 10 trials walking on an elevated walkway while wearing Medilogic pressure-measuring insoles (sizes 35-45). A total of six insole sizes were considered. Insole data were converted to PA using three unique adaptive-thresholds that were based on percentages of the maximum sum of digital values (MSDV) during an analyzed step. Three values were considered: 0.1%, 0.2%, and 0.3% of the MSDV. Additionally, a fixed-threshold, which is typically used to estimate PA, was assessed. These two techniques, applied to the insole worn on the left foot, were compared with PA obtained from high-resolution reference footprints obtained from optical pedography of the right foot and processed using digital image processing algorithms. An assumption of PA symmetry between the left (insole) and right (barefoot) feet was made and comparisons were conducted over the entire stance phase of walking. The generalizability of the algorithm was assessed by comparing PA errors from insoles with respect to the optical pedography results based on insole size criteria.
The adaptive-thresholds of 0.1%, 0.2%, and 0.3% of MSDV produced mean errors of 7.31±17.44%, -8.62±15.01%, and -20.45±14.18%, respectively. Using the 2-digital value fixed-threshold produced a mean error of 20.88±22.44%. The best performing adaptive-threshold varied among insole sizes.
It was observed that the fixed-threshold technique produced large magnitudes of errors. The proposed adaptive-thresholds of 0.1% and 0.2% of the MSDV reduced PA error to ±10% during walking. The adaptive-threshold method consistently reduced PA error vs. the fixed-threshold for each insole size.
压力测量鞋垫有潜力在行走过程中测量足底接触面积(PA)。然而,由于需要一个可靠的过程将鞋垫输出转换为PA,它们尚未广泛用于此目的。本研究的目的是:(1)为压力测量鞋垫开发一种自适应阈值方法,以提高行走过程中PA测量的准确性,以及(2)通过实验评估该方法的准确性和通用性。
42名健康、能行走的年轻成年人(年龄=24.3±3.2岁,体重=67.2±16.9kg,身高=1.63±0.08m)的样本,在穿着Medilogic压力测量鞋垫(尺码35 - 45)的情况下,在高架人行道上完成10次行走试验。总共考虑了六种鞋垫尺码。鞋垫数据使用基于分析步骤中数字值最大总和(MSDV)百分比的三个独特自适应阈值转换为PA。考虑了三个值:MSDV的0.1%、0.2%和0.3%。此外,评估了通常用于估计PA的固定阈值。将应用于左脚穿着的鞋垫的这两种技术,与从右脚光学足底成像获得并使用数字图像处理算法处理的高分辨率参考足迹获得的PA进行比较。假设左脚(鞋垫)和右脚(赤脚)之间的PA对称,并在行走的整个站立阶段进行比较。通过根据鞋垫尺寸标准比较鞋垫相对于光学足底成像结果的PA误差,评估算法的通用性。
MSDV的0.1%、0.2%和0.3%的自适应阈值分别产生的平均误差为7.31±17.44%、 - 8.62±15.01%和 - 20.45±14.18%。使用2数字值固定阈值产生的平均误差为20.88±22.44%。表现最佳的自适应阈值因鞋垫尺码而异。
观察到固定阈值技术产生的误差幅度较大。提出的MSDV的0.1%和0.2%的自适应阈值在行走过程中将PA误差降低到±l0%。对于每种鞋垫尺码,自适应阈值方法与固定阈值相比持续降低了PA误差。