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日常行为中足底压力时空模式的复杂性。

Complexity of spatio-temporal plantar pressure patterns during everyday behaviours.

机构信息

Active Touch Laboratory, Department of Psychology, University of Sheffield, Sheffield, UK.

Insigneo Institute for in silico Medicine, University of Sheffield, Sheffield, UK.

出版信息

J R Soc Interface. 2023 Jun;20(203):20230052. doi: 10.1098/rsif.2023.0052. Epub 2023 Jun 28.

Abstract

The human foot sole is the primary interface with the external world during balance and walking, and also provides important tactile information on the state of contact. However, prior studies on plantar pressure have focused mostly on summary metrics such as overall force or centre of pressure under limited conditions. Here, we recorded spatio-temporal plantar pressure patterns with high spatial resolution while participants completed a wide range of daily activities, including balancing, locomotion and jumping tasks. Contact area differed across task categories, but was only moderately correlated with the overall force experienced by the foot sole. The centre of pressure was often located outside the contact area or in locations experiencing relatively low pressure, and therefore a result of disparate contact regions spread widely across the foot. Non-negative matrix factorization revealed low-dimensional spatial complexity that increased during interaction with unstable surfaces. Additionally, pressure patterns at the heel and metatarsals decomposed into separately located and robustly identifiable components, jointly capturing most variance in the signal. These results suggest optimal sensor placements to capture task-relevant spatial information and provide insight into how pressure varies spatially on the foot sole during a wide variety of natural behaviours.

摘要

人类足底是在平衡和行走过程中与外部世界的主要接口,并且还提供有关接触状态的重要触觉信息。然而,先前的足底压力研究主要集中在有限条件下的整体力或压力中心等综合指标上。在这里,我们在参与者完成各种日常活动(包括平衡、运动和跳跃任务)时,以高空间分辨率记录了足底压力的时空模式。接触面积因任务类别而异,但与足底所经历的整体力仅呈中度相关。压力中心通常位于接触区域之外或压力相对较低的位置,因此是分布在整个足部的离散接触区域的结果。非负矩阵分解揭示了与不稳定表面相互作用时增加的低维空间复杂性。此外,脚跟和跖骨处的压力模式分解为单独定位且可识别的分量,共同捕获信号中的大部分方差。这些结果表明了优化的传感器放置位置,以捕获与任务相关的空间信息,并深入了解在各种自然行为过程中足底压力在空间上的变化方式。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43a6/10300506/501d19abdfed/rsif20230052f01.jpg

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