新型离散式足底压力传感器鞋垫力传感器动态标定优化方案：描述性及对比研究。

New Optimized Dynamic Calibration Proposition for Discretized Sensorized Insoles With Resistive Force Sensor: A Descriptive and Comparative Study.

机构信息

Bioengineering Laboratory (LABBIO), Graduate Program in Mechanical Engineering (PPGMEC), Universidade Federal de Minas Gerais (UFMG), Avenida Antônio Carlos 6627, Campus Pampulha, Belo Horizonte, MG 31.270-901, Brazil.

Department of Biomechanics, College of Education, Health and Human Sciences, University of Nebraska at Omaha, 6160 University Drive South, Omaha, NE 68182.

出版信息

J Biomech Eng. 2023 Apr 1;145(4). doi: 10.1115/1.4056061.

DOI:10.1115/1.4056061

PMID:36301243

Abstract

Sensorized insoles (SIs) have been used as a wearable instrument to study human gait and have the potential to identify and predict pathologies and injuries. However, most of these sensorized insoles are only statically calibrated, relying on a scale and known weights to establish a relationship between electrical signals and the load applied on laboratory benches while ignoring the dynamic interaction between person and instrument. This study proposes and verifies a calibration method complementary to static calibration to compensate for different dynamic interactions between the insole and the individual during gait. In order to perform this comparison, a laboratory test was proposed with 32 volunteers (18 men and 14 women). Each volunteer walked on a double-belt instrumented treadmill (Bertec at 1000 Hz, Bertec Corp, Columbus, OH) while wearing an experimental resistive sensorized insole (SI). The SI data were compared with the instrumented treadmill and adjusted using an optimization algorithm to create a dynamic coefficient to complement and optimize the results. This study also verifies the impact of the method considering three different types of gait: pronated, neutral, and supinated. After using this technique and considering static calibration, the Pearson correlation coefficient between the SI and the instrumented treadmill improved by 12%.

摘要

传感器鞋垫（SIs）已被用作可穿戴仪器来研究人类步态，并且有可能识别和预测病理和损伤。然而，这些传感器鞋垫中的大多数仅进行静态校准，依靠秤和已知的重量在实验室台架上建立电信号与施加的负载之间的关系，而忽略了人与仪器之间的动态相互作用。本研究提出并验证了一种补充静态校准的校准方法，以补偿步态过程中鞋垫和个体之间的不同动态相互作用。为了进行这种比较，提出了一项实验室测试，共有 32 名志愿者（18 名男性和 14 名女性）参与。每位志愿者在双带仪器化跑步机（Bertec 以 1000 Hz，Bertec 公司，俄亥俄州哥伦布市）上穿着实验性电阻式传感器鞋垫（SI）行走。将 SI 数据与仪器化跑步机进行比较，并使用优化算法进行调整，以创建一个动态系数来补充和优化结果。本研究还验证了该方法在考虑三种不同步态（pronated、neutral 和 supinated）时的影响。使用该技术并考虑静态校准后，SI 和仪器化跑步机之间的 Pearson 相关系数提高了 12%。