Literature DB >> 32734303

Enhancing the Accuracy of Vertical Ground Reaction Force Measurement During Walking Using Pressure-Measuring Insoles.

Jessica DeBerardinis1, Mohamed B Trabia2, Janet S Dufek3, Yann Le Gall4, Nicolas Da Silva Sacoto5.   

Abstract

Pressure-measuring insoles can be an attractive tool for measuring ground reaction force (GRF) since they are portable and can record multiple consecutive steps. Several researchers have, however, observed that these insoles are less accurate than instrumented force platforms. To address this issue, the authors identified transfer functions that best described each insole size to enhance the measurements of the vertical component of GRF during walking. GRF data were collected from 29 participants (6/23 male/female, 24.3 ± 6.7 yrs, 70.4 ± 23.9 kg, 1.66 ± 0.11 m) using Medilogic® pressure-measuring insoles and Kistler® force platforms for three walking trials. Participants provided the institutionally approved written consent (IRB #724468). The data from both instruments were preprocessed. A subset of the data was used to train the system identification toolbox (matlab) to identify the coefficients of several candidate transfer functions for each insole size. The resulting transfer functions were compared using all available data for each insole to assess which one modified the insole data to be closer to that of the force platform. All tested transfer functions moved the vertical component of GRF closer to the corresponding force platform data. Each insole size had a specific transfer model that that yielded the best results. Using system identification techniques produced transfer functions that, when using insole data of the vertical component of GRF as input, produced output that is comparable to the corresponding measurement using an instrumented force platform.
Copyright © 2021 by ASME.

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Year:  2021        PMID: 32734303     DOI: 10.1115/1.4047993

Source DB:  PubMed          Journal:  J Biomech Eng        ISSN: 0148-0731            Impact factor:   2.097


  2 in total

1.  Reducing Slip Risk: A Feasibility Study of Gait Training with Semi-Real-Time Feedback of Foot-Floor Contact Angle.

Authors:  Christina Zong-Hao Ma; Tian Bao; Christopher A DiCesare; Isaac Harris; April Chambers; Peter B Shull; Yong-Ping Zheng; Rakie Cham; Kathleen H Sienko
Journal:  Sensors (Basel)       Date:  2022-05-10       Impact factor: 3.847

2.  Estimation of Tibiofemoral Joint Contact Forces Using Foot Loads during Continuous Passive Motions.

Authors:  Yunlong Yang; Huixuan Huang; Junlong Guo; Fei Yu; Yufeng Yao
Journal:  Sensors (Basel)       Date:  2022-06-30       Impact factor: 3.847

  2 in total

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