Literature DB >> 18571656

Estimating the complete ground reaction forces with pressure insoles in walking.

Daniel Tik-Pui Fong1, Yue-Yan Chan, Youlian Hong, Patrick Shu-Hang Yung, Kwai-Yau Fung, Kai-Ming Chan.   

Abstract

This study presented a method to estimate the complete ground reaction forces from pressure insoles in walking. Five male subjects performed 10 walking trials in a laboratory. The complete ground reaction forces were collected during a right foot stride by a force plate at 1000Hz. Simultaneous plantar pressure data were collected at 100Hz by a pressure insole system with 99 sensors covering the whole plantar area. Stepwise linear regressions were performed to individually reconstruct the complete ground reaction forces in three directions from the 99 individual pressure data until redundancy among the predictors occurred. An additional linear regression was performed to reconstruct the vertical ground reaction force by the sum of the value of the 99 pressure sensors. Five other subjects performed the same walking test for validation. Estimated ground reaction forces in three directions were calculated with the developed regression models, and were compared with the real data recorded from force plate. Accuracy was represented by the correlation coefficient and the root mean square error. Results showed very good correlation in anterior-posterior (0.928) and vertical (0.989) directions, and reasonable correlation in medial-lateral direction (0.719). The root mean square error was about 12%, 5% and 28% of the peak recorded value. Future studies should aim to generalize the methods or to establish specific methods to other subjects, patients, motions, footwear and floor conditions. The method gives an extra option to study an estimation of the complete ground reaction forces in any environment without the constraints from the number and location of force plates.

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Year:  2008        PMID: 18571656     DOI: 10.1016/j.jbiomech.2008.05.007

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  12 in total

1.  Computational techniques for using insole pressure sensors to analyse three-dimensional joint kinetics.

Authors:  Elizabeth S Chumanov; C David Remy; Darryl G Thelen
Journal:  Comput Methods Biomech Biomed Engin       Date:  2010-10       Impact factor: 1.763

2.  Biological Hip Torque Estimation using a Robotic Hip Exoskeleton.

Authors:  Dean D Molinaro; Inseung Kang; Jonathan Camargo; Aaron J Young
Journal:  Proc IEEE RAS EMBS Int Conf Biomed Robot Biomechatron       Date:  2020-10-15

3.  Correlation of psychomotor findings and the ability to partially weight bear.

Authors:  Thomas Ruckstuhl; Georg Osterhoff; Michael Zuffellato; Philippe Favre; Clément Ml Werner
Journal:  Sports Med Arthrosc Rehabil Ther Technol       Date:  2012-02-13

4.  Test-retest reliability of an insole plantar pressure system to assess gait along linear and curved trajectories.

Authors:  Marco Godi; Anna Maria Turcato; Marco Schieppati; Antonio Nardone
Journal:  J Neuroeng Rehabil       Date:  2014-06-05       Impact factor: 4.262

5.  Estimation of ground reaction forces and ankle moment with multiple, low-cost sensors.

Authors:  Daniel A Jacobs; Daniel P Ferris
Journal:  J Neuroeng Rehabil       Date:  2015-10-14       Impact factor: 4.262

6.  Assessing the validity of pressure-measuring insoles in quantifying gait variables.

Authors:  Jessica DeBerardinis; Janet S Dufek; Mohamed B Trabia; Daniel E Lidstone
Journal:  J Rehabil Assist Technol Eng       Date:  2018-01-12

7.  Modulation of plantar pressure and gastrocnemius activity during gait using electrical stimulation of the tibialis anterior in healthy adults.

Authors:  Maiki Moriguchi; Noriaki Maeshige; Mizuki Ueno; Yoshiyuki Yoshikawa; Hiroto Terashi; Hidemi Fujino
Journal:  PLoS One       Date:  2018-05-10       Impact factor: 3.240

Review 8.  Measurement of Walking Ground Reactions in Real-Life Environments: A Systematic Review of Techniques and Technologies.

Authors:  Erfan Shahabpoor; Aleksandar Pavic
Journal:  Sensors (Basel)       Date:  2017-09-12       Impact factor: 3.576

Review 9.  Indirect Measurement of Ground Reaction Forces and Moments by Means of Wearable Inertial Sensors: A Systematic Review.

Authors:  Andrea Ancillao; Salvatore Tedesco; John Barton; Brendan O'Flynn
Journal:  Sensors (Basel)       Date:  2018-08-05       Impact factor: 3.576

10.  Closing the Wearable Gap-Part V: Development of a Pressure-Sensitive Sock Utilizing Soft Sensors.

Authors:  Tony Luczak; Reuben F Burch V; Brian K Smith; Daniel W Carruth; John Lamberth; Harish Chander; Adam Knight; J E Ball; R K Prabhu
Journal:  Sensors (Basel)       Date:  2019-12-30       Impact factor: 3.576

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