Literature DB >> 20576436

Ambulatory assessment of 3D ground reaction force using plantar pressure distribution.

H Rouhani1, J Favre, X Crevoisier, K Aminian.   

Abstract

This study aimed to use the plantar pressure insole for estimating the three-dimensional ground reaction force (GRF) as well as the frictional torque (T(F)) during walking. Eleven subjects, six healthy and five patients with ankle disease participated in the study while wearing pressure insoles during several walking trials on a force-plate. The plantar pressure distribution was analyzed and 10 principal components of 24 regional pressure values with the stance time percentage (STP) were considered for GRF and T(F) estimation. Both linear and non-linear approximators were used for estimating the GRF and T(F) based on two learning strategies using intra-subject and inter-subjects data. The RMS error and the correlation coefficient between the approximators and the actual patterns obtained from force-plate were calculated. Our results showed better performance for non-linear approximation especially when the STP was considered as input. The least errors were observed for vertical force (4%) and anterior-posterior force (7.3%), while the medial-lateral force (11.3%) and frictional torque (14.7%) had higher errors. The result obtained for the patients showed higher error; nevertheless, when the data of the same patient were used for learning, the results were improved and in general slight differences with healthy subjects were observed. In conclusion, this study showed that ambulatory pressure insole with data normalization, an optimal choice of inputs and a well-trained nonlinear mapping function can estimate efficiently the three-dimensional ground reaction force and frictional torque in consecutive gait cycle without requiring a force-plate.
Copyright © 2010 Elsevier B.V. All rights reserved.

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Year:  2010        PMID: 20576436     DOI: 10.1016/j.gaitpost.2010.05.014

Source DB:  PubMed          Journal:  Gait Posture        ISSN: 0966-6362            Impact factor:   2.840


  12 in total

1.  Influence of the instrumented force shoe on gait pattern in patients with osteoarthritis of the knee.

Authors:  Josien van den Noort; Martin van der Esch; Martijn P Steultjens; Joost Dekker; Martin Schepers; Peter H Veltink; Jaap Harlaar
Journal:  Med Biol Eng Comput       Date:  2011-08-25       Impact factor: 2.602

2.  A neural network model to predict knee adduction moment during walking based on ground reaction force and anthropometric measurements.

Authors:  Julien Favre; Matthieu Hayoz; Jennifer C Erhart-Hledik; Thomas P Andriacchi
Journal:  J Biomech       Date:  2012-01-16       Impact factor: 2.712

3.  Estimating Running Ground Reaction Forces from Plantar Pressure during Graded Running.

Authors:  Eric C Honert; Fabian Hoitz; Sam Blades; Sandro R Nigg; Benno M Nigg
Journal:  Sensors (Basel)       Date:  2022-04-27       Impact factor: 3.847

4.  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

5.  Estimation of Ground Reaction Forces and Moments During Gait Using Only Inertial Motion Capture.

Authors:  Angelos Karatsidis; Giovanni Bellusci; H Martin Schepers; Mark de Zee; Michael S Andersen; Peter H Veltink
Journal:  Sensors (Basel)       Date:  2016-12-31       Impact factor: 3.576

6.  Estimation of Vertical Ground Reaction Forces and Sagittal Knee Kinematics During Running Using Three Inertial Sensors.

Authors:  Frank J Wouda; Matteo Giuberti; Giovanni Bellusci; Erik Maartens; Jasper Reenalda; Bert-Jan F van Beijnum; Peter H Veltink
Journal:  Front Physiol       Date:  2018-03-22       Impact factor: 4.566

7.  Ambulatory assessment of walking balance after stroke using instrumented shoes.

Authors:  Fokke B van Meulen; Dirk Weenk; Jaap H Buurke; Bert-Jan F van Beijnum; Peter H Veltink
Journal:  J Neuroeng Rehabil       Date:  2016-05-19       Impact factor: 4.262

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

9.  Shoe-Integrated, Force Sensor Design for Continuous Body Weight Monitoring.

Authors:  Shahzad Muzaffar; Ibrahim Abe M Elfadel
Journal:  Sensors (Basel)       Date:  2020-06-12       Impact factor: 3.576

10.  Endoluminal Motion Recognition of a Magnetically-Guided Capsule Endoscope Based on Capsule-Tissue Interaction Force.

Authors:  Peisen Zhang; Jing Li; Weimin Zhang; Yang Hao; Gastone Ciuti; Tatsuo Arai; Paolo Dario; Qiang Huang
Journal:  Sensors (Basel)       Date:  2021-03-30       Impact factor: 3.576

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