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

Details

Serval ID
serval:BIB_D1FEEBB23C8D
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Ambulatory assessment of 3D ground reaction force using plantar pressure distribution.
Journal
Gait and Posture
Author(s)
Rouhani H., Favre J., Crevoisier X., Aminian K.
ISSN
1879-2219[electronic], 0966-6362[linking]
Publication state
Published
Issued date
2010
Volume
32
Number
3
Pages
311-316
Language
english
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.
Keywords
Ground Reaction Force, Plantar Pressure Distribution, Ambulatory Pressure Insoles, Gait Analysis, Foot Kinematics, Gait, Simulations, Networks, Insoles, Walking, Model
Pubmed
Web of science
Create date
19/11/2010 9:05
Last modification date
20/08/2019 15:52
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