Literature DB >> 11182128

Ground reaction: intrinsic and extrinsic variability assessment and related method for artefact treatment.

M Rabuffetti1, C Frigo.   

Abstract

Ground reaction (GR) components measured by a dynamometric platform represent the dynamic interaction of the moving human body with the ground and depend on the subject-platform relative position and orientation. The observed variability among the GR measurements of the walking trials of an individual is either due to variability in the motor performance (intrinsic variability) or due to changes in the direction of walking and in the position and orientation of the striking foot relative to the platform (extrinsic variability). A method, based on the median operator, is presented here which lets us quantify the two components of variability. The application of the method to a large data set of normal subjects evidenced changes in progression direction/foot orientation (95th percentile value is 6.9 degrees ), which can dramatically change the patterns of GR components. This result warns about improper analysis of ground reaction measurement. An algorithm for restoring GR measurements affected by artefact was derived from the above method. This tool can be of valuable aid in clinical practice where patients' conditions suggest to not insist on repetition of trials even if the required number of correct foot placements has not been achieved. The artefact correction algorithm has been applied to a large data set artificially corrupted to evaluate its robustness.

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Year:  2001        PMID: 11182128     DOI: 10.1016/s0021-9290(00)00136-6

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


  4 in total

1.  Spot check of the calibrated force platform location.

Authors:  M Rabuffetti; M Ferrarin; F Benvenuti
Journal:  Med Biol Eng Comput       Date:  2001-11       Impact factor: 3.079

2.  A wearable ground reaction force sensor system and its application to the measurement of extrinsic gait variability.

Authors:  Tao Liu; Yoshio Inoue; Kyoko Shibata
Journal:  Sensors (Basel)       Date:  2010-11-16       Impact factor: 3.576

Review 3.  Gait analysis using wearable sensors.

Authors:  Weijun Tao; Tao Liu; Rencheng Zheng; Hutian Feng
Journal:  Sensors (Basel)       Date:  2012-02-16       Impact factor: 3.576

Review 4.  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

  4 in total

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