Gait & posture · 2018
Characterization of gait using plantar force transfer trajectory in individuals with hallux valgus deformity.
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Eshraghi Saba, Esat Ibrahim, Mohagheghi Amir A
Аннотация
BACKGROUND: Hallux Valgus (HV) is the most common fore-foot deformity, which causes foot pain and limited motion that are encountered in podiatric and orthopedic practices. The purpose of this study is to develop a reliable pattern recognition method to identify the presence of HV based on plantar force measurements.
METHOD: Forces at five discrete metatarsal regions are measured at discrete time intervals under the right foot. Under this method, it is hypothesized that force measurement at a given time interval is related to the forces at a previous time interval by using Markovian transition matrix (T matrix). Thirty volunteers' (10 with HV, 10 without HV and 10 with un-diagnosed HV) condition were examined. The use of a Markovian transition matrix for gait characterization is novel. T matrices of all the participants were obtained and compared using means and standard deviations of each of the matrix elements. The comparison was undertaken using a new measure called the "Diagnostic Ratio" (DR). Independent Sample T-test was performed on the T matrix elements.
RESULTS: A significant difference was observed between the HV and non-HV groups. HV volunteers were recognized from the dispersion of the T matrices' elements. For volunteers with un-diagnosed condition exhibiting borderline DR may be interpreted as them being prone to HV.
CONCLUSION: Comparison of transfer matrices using means and standard deviations of the HV and non-HV groups revealed that a DR of higher than 40% could suggest having an HV condition for five volunteers of the un-diagnosed group and two were found to be prone to getting the condition.
METHOD: Forces at five discrete metatarsal regions are measured at discrete time intervals under the right foot. Under this method, it is hypothesized that force measurement at a given time interval is related to the forces at a previous time interval by using Markovian transition matrix (T matrix). Thirty volunteers' (10 with HV, 10 without HV and 10 with un-diagnosed HV) condition were examined. The use of a Markovian transition matrix for gait characterization is novel. T matrices of all the participants were obtained and compared using means and standard deviations of each of the matrix elements. The comparison was undertaken using a new measure called the "Diagnostic Ratio" (DR). Independent Sample T-test was performed on the T matrix elements.
RESULTS: A significant difference was observed between the HV and non-HV groups. HV volunteers were recognized from the dispersion of the T matrices' elements. For volunteers with un-diagnosed condition exhibiting borderline DR may be interpreted as them being prone to HV.
CONCLUSION: Comparison of transfer matrices using means and standard deviations of the HV and non-HV groups revealed that a DR of higher than 40% could suggest having an HV condition for five volunteers of the un-diagnosed group and two were found to be prone to getting the condition.