DocumentCode
670580
Title
Asymmetry detection during pathological gait using a plantar pressure sensing system
Author
Wafai, Linah ; Zayegh, Aladin ; Begg, R. ; Woulfe, John
Author_Institution
Coll. of Eng. & Sci., Victoria Univ., Melbourne, VIC, Australia
fYear
2013
fDate
17-20 Nov. 2013
Firstpage
182
Lastpage
187
Abstract
Foot pain has long been associated with various pathologies of the foot. These common clinical problems often correspond with high plantar pressure, which can lead to severe plantar injury if it is left untreated. The detection of plantar pressure abnormalities is therefore of paramount importance for the diagnosis, early intervention, treatment and prevention of plantar injury. Traditional clinical methods for the diagnosis of plantar pressure abnormalities are predominantly subjective and can be unreliable. This study aimed to utilise sensor shoe-insoles to assess the asymmetry in peak plantar pressure during gait between the left and right feet of individuals with and without known foot pathologies. Outcomes of this study demonstrate that the level of asymmetry is significantly different between the control and pathological population at the third and fourth metatarsophalangeal joints (MPJs) (P <; 0.05). The use of plantar pressure measurement and asymmetry analysis may prove to be effective in the diagnosis and assessment of treatment outcomes for the prevention of foot injury.
Keywords
gait analysis; patient diagnosis; patient treatment; pressure sensors; asymmetry detection; foot injury; forefoot plantar pressure distribution; metatarsophalangeal joints; pathological gait; patient diagnosis; patient treatment; plantar injury; plantar pressure sensing system; sensor shoe-insoles; Diabetes; Foot; Injuries; Pathology; Pressure measurement; Sociology; Statistics; forefoot problems; gait symmetry; plantar pressure;
fLanguage
English
Publisher
ieee
Conference_Titel
GCC Conference and Exhibition (GCC), 2013 7th IEEE
Conference_Location
Doha
Print_ISBN
978-1-4799-0722-9
Type
conf
DOI
10.1109/IEEEGCC.2013.6705772
Filename
6705772
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