Title :
Detecting Idiopathic toe-walking gait pattern from normal gait pattern using heel accelerometry data and Support Vector Machines
Author :
Pendharkar, Gita ; Lai, Daniel T H ; Begg, Rezaul K.
Author_Institution :
Department of Electrical and Computer Systems Engineering, Monash University, Melbourne 3168, Australia
Abstract :
Toe walking is commonly seen in children with neurological symptoms such as cerebral palsy. However idiopathic toe walking (ITW) in children is considered to be habitual. ITW children are categorized as toe walkers without any neurological problems, however they walk with their foot plantar-flexed. These children often suffer poor sport performance leading to low exercise levels and the associated consequences. If the condition is not treated, the ITW children eventually develop abnormal gait pattern as adults and could suffer from postural problems. However, ITW gait is difficult to observe since children can modify their gait when made aware of it. Gait analysis using heel accelerometry data in ITW children could provide an objective and quantitative description of their toe walking and may thus be beneficial for observing ITW. In this paper, we propose a technique based on Support Vector Machines (SVM) to recognize ITW gait patterns using heel accelerometry data. Test results indicated that the SVM is able to identify ITW gait patterns with a maximum accuracy of 87.5% when a feature selection algorithm was applied.
Keywords :
Accelerometers; Biomedical monitoring; Birth disorders; Foot; Legged locomotion; Muscles; Pattern recognition; Pediatrics; Support vector machines; Testing; Acceleration; Artificial Intelligence; Child; Child, Preschool; Diagnosis, Computer-Assisted; Female; Gait; Gait Disorders, Neurologic; Heel; Humans; Male; Monitoring, Ambulatory; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity;
Conference_Titel :
Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE
Conference_Location :
Vancouver, BC
Print_ISBN :
978-1-4244-1814-5
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2008.4650317