Masudur R Siddiquee
Tanzania
Research Article
A Mobile, Smart Gait Assessment System for Asymmetry Detection Using Machine Learning-Based Classification
Author(s): Sebastian Márquez J, Roozbeh Atri, Masudur R Siddiquee, Connie Leung and Ou BaiSebastian Márquez J, Roozbeh Atri, Masudur R Siddiquee, Connie Leung and Ou Bai
Gait asymmetry is characterized as the dynamic differences between contralateral limbs, it has been shown to be caused by disease, age, clinical interventions and limb dominance. In this study, a mobile gait assessment system was developed for the evaluation of gait asymmetry in persons with simulated leg length discrepancy (sLLD). LLD is a disorder that affects 40-70% of the population requiring clinical intervention when the dissimilarity between limbs exceeds 3.7%. In out of clinic applications, an ambulatory gait symmetry system may be used to monitor postsurgical outcomes based on objective temporal and kinetic features. For this, a wireless gait symmetry system was designed and tested to measure ground reaction forces from insole worn pressure sensors. Thirteen metrics were extracted from a group of 9 subjects and a linear discriminant analysis performed for feature selection. M.. View More»
