Gait Analysis through a visual method to calculate temporal parameters: comparison of performance between the gait laboratory and the clinical setting
AbstractAnalysis of human movement provides systematic and quantitative information of movement. The detection of events that occur during walking allows for the calculation of spatiotemporal parameters, commonly used for the characterization of gait. A method for visual detection of gait events was previously evaluated, showing promising results. The method should now be used in the clinical setting for estimation of gait parameters and symmetry. The aims of this study were then to compare the performance of the visual method in a clinical setting against its performance in a gait laboratory and to evaluate its behavior for calculation of gait symmetry in eight healthy subjects. Two gait events were detected and six temporal parameters (TP) were calculated. Also, a symmetry index (SI) was calculated for three TP. Results for the calculation of TP in the clinical setting were comparable to those obtained in the gait laboratory. Also, the values of TP and symmetry were within the range of those reported by other authors. These results suggest that the visual events detection method can be considered as an option for basic Analysis of Human Movement in the clinical environment.