Movement disorders of the human foot-ankle complex are a common occurrence,owing to the altered joint mechanics during foot-ground interactions.Diagnostics of such movement disorders will require quantitative tools to...Movement disorders of the human foot-ankle complex are a common occurrence,owing to the altered joint mechanics during foot-ground interactions.Diagnostics of such movement disorders will require quantitative tools to evaluate in-vivo foot motions,in particular to the multi-segment/joint foot kinematics(MSFK),during gait.Unfortunately,current MSFK analysis largely rely on conventional technologies,such as skin-marker based motion capturing,video fluoroscopy and dynamic 3D scanning,being extremely time-consuming and costly.In this work,a novel movement tracking method,named the point-cloud foot analysis(PFA),was implemented with multi-view depth sensors,to allow fast evaluations of 3D motions of the foot-ankle complex during gait.Quantitative analysis obtained by the PFA methods and their accuracy relative to the conventional MSFK analysis methods were evaluated.The 3D surface reconstructions of the foot-ankle complex were achieved with a RMSE less than 2 mm.It was proven to be feasible to track multi-segment foot motions in both healthy and diseased subjects during walking conditions,with the processing time decreased from more than 4-6 h to less than 6 min for the entire flow of the contact phase analysis.The PFA method can be useful for fast evaluations of the movement disorders of the foot-ankle complex in diagnostics and design of therapeutic interventions and rehabilitation programs for clinical applications.展开更多
基金supported by National Key Research and Development Project,China(No.2022YFC2009500)Shanghai Science and Technology Development Funds(No.20S31901000&No.21511102200)Medical Engineering Fund of Fudan University(No.yg2021-019).
文摘Movement disorders of the human foot-ankle complex are a common occurrence,owing to the altered joint mechanics during foot-ground interactions.Diagnostics of such movement disorders will require quantitative tools to evaluate in-vivo foot motions,in particular to the multi-segment/joint foot kinematics(MSFK),during gait.Unfortunately,current MSFK analysis largely rely on conventional technologies,such as skin-marker based motion capturing,video fluoroscopy and dynamic 3D scanning,being extremely time-consuming and costly.In this work,a novel movement tracking method,named the point-cloud foot analysis(PFA),was implemented with multi-view depth sensors,to allow fast evaluations of 3D motions of the foot-ankle complex during gait.Quantitative analysis obtained by the PFA methods and their accuracy relative to the conventional MSFK analysis methods were evaluated.The 3D surface reconstructions of the foot-ankle complex were achieved with a RMSE less than 2 mm.It was proven to be feasible to track multi-segment foot motions in both healthy and diseased subjects during walking conditions,with the processing time decreased from more than 4-6 h to less than 6 min for the entire flow of the contact phase analysis.The PFA method can be useful for fast evaluations of the movement disorders of the foot-ankle complex in diagnostics and design of therapeutic interventions and rehabilitation programs for clinical applications.
