MyWalk: A mobile app for gait asymmetry rehabilitation in the community
PervasiveHealth '13: Proceedings of the 7th International Conference on Pervasive Computing Technologies for Healthcare（2013）
摘要
MyWalk is a mobile app to enable gait rehabilitation in the community. Particularly, it can be used to treat and assess step-time asymmetry (STA) - which occurs when the amount of time between consecutive heel strikes is uneven. Temporal gait asymmetry, of which STA is a form, is common post-stroke and could result in difficulties such as joint degeneration or musculoskeletal pain. By enabling STA rehabilitation on a smartphone, post-stroke patients can now improve and assess their STA within the context of their everyday environments. Initial validation of MyWalk's algorithm showed minimal error (RMSE 2.20-2.67%) versus a foot-switch ground truth in detecting STA for symmetric walking conditions, but larger error (RMSE 13.82-16.34%) in asymmetric walking conditions. Future work will be to improve the accuracy of MyWalk's STA algorithm.
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关键词
minimal error,gait rehabilitation,asymmetric walking condition,joint degeneration,gait asymmetry rehabilitation,symmetric walking condition,sta algorithm,sta rehabilitation,larger error,rmse,mobile application,consecutive heel strikes,step-time asymmetry,stroke,outpatient rehabilitation,smartphones,smartphone,post-stroke patients,foot-switch ground truth,mobile app,symmetric walking conditions,musculoskeletal pain,biofeedback,patient rehabilitation,gait analysis,post-stroke patient,mywalk's sta algorithm,common post-stroke,smart phones,medical computing,asymmetric walking conditions,contextual rehabilitation technologies,mobile computing,temporal gait asymmetry rehabilitation,gait,noise
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