Personalized gait curves are generated to enhance patient adaptability to gait trajectories used for passive training in the early stage of rehabilitation for hemiplegic patients.The article utilizes the random forest...Personalized gait curves are generated to enhance patient adaptability to gait trajectories used for passive training in the early stage of rehabilitation for hemiplegic patients.The article utilizes the random forest algorithm to construct a gait parameter model,which maps the relationship between parameters such as height,weight,age,gender,and gait speed,achieving prediction of key points on the gait curve.To enhance prediction accuracy,an attention mechanism is introduced into the algorithm to focus more on the main features.Meanwhile,to ensure high similarity between the reconstructed gait curve and the normal one,probabilistic motion primitives(ProMP)are used to learn the probability distribution of normal gait data and construct a gait trajectorymodel.Finally,using the specified step speed as input,select a reference gait trajectory from the learned trajectory,and reconstruct the curve of the reference trajectoryusing the gait keypoints predictedby the parametermodel toobtain the final curve.Simulation results demonstrate that the method proposed in this paper achieves 98%and 96%curve correlations when generating personalized lower limb gait curves for different patients,respectively,indicating its suitability for such tasks.展开更多
传统康复观念认为,脑卒中发病后3个月是康复的"黄金时期",发病3-6个月进行康复还会有一定的恢复,6个月-1年(恢复期)康复效果常常达到一个"平台"[1].进入恢复期,患者基本是在门诊接受治疗,但许多患者往往做不到每天...传统康复观念认为,脑卒中发病后3个月是康复的"黄金时期",发病3-6个月进行康复还会有一定的恢复,6个月-1年(恢复期)康复效果常常达到一个"平台"[1].进入恢复期,患者基本是在门诊接受治疗,但许多患者往往做不到每天门诊康复治疗,从而影响了疗效.为继续改善此阶段的上肢运动功能,多数患者被采用以bobath方法为主,配合rood法、brunnstrom促进法等易化技术进行的康复治疗.笔者对1例脑卒中恢复期门诊患者的上肢运动功能障碍采用改良的强制性运动疗法(modifimed con-straint-induced movement therapy,mcimt)进行治疗,取得了明显的治疗效果.展开更多
基金supported by Guizhou Provincial Department of Science and Technology(Guizhou Science and Technology Cooperation Support[2021]General 442)Guizhou Provincial Department of Science and Technology(Guizhou Science and Technology Cooperation Support[2023]General 179)Guizhou Provincial Department of Science and Technology(Guizhou Science and Technology Cooperation Support[2023]General 096).
文摘Personalized gait curves are generated to enhance patient adaptability to gait trajectories used for passive training in the early stage of rehabilitation for hemiplegic patients.The article utilizes the random forest algorithm to construct a gait parameter model,which maps the relationship between parameters such as height,weight,age,gender,and gait speed,achieving prediction of key points on the gait curve.To enhance prediction accuracy,an attention mechanism is introduced into the algorithm to focus more on the main features.Meanwhile,to ensure high similarity between the reconstructed gait curve and the normal one,probabilistic motion primitives(ProMP)are used to learn the probability distribution of normal gait data and construct a gait trajectorymodel.Finally,using the specified step speed as input,select a reference gait trajectory from the learned trajectory,and reconstruct the curve of the reference trajectoryusing the gait keypoints predictedby the parametermodel toobtain the final curve.Simulation results demonstrate that the method proposed in this paper achieves 98%and 96%curve correlations when generating personalized lower limb gait curves for different patients,respectively,indicating its suitability for such tasks.
文摘传统康复观念认为,脑卒中发病后3个月是康复的"黄金时期",发病3-6个月进行康复还会有一定的恢复,6个月-1年(恢复期)康复效果常常达到一个"平台"[1].进入恢复期,患者基本是在门诊接受治疗,但许多患者往往做不到每天门诊康复治疗,从而影响了疗效.为继续改善此阶段的上肢运动功能,多数患者被采用以bobath方法为主,配合rood法、brunnstrom促进法等易化技术进行的康复治疗.笔者对1例脑卒中恢复期门诊患者的上肢运动功能障碍采用改良的强制性运动疗法(modifimed con-straint-induced movement therapy,mcimt)进行治疗,取得了明显的治疗效果.
