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作 者:胡晓刚[1] 王人成[1] 贾晓红[1] 朱琳[2] 王爱明[1]
机构地区:[1]清华大学摩擦学国家重点实验室智能与生物机械分室,北京100084 [2]首都医科大学宣武医院康复科
出 处:《中国康复医学杂志》2009年第3期252-254,共3页Chinese Journal of Rehabilitation Medicine
基 金:国家自然科学基金(50575122)资助项目;国家科技支撑计划(2006BAI22B03)资助项目
摘 要:目的:研发低成本肌电生物反馈治疗系统,并进行临床试验验证系统的适用范围。方法:自主研发软硬件设备。运用肌电信号在线处理方法,比较不同算法对系统性能的影响。将肌电信息实时显示反馈给7名急性脑卒中患者和1名健康者,验证系统的性能,同时比较两种训练方案的效果:①高动作训练频率,短动作持续时间;②低动作训练频率,长动作持续时间。结果:绝对值分段积分算法在曲线平滑程度上优于其他算法。在同样训练时间内,降低训练动作频率,延长单次动作持续时间的治疗方案有助于患者肢体功能恢复和肌力增强。结论:该系统可适用于急性脑卒中患者肢体远端训练康复,同时可配合其他训练设备,缩短康复时间。Objective:To develop a low cost sEMG biofeedback system and investigate it's clinical applications. Method: Software and hardware of this system were self-designed and developed. The effects of different online processing algorithms on the capability of the system were compared. Online real-time visual feedback of sEMG signals and awarding stimulations were provided for 7 stroke patients and 1 healthy subject. Two training protocols were compared: high movement frequency, and short movement duration; low movement frequency, and long movement duration. Result: Absolute integral value algorithm had better results in smoothness and online display. In the same training duration, movement with lower frequency and longer maintenance duration was more effective for stroke patients on limb function rehabilitation and muscle strength enhancement. Conclusion: This system could be used for distal part of limb rehabilitation training in acute stroke patients. It could be combined with other training equipments to pvomote recovery better.
分 类 号:TH772[机械工程—仪器科学与技术]
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