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Comfort degree of patients' rehabilitation training based on DSmT theory

机译:基于DSMT理论的患者康复培训的舒适度

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This paper aims to solve the problem that most rehabilitation robots lack to integrate their physiological functions and psychological states into closed controlling loop in rehabilitation training of stroke patients. The application of fusion technology of multi-electromechanical sensor signal and DSmT signal is used to achieve patients' comfort judgement. Mean value and variance are used to extract physiological information such as heart rate, temperature and skin resistance. Sensor information of fusion technology of rehabilitation robot based on classical DSmT theory can realize on-line diagnosis of multi-comfort degree of patients' coupling.
机译:本文旨在解决大多数康复机器人缺乏将其生理功能和心理状态整合到脑卒中患者康复培训中的生理功能和心理状态的问题。多机电传感器信号和DSMT信号融合技术的应用用于实现患者的舒适判断。平均值和方差用于提取心率,温度和皮肤等的生理信息。基于经典DSMT理论的康复机器人融合技术传感器信息可以实现患者耦合多舒适程度的在线诊断。

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