基于可穿戴设备的帕金森震颤等级评定效果实验研究

Experimental Study on the Evaluation Effect of Tremor Rating of Parkinson's Disease Based on Wearable Equipment

为有助于医生做出客观、精准的判断,便于医生根据患者的病情变化对疗效做出恰当的评判。本研究通过给予相关人员穿戴配置加速度传感器的可穿戴设备,来采集上肢的震颤数据,并通过数据分析、建模、拟合等方法得到预测函数,从而对帕金森病患者的震颤情况进行定量评估。仿真和实验结果表明,采用本文算法的设备能够对帕金森病患者进行定量评估,从而辅助医生对患者病情诊断提供参考。

Aiming at helping doctors make objective and accurate judgments,doctors can make appropriate judgments based on the patients condition. In this study,the stun data of the upper limbs was collected by wearing relevant wearable devices equipped with accelerometers,and the predictive function was obtained by data analysis, modeling,fitting, etc. Thereby quantitatively evaluating the tremor of patients with Parkinsons disease. Simulation and expermental results showthat the device using this algorithm can quantitatively evaluate patients with Parkinsons disease,which can help doctors to provide reference for tte diagnosis of patients′ condition.