基于肢体加速度和关节角度参数检测的痉挛状态定量评定研究

Quantitative evaluation of spasticity based on joint acceleration and angle parameters detection

针对脑卒中患者痉挛状态难以精准量化评定的问题,提出了基于加速度和角度信号的痉挛状态量化评定方法,并研制了痉挛状态量化评定装置。通过分析患者肢体加速度和关节角度信号数据,提取加速度突变点对应的关节角度θ_(p)及关节活动度θ_(rom),计算θ_(p)/θ_(rom)值用于痉挛状态等级评定。使用改良Ashworth量表(modified Ashworth scale,MAS)和本装置对27名受试者进行临床实验,并针对不同肌肉群采用不同的痉挛状态检测方法。将MAS等级与θ_(p)/θ_(rom)值进行相关性分析,结果表明θ_(p)/θ_(rom)值可用于痉挛状态评估,且该装置具有很好的效度,相关性满足r=-0.869,P<0.05。基于MAS和θ_(p)/θ_(rom)值重新修正表示痉挛状态的MAS等级,结果表明修正后的MAS各等级之间具有显著差异(P<0.001),可以实现痉挛状态量化评定。

A quantitative assessment method of spasticity based on the fusion of acceleration and angle signals is proposed and corresponding device is developed to solve the difficult problem of accurate quantitative assessment of spasticity in stroke patients. By analyzing the limb acceleration and joint angle signal data, the joint angle(θ_(p)) and joint mobility(θ_(rom)) corresponding to the acceleration mutation point are extracted, and the θ_(p)/θ_(rom) value is calculated for the evaluation of spasticity status. The modified Ashworth scale(MAS) and the device were used in clinical experiments on 27 subjects, and different spasm detection methods were used for different muscle groups. The correlation analysis between MAS level and θ_(p)/θ_(rom) value shows that θ_(p)/θ_(rom) value can be used to assess spasticity state, and the device has good validity, the correlation meets r=-0.869, P<0.05. Based on MAS and θ_(p)/θ_(rom) values, the MAS grade indicating spasticity state was modified again. The results showed that there was significant difference between the modified MAS grades(P<0.001), which could realize quantitative evaluation of spasticity state.