Dai Houde, Zhang Pengyue, Lueth Tim C
Quanzhou Institute of Equipment Manufacturing, Haixi Institutes, Chinese Academy of Sciences, Bolan Av., Jinjiang 362200, China.
Institute of Micro Technology and Medical Device Technology, Technische Universitaet Muenchen, 85748 Garching, Germany.
Sensors (Basel). 2015 Sep 29;15(10):25055-71. doi: 10.3390/s151025055.
Quantitative assessment of parkinsonian tremor based on inertial sensors can provide reliable feedback on the effect of medication. In this regard, the features of parkinsonian tremor and its unique properties such as motor fluctuations and dyskinesia are taken into account. Least-square-estimation models are used to assess the severities of rest, postural, and action tremors. In addition, a time-frequency signal analysis algorithm for tremor state detection was also included in the tremor assessment method. This inertial sensor-based method was verified through comparison with an electromagnetic motion tracking system. Seven Parkinson's disease (PD) patients were tested using this tremor assessment system. The measured tremor amplitudes correlated well with the judgments of a neurologist (r = 0.98). The systematic analysis of sensor-based tremor quantification and the corresponding experiments could be of great help in monitoring the severity of parkinsonian tremor.
基于惯性传感器对帕金森震颤进行定量评估,可以为药物疗效提供可靠反馈。在这方面,考虑了帕金森震颤的特征及其诸如运动波动和异动症等独特属性。采用最小二乘估计模型来评估静止性、姿势性和动作性震颤的严重程度。此外,震颤评估方法中还纳入了一种用于震颤状态检测的时频信号分析算法。这种基于惯性传感器的方法通过与电磁运动跟踪系统进行比较得到了验证。七名帕金森病(PD)患者使用该震颤评估系统进行了测试。测得的震颤幅度与神经科医生的判断具有良好的相关性(r = 0.98)。基于传感器的震颤量化系统分析及相应实验,对于监测帕金森震颤的严重程度可能会有很大帮助。