Thanawattano C, Anan C, Pongthornseri R, Dumnin S, Bhidayasiri R
Annu Int Conf IEEE Eng Med Biol Soc. 2015;2015:6054-7. doi: 10.1109/EMBC.2015.7319772.
Tremor is a common symptom shared in both Parkinson's disease (PD) and Essential tremor (ET) subjects. The differential diagnosis of PD and ET tremor is important since the treatment depends on specific medication. A novel feature was developed based on a hypothesis stating that the tremor of PD subject has a larger fluctuation while performing resting task than action task. Tremor signal was collected using a gyroscope sensor attached to subject's finger. The angular velocity signal was analyzed by transforming a one-dimensional to two-dimensional signal based on relation of different units of time-delay. The tremor fluctuation was defined as the area of 95% confidence ellipse covering the two-dimensional signal. Experimenting with 32 PD and 20 ET subjects, a ratio of fluctuation of resting to kinetic task can be a sensitive feature to discriminate PD from ET with 100% accuracy.
震颤是帕金森病（PD）和特发性震颤（ET）患者共有的常见症状。PD和ET震颤的鉴别诊断很重要，因为治疗取决于特定药物。基于一种假设开发了一种新特征，该假设指出，PD患者在执行静息任务时的震颤波动比执行动作任务时更大。使用附着在受试者手指上的陀螺仪传感器收集震颤信号。基于不同时间延迟单位的关系，通过将一维信号转换为二维信号来分析角速度信号。震颤波动被定义为覆盖二维信号的95%置信椭圆的面积。对32名PD患者和20名ET患者进行实验，静息任务与动态任务的波动比率可以作为区分PD和ET的敏感特征，准确率达100%。
