帕金森病震颤为主型、姿势性不稳和步态障碍亚型的客观分类方法：一项初步研究
TOWARD AN OBJECTIVE METHOD TO CLASSIFY TREMOR DOMINANT AND POSTURAL INSTABILITY AND GAIT DIFFICULTY SUBTYPES OF PARKINSON'S DISEASE: A PILOT STUDY.
作者信息
Rezvanian Saba, Lockhart Thurmon, Frames Christopher, Soangra Rahul
机构信息
Locomotion Research Laboratory, School of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ, USA.
Barrow Neurological Institute, Phoenix, AZ, USA.
出版信息
Biomed Sci Instrum. 2017 Mar-Apr;53:138-142.
Discriminating the two subtypes of tremor dominant (TD) and postural instability/gait difficulty (PIGD) in Parkinson's disease (PD) at early stage is highly valuable and crucial for progression treatment of disease for caregivers. However, there is no objective method or a subtype-specific biomarker yet available for identifying these two subtypes. A computational approach in frequency domain could be a good candidate to introduce biomarker since PD tremor had frequency range of 3-7 Hz. By using frequency component of the whole body Center Of Pressure (COP) signal, we propose a ratio between high and low frequency range. To evaluate this ratio, COP data of ten PD patients were utilized. The results suggest that identifying PD subtypes is attainable by using the frequency information of COP signals.
在帕金森病（PD）早期区分震颤为主型（TD）和姿势不稳/步态障碍型（PIGD）这两种亚型，对护理人员进行疾病进展治疗非常有价值且至关重要。然而，目前尚无客观方法或亚型特异性生物标志物可用于识别这两种亚型。由于PD震颤的频率范围为3 - 7Hz，频域中的计算方法可能是引入生物标志物的良好候选方法。通过使用全身压力中心（COP）信号的频率成分，我们提出了高低频范围之间的比率。为了评估该比率，利用了10名PD患者的COP数据。结果表明，利用COP信号的频率信息可以实现对PD亚型的识别。
Zotero 插件