Kostikis N, Hristu-Varsakelis D, Arnaoutoglou M, Kotsavasiloglou C
Annu Int Conf IEEE Eng Med Biol Soc. 2014;2014:906-9. doi: 10.1109/EMBC.2014.6943738.
With an ever-growing number of technologically advanced methods for the diagnosis and quantification of movement disorders, comes the need to assess their accuracy and see how they match up with widely used standard clinical assessment tools. This work compares quantitative measurements of hand tremor in twenty-three Parkinson's disease patients, with their clinical scores in the hand tremor components of the Unified Parkinson's Disease Rating Scale (UPDRS), which is considered the "gold standard" in the clinical assessment of the disease. Our measurements were obtained using a smartphone-based platform, which processes the phone's accelerometer and gyroscope signals to detect and measure hand tremor. The signal metrics used were mainly based on the magnitude of the acceleration and the rotation rate vectors of the device. Our results suggest relatively strong correlation (r>0.7 and p<;0.01) between the patients' UPDRS hand tremor scores and the signal metrics applied to the measured signals.
随着用于运动障碍诊断和量化的技术先进方法数量不断增加，有必要评估它们的准确性，并了解它们与广泛使用的标准临床评估工具的匹配程度。这项工作比较了23名帕金森病患者手部震颤的定量测量结果与他们在统一帕金森病评定量表（UPDRS）手部震颤部分的临床评分，该量表被认为是该疾病临床评估的“金标准”。我们的测量是使用基于智能手机的平台获得的，该平台处理手机的加速度计和陀螺仪信号以检测和测量手部震颤。所使用的信号指标主要基于设备加速度和旋转速率矢量的大小。我们的结果表明，患者的UPDRS手部震颤评分与应用于测量信号的信号指标之间存在相对较强的相关性（r>0.7且p<0.01）。
