Kassavetis Panagiotis, Saifee Tabish A, Roussos George, Drougkas Loukas, Kojovic Maja, Rothwell John C, Edwards Mark J, Bhatia Kailash P
Sobell Department of Motor Neuroscience and Movement Disorders UCL Institute of Neurology Queen Square London United Kingdom.
Department of Neurology Boston University Boston Massachusetts USA.
Mov Disord Clin Pract. 2015 Oct 20;3(1):59-64. doi: 10.1002/mdc3.12239. eCollection 2016 Jan-Feb.
The natural fluctuation of motor symptoms of Parkinson's disease (PD) makes judgement of any change challenging and the use of clinical scales such as the International Parkinson and Movement Disorder Society (MDS)-UPDRS imperative. Recently developed commodity mobile communication devices, such as smartphones, could possibly be used to assess motor symptoms in PD patients in a convenient way with low cost. We provide the first report on the development and testing of stand-alone software for mobile devices that could be used to assess both tremor and bradykinesia of PD patients.
We assessed motor symptoms with a custom-made smartphone application in 14 patients and compared the results with their MDS-UPDRS scores.
We found significant correlation between five subscores of MDS-UPDRS (rest tremor, postural tremor, pronation-supination, leg agility, and finger tapping) and eight parameters of the data collected with the smartphone.
These results provide evidence as a proof of principle that smartphones could be a useful tool to objectively assess motor symptoms in PD in clinical and experimental settings.
帕金森病（PD）运动症状的自然波动使得判断任何变化都具有挑战性，因此使用国际帕金森和运动障碍协会（MDS）-统一帕金森病评定量表（UPDRS）等临床量表势在必行。最近开发的商用移动通信设备，如智能手机，可能以低成本、便捷的方式用于评估PD患者的运动症状。我们首次报告了一种可用于评估PD患者震颤和运动迟缓的移动设备独立软件的开发和测试情况。
我们使用一款定制的智能手机应用程序对14例患者的运动症状进行了评估，并将结果与他们的MDS-UPDRS评分进行了比较。
我们发现MDS-UPDRS的五个子评分（静止性震颤、姿势性震颤、旋前-旋后、腿部灵活性和手指轻敲）与智能手机收集的数据的八个参数之间存在显著相关性。
这些结果作为原理证明提供了证据，表明智能手机可能是在临床和实验环境中客观评估PD运动症状的有用工具。
