Healthcare Research Institute (i+12), Hospital Universitario 12 de Octubre, Madrid, Spain; Neurology Section, Hospital Virgen de la Poveda, Villa del Prado, Madrid, Spain; Medicine Department, Faculty of Medicine, Universidad Complutense Madrid (UCM), Spain.
Neural and Cognitive Engineering Group, Centro de Automática y Robótica (CAR), CSIC-UPM, Madrid, Spain.
J Neurol Sci. 2019 Jun 15;401:37-42. doi: 10.1016/j.jns.2019.04.011. Epub 2019 Apr 9.
Wearable technology used in Parkinson's disease (PD) research has become an increasing focus of interest in this field. Our group assessed the feasibility, clinical correlation, reliability, and acceptance of smartwatches in order to quantify arm resting tremors in PD patients. An Android application on a smartwatch was used to obtain raw data from the smartwatch's gyroscopes. Twenty-two PD patients were consecutively recruited and followed for 1 year. Arm rest tremors were video filmed and scored by two independent raters using the motor subscale of the Unified Parkinson's Disease Rating Scale (UPDRS-III). The tremor intensity parameter was defined by the root mean square of the angular speed measured by the smartwatch at the wrist. Sixty-four smartwatch evaluations were completed. The Spearman coefficient among the mean of the resting tremor (UPDRS-III) scores and smartwatch measurements for tremor intensity was 0.81 (p < .001); smartwatch reliability to quantify tremors was checked by intraclass reliability coefficient with a resting tremor = 0.89, minimum detectable change = 59.03%. Good acceptance of the system was shown. Smartwatch use for PD tremor analysis is possible, reliable, well-correlated with clinical scores, and well-accepted by patients for clinical follow-up. The results from these experiments suggest that this commodity hardware has the potential to quantify PD patients' tremors objectively in a consulting-room.
可穿戴技术在帕金森病 (PD) 研究中的应用已成为该领域日益关注的焦点。我们的研究小组评估了智能手表在量化 PD 患者手臂静止性震颤方面的可行性、临床相关性、可靠性和可接受性。智能手表上的 Android 应用程序用于从智能手表的陀螺仪获取原始数据。连续招募了 22 名 PD 患者，并进行了 1 年的随访。使用统一帕金森病评定量表 (UPDRS-III) 的运动子量表，由两名独立的评估者对手臂静止性震颤进行视频拍摄和评分。震颤强度参数定义为智能手表在手腕处测量的角速度的均方根。共完成了 64 次智能手表评估。静止性震颤（UPDRS-III）评分和智能手表测量的震颤强度平均值之间的 Spearman 系数为 0.81（p<0.001）；通过内类相关系数检查了智能手表定量震颤的可靠性，静止性震颤=0.89，最小可检测变化=59.03%。系统的接受度良好。智能手表可用于 PD 震颤分析，具有可靠性、与临床评分高度相关，且患者易于接受，可用于临床随访。这些实验的结果表明，这种商品硬件有可能在诊室中客观地量化 PD 患者的震颤。
