PADS - Parkinsons Disease Smartwatch dataset

Parkinson’s disease (PD) is the second-most common neurodegenerative disorder, while incidence and worldwide burden are further increasing. In the era of digital health transformation, smart devices and mobile sensors, including smartphones and smartwatches, can provide an affordable source to capture and analyse digital objective biomarkers. These can aid in early diagnosis and studying phenotypical characteristics. The Parkinson’s Disease Smartwatch (PADS) dataset comprises clinical assessments of a broad spectrum of PD patients, other similar movement disorders and healthy controls. The assessments were recorded using a smart-device-based system consisting of two smartwatches and one smartphone. The two smartwatches were worn on each of the patient’s wrists and their sensors synchronously recorded 11 interactive movement tasks that were designed by expert neurologists to provoke subtle changes in movement pathologies. In total, 5159 measurement steps of 469 individuals were captured. The PADS dataset includes all acceleration and rotation sensor signals, as well as details on movement steps, demographics, medical history, and PD-specific non-motor symptoms. We believe that our extensively annotated dataset provides a well-suited data foundation for the training, validation, and optimisation of future technology- and sensor-driven systems for movement disorders.

帕金森病（PD）作为最常见的神经退行性疾病之一，其发病率及全球负担仍在持续上升。在数字化健康转型的时代背景下，智能设备与移动传感器，包括智能手机和智能手表，可作为一种经济实惠的数据采集与分析手段，以捕捉和分析数字化的客观生物标志物。这些标志物有助于早期诊断和研究表型特征。帕金森病智能手表（PADS）数据集包含了对广泛帕金森病患者、其他类似运动障碍患者及健康对照者的临床评估。评估数据通过一套基于智能设备的系统进行记录，该系统由两部智能手表和一部智能手机组成。两部智能手表分别佩戴在每位患者的双腕上，其传感器同步记录了由神经病学专家设计的11项互动运动任务，旨在引发运动病理学的微妙变化。总计捕获了469位个体的5159个测量步骤。PADS数据集包括所有加速度和旋转传感器信号，以及运动步骤、人口统计学、病史和帕金森病特异性的非运动症状的详细信息。我们相信，我们广泛标注的数据集为训练、验证和优化未来以技术和传感器驱动的运动障碍系统提供了理想的数据基础。