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（Parkinson's Disease, PD）是第二大常见的神经退行性疾病，其发病率与全球疾病负担正持续攀升。在数字健康转型的时代，包括智能手机与智能手表在内的智能设备及移动传感器，可提供经济可及的渠道以采集并分析数字化客观生物标志物，此类标志物可辅助早期诊断，并助力运动障碍表型特征的研究。帕金森病智能手表数据集（Parkinson's Disease Smartwatch Dataset, PADS）涵盖多类帕金森病患者、其他类似运动障碍患者以及健康对照者的临床评估数据。该类评估通过一套集成两块智能手表与一台智能手机的智能设备系统完成记录：两块智能手表分别佩戴于受试者双侧手腕，其传感器可同步采集11项由神经内科专家设计的互动式运动任务数据，此类任务旨在诱发运动病理特征的细微变化。本次研究共计采集469名受试者的5159组测量数据。PADS数据集涵盖全部加速度与旋转传感器信号，同时包含运动步骤信息、人口统计学资料、病史以及帕金森病特异性非运动症状的详细内容。我们认为，本数据集经过详尽标注，可为未来面向运动障碍疾病的技术与传感器驱动系统的训练、验证与优化提供适配性极佳的数据基础。

搜集汇总

背景与挑战

背景概述

PADS数据集是一个通过智能手表和智能手机收集的帕金森病相关运动数据集合，包含469名个体的5159个测量步骤，旨在为运动障碍的技术和传感器驱动系统提供训练和验证数据基础。数据集详细记录了加速度和旋转传感器信号、运动任务、人口统计和病史信息。