Parkinson@Home - IMU sensor data and video annotations for arm swing quantification in free-living gait

The Parkinson@Home reference data set is intended for the development of digital biomarkers to monitor persons with PD in daily life. Specifically, a group of 25 patients with PD with motor fluctuations and 25 age-matched controls performed unscripted daily activities in and around their homes for at least one hour while being recorded on video. Patients with PD did this twice: once after overnight withdrawal of dopaminergic medication and again 1 hour after medication intake. Participants wore sensors on both wrists, capturing movement and contextual data. This project space contains wrist-worn sensor data, manual video annotations of activity and arm activities during gait, and clinical data relevant for characterizing disease status. The sensor data consists of accelerometer and gyroscope measurements, which were sampled at a 200 Hz frequency.Parkinson@Home参考数据集旨在开发数字生物标志物，用于监测日常生活中的帕金森病（Parkinson's Disease，PD）患者。具体而言，25名伴有运动波动的PD患者与25名年龄匹配的健康对照者，在居家及周边环境中开展非脚本化日常活动，时长至少一小时，期间通过视频进行录制。PD患者需完成两次测试：一次是在夜间停用多巴胺能药物后，另一次是在服药1小时后。所有参与者均在双腕佩戴传感器，采集运动与情境相关数据。 本项目空间包含腕部佩戴式传感器数据、日常活动及步态过程中上肢活动的人工视频标注，以及用于表征疾病状态的相关临床数据。传感器数据包含加速度计（accelerometer）与陀螺仪（gyroscope）的测量值，采样频率为200赫兹（Hz）。

搜集汇总

背景与挑战

背景概述

该数据集旨在开发数字生物标志物，以监测帕金森病（PD）患者在自由生活步态中的日常活动，特别关注手臂摆动量化。它包括25名PD患者和25名年龄匹配的对照组的数据，收集了手腕传感器（加速度计和陀螺仪，采样频率200 Hz）和视频注释，覆盖患者停药后和服药后的两个时间点，用于支持疾病状态分析和无脚本活动研究。