ADARP

ADARP数据集是由华盛顿州立大学创建，专注于酒精使用障碍患者的压力和酒精复发量化研究。该数据集包含11名参与者的生理数据和自我报告结果，通过Empatica E4腕带实时收集，包括心率、皮肤电导、皮肤温度和身体运动等指标。数据集的创建过程涉及参与者在14天内完成每日日记和生态瞬时评估（EMA），以及定性访谈。该数据集的应用领域主要集中在移动健康和机器学习，旨在通过生理信号监测和分类压力，以改善酒精使用障碍患者的治疗和康复。

The ADARP dataset was created by Washington State University, focusing on quantitative research on stress and alcohol relapse among patients with alcohol use disorder. This dataset contains physiological data and self-reported outcomes from 11 participants, which were collected in real time via Empatica E4 wristbands, including metrics such as heart rate, skin conductance, skin temperature and body movement. The dataset creation process involved participants completing daily diaries and Ecological Momentary Assessments (EMA) over a 14-day period, as well as qualitative interviews. Its main application fields are mobile health and machine learning, aiming to improve the treatment and rehabilitation of patients with alcohol use disorder by monitoring and classifying stress through physiological signals.