Polysomnography Dataset

该数据集是一个大型多导睡眠图数据集，精心筛选自超过14,000名参与者的数据，包含了超过100,000小时的多模态睡眠记录。该数据集不仅包含了年龄和性别等人口统计学属性，还提供了特定年龄组的患病率以及性别比例的具体信息。规模上，该数据集涵盖了超过14,000名参与者，以及100,000小时的记录。其任务旨在进行睡眠阶段分类和睡眠呼吸障碍检测。

This is a large-scale polysomnography dataset carefully curated from data of over 14,000 participants, containing more than 100,000 hours of multimodal sleep recordings. This dataset includes not only demographic attributes such as age and gender, but also detailed prevalence rates for specific age groups and specific information on gender ratios. In terms of scale, this dataset covers over 14,000 participants and 100,000 hours of sleep recordings. The core tasks supported by this dataset are sleep stage classification and sleep disordered breathing detection.