Haaglanden Medisch Centrum sleep staging database

A collection of 154 whole-night polysomnographic (PSG) sleep recordings (88 Male, 66 Female, mean Age of 53.8 ± 15.4) collected during 2018 at the Haaglanden Medisch Centrum (HMC, The Netherlands) sleep center. Patient recordings were randomly selected and include a heterogeneous population which was referred for PSG examination on the context of different sleep disorders. The dataset contains electroencephalographic (EEG), electrooculographic (EOG), chin electromyographic (EMG), and electrocardiographic (ECG) activity, as well as event annotations corresponding to scoring of sleep patterns (hypnogram) performed by sleep technicians at HMC. The dataset was collected as part of a study evaluating the generalization performance of an automatic sleep scoring algorithm across multiple heterogeneous datasets.本数据集包含2018年于荷兰海牙兰登医学中心（Haaglanden Medisch Centrum, HMC）睡眠中心采集的154例整夜多导睡眠图（polysomnographic, PSG）睡眠监测记录，其中男性88例、女性66例，平均年龄为53.8±15.4岁。所有患者的监测记录均经随机选取，涵盖因各类睡眠障碍就诊并接受PSG检查的异质性人群。 本数据集包含脑电图（electroencephalographic, EEG）、眼电图（electrooculographic, EOG）、颏肌肌电图（chin electromyographic, EMG）及心电图（electrocardiographic, ECG）信号，同时包含由HMC睡眠技师完成的与睡眠模式评分对应的事件标注（睡眠分期图，hypnogram）。 本数据集为一项研究的组成部分，该研究旨在评估自动睡眠评分算法在多异质性数据集间的泛化性能。

搜集汇总

背景与挑战

背景概述

该数据集是Haaglanden Medisch Centrum睡眠分期数据库，包含154个整夜多导睡眠监测记录，来自2018年在荷兰HMC睡眠中心收集的异质性患者群体，平均年龄53.8岁。数据集包括脑电图、眼电图、肌电图和心电图等多种生理信号，以及睡眠技师标注的睡眠模式事件，主要用于评估自动睡眠评分算法的跨数据集泛化性能。