Haaglanden Medisch Centrum sleep staging database

A collection of 151 whole-night polysomnographic (PSG) sleep recordings (85 Male, 66 Female, mean Age of 53.9 ± 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, 简称HMC）睡眠中心采集的151例整夜多导睡眠图（polysomnographic, PSG）记录，其中男性85例、女性66例，平均年龄为53.9±15.4岁。患者记录均经随机遴选，涵盖因各类睡眠障碍转诊接受PSG检查的异质性人群。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睡眠技师完成的睡眠模式评分对应事件标注（睡眠分期图，hypnogram）。本数据集作为一项研究的组成部分采集完成，该研究旨在评估自动睡眠评分算法在多组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

该数据集包含151份来自荷兰Haaglanden医疗中心的整夜多导睡眠图记录，涵盖EEG、EOG、EMG和ECG信号及睡眠分期注释，主要用于开发验证跨数据库泛化的自动睡眠分期算法。数据符合AASM标准，包含不同睡眠障碍患者的异质性样本。