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疗中心（Haaglanden Medisch Centrum，简称HMC）睡眠中心采集的154份整夜多导睡眠图（polysomnographic, PSG）记录，其中男性88例、女性66例，受试者平均年龄为53.8±15.4岁。 受试者记录为随机选取，涵盖异质性人群，所有受试者均因各类睡眠障碍被转诊接受PSG检查。 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，同时附带由HMC睡眠技师完成的睡眠分期图谱（hypnogram）标注事件。 本数据集作为一项研究的一部分采集所得，该研究旨在评估自动睡眠分期算法在多类异质数据集上的泛化性能。

搜集汇总

背景与挑战

背景概述

该数据集包含154例整夜多导睡眠图记录，来自荷兰Haaglanden Medisch Centrum睡眠中心的异质性患者群体，包含EEG、EOG、EMG和ECG信号及人工标注的睡眠阶段，主要用于自动睡眠评分算法的跨数据库泛化性能研究。