Obstructive Sleep Apnea Prediction Data

The database consists of two full datasets. The first dataset is the collection of 20 records gathered from 14 OSA patients as part of the Apnea-ECG Database.The second dataset consists of 10 records from 10 subjects, who were selected based on the quality of the signals, from St. Vincent’s University Hospital/ University College Dublin (UCD Database) sleep apnea database (http://www.physionet.org/pn3/ucddb/). The OSA annotations are in minute-wise scored offline by experienced sleep physicians using polysomnography (PSG) signals. The PSG signals recorded were EEG, EOG, EMG, ECG, nasal airflow, ribcage movements, abdomen movements, oxygen saturation (finger pulse oximeter), snoring (tracheal microphone), and body position. All subjects have been clinically diagnosed with mild to severe OSA.

本数据库包含两套完整数据集。第一套数据集为呼吸暂停心电图数据库(Apnea-ECG Database)的组成部分，收录了从14名阻塞性睡眠呼吸暂停(Obstructive Sleep Apnea, OSA)患者身上采集的20条记录。第二套数据集源自圣文森特大学医院与都柏林大学学院的UCD睡眠呼吸暂停数据库，该数据集依据信号质量筛选出10名受试者，共包含10条记录，数据源网址为http://www.physionet.org/pn3/ucddb/。阻塞性睡眠呼吸暂停的标注由资深睡眠医师采用多导睡眠图(Polysomnography, PSG)信号完成离线每分钟级评分。本次采集的多导睡眠图信号涵盖脑电图(Electroencephalogram, EEG)、眼电图(Electrooculogram, EOG)、肌电图(Electromyogram, EMG)、心电图(Electrocardiogram, ECG)、鼻气流、胸廓运动、腹部运动、血氧饱和度（指脉氧仪检测）、打鼾（气管麦克风采集）以及体位信息。所有受试者均经临床确诊为轻度至重度阻塞性睡眠呼吸暂停。

搜集汇总

背景与挑战

背景概述

该数据集包含34名阻塞性睡眠呼吸暂停患者的生理信号数据，主要用于开发预测OSA发作的算法。数据集整合了多模态生理信号，包括心电、脑电、血氧等指标，所有患者均被临床确诊为轻度至重度OSA。