APNIWAVE: A Dataset Collected Using a Radar-Based Sleep-Apnea Screening Device for Use at Home

The "APNIWAVE: A Dataset Collected Using a Radar-Based Sleep-Apnea Screening Device for Use at Home" dataset was created by collecting data from 11 patients with Obstructive Sleep Apnea and Hypopnea Syndrome (OSAHS) using an UWB sensor, which was the X4M200 UWB radar sensor by Novelda and a Raspberry Pi 3 device, for the purposes of APNIWAVE project (EIT Health RIS Scheme, Project ID: Project ID 2021-RIS_Innovation-066). The dataset comprises 1,011 selected samples of 10 sec each (a total of about 3 hours), from three main events that are the most frequent during sleep: <em>Normal breathing</em> – periodic movement of the patient’s torso as a result of the inhale and exhale. (label in "<em>Labels Three Events.csv</em>" file equal to 0) <em>Apnea event</em> – based on the Apnea type, e.g. central Apnea or hypopnea, no torso movement or a periodic torso movement but weaker than normal breathing, respectively. (label in "<em>Labels Three Events.csv</em>" file equal to 1) <em>Other event</em> – events that may occur during data collection, such as change of posture, leaving the bedroom etc. (label in "<em>Labels Three Events.csv</em>" file equal to 2) Data from five distances are included for each 10 sec sample. More specifically, the central distance is the distance of the user from the radar; on top of that we added two more discrete distance steps (as designated by the radar range resolution) in front of and another two behind the user, thus totaling five distances from the radar. These five distances were selected from a set of 165 distance steps (from 0.5m to 9 m) considering a distance step of about 0.05144 m and a sampling rate of 17 Hz. As a consequence, the size of each sample (of 10 sec duration) is 5 x 170, which leads to a total size of the uploaded "<em>Multiple Distances Three Events.csv</em>" file of 5 x 171870."APNIWAVE：一款基于雷达式睡眠呼吸暂停居家筛查设备采集的数据集"由APNIWAVE项目创建，该项目隶属于EIT健康风险创新计划（RIS Scheme），项目编号为2021-RIS_Innovation-066。数据集采集自11名阻塞性睡眠呼吸暂停低通气综合征（Obstructive Sleep Apnea and Hypopnea Syndrome, OSAHS）患者，使用的设备为Novelda公司的X4M200超宽带（Ultra-Wideband, UWB）雷达传感器与树莓派3（Raspberry Pi 3）开发板。 该数据集共筛选得到1011段时长为10秒的样本（总时长约3小时），涵盖睡眠期间最常见的三类典型事件： 1. **正常呼吸（Normal breathing）**：患者因呼吸往复产生的躯干周期性运动，在"Labels Three Events.csv"文件中对应标签为0； 2. **呼吸暂停事件（Apnea event）**：根据呼吸暂停类型可分为中枢性呼吸暂停或低通气，分别对应无躯干运动，或躯干周期性运动幅度弱于正常呼吸，在"Labels Three Events.csv"文件中对应标签为1； 3. **其他事件（Other event）**：数据采集过程中可能出现的各类异常事件，例如体位改变、用户离开卧室等，在"Labels Three Events.csv"文件中对应标签为2。 每段10秒的样本均包含5个距离通道的采集数据。具体而言，中心距离为用户与雷达之间的实测距离；在此基础上，结合雷达的距离分辨率，额外在用户前方设置2个离散距离步长、后方设置2个离散距离步长，最终共获得5个与雷达对应的距离通道数据。该5个距离通道从覆盖0.5m至9m范围的165个预设距离步长中选取，步长约为0.05144m，采样率为17Hz。因此，单段10秒时长的样本数据维度为5×170，上传的"Multiple Distances Three Events.csv"文件总数据维度为5×171870。