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: Normal breathing – periodic movement of the patient’s torso as a result of the inhale and exhale. (label in "Labels Three Events.csv" file equal to 0) Apnea event – 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 "Labels Three Events.csv" file equal to 1) Other event – events that may occur during data collection, such as change of posture, leaving the bedroom etc. (label in "Labels Three Events.csv" 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 "Multiple Distances Three Events.csv" file of 5 x 171870.