2026-10-12T21:14:20Z https://www.scidb.cn/oai

10.57760/sciencedb.010gz 2026-08-28T10:29:38Z

2026-08-28 Synchronized Overnight Polysomnography and IR-UWB Radar Dataset for Sleep Apnea-Hypopnea Analysis doi:10.57760/sciencedb.010gz en This dataset provides synchronized overnight polysomnography (PSG) and impulse-radio ultra-wideband (IR-UWB) radar recordings collected from 60 participants during clinical sleep-laboratory examinations. The dataset is intended to support research on contactless sleep monitoring, sleep apnea-hypopnea analysis, radar-based respiratory signal processing, and multimodal physiological signal analysis.Each participant record includes time-aligned PSG-derived information and raw radar measurements. The PSG data include epoch-level sleep-stage labels, thoracic and abdominal respiratory effort signals, heart rate, breathing rate, and event-level clinical annotations. Annotated events include obstructive apnea, hypopnea, respiratory effort-related arousal, oxygen desaturation, snoring, arousal, and leg movements. The radar data include raw fast-time/slow-time intensity matrices acquired using an X4M02 IR-UWB radar module at 10 frames per second. Compensated timestamps are provided to support temporal alignment between radar and PSG modalities.The repository also includes MATLAB scripts for loading the synchronized data, extracting radar-derived respiratory waveforms, estimating apnea-hypopnea event burden, and reproducing the technical validation analysis described in the associated manuscript. The dataset can be used for developing and benchmarking radar-based respiratory monitoring methods, apnea-hypopnea event estimation algorithms, sleep-stage or multimodal learning models, and subject-wise machine-learning evaluation frameworks.All shared records are de-identified and provided in MATLAB-compatible file formats. Users should refer to the accompanying README file for data structure, variable definitions, event-label mapping, code usage, and recommended analysis procedures. polysomnography; radar; IR-UWB radar; sleep apnea; hypopnea; apnea-hypopnea index; sleep monitoring; respiratory monitoring; contactless sensing; machine learning Yuna Lee Sung Ho Cho Sunwoo Kim Seok Hyun Cho PUBLIC https://creativecommons.org/licenses/by/4.0/ dataset Science Data Bank