Albrecht, Nils ChristianNils ChristianAlbrechtLanger, DominikDominikLangerKrauss, DanielDanielKraussRicher, RobertRobertRicherAbel, LucaLucaAbelEskofier, Bjoern M.Bjoern M.EskofierRohleder, NicolasNicolasRohlederKölpin, AlexanderAlexanderKölpin2024-09-242024-09-242024-06-28IEEE Open Journal of Engineering in Medicine and Biology 5: 725-734 (2024-06-28)https://hdl.handle.net/11420/49169In biomedical monitoring, non-intrusive and continuous tracking of vital signs is a crucial yet challenging objective. Although accurate, traditional methods, such as electrocardiography (ECG) and photoplethysmography (PPG), necessitate direct contact with the patient, posing limitations for long-term and unobtrusive monitoring. To address this challenge, we introduce the EmRad system, an innovative solution harnessing the capabilities of continuous-wave (CW) radar technology for the contactless detection of vital signs, including heart rate and respiratory rate. EmRad discerns itself by emphasizing miniaturization, performance, scalability, and its ability to generate large-scale datasets in various environments. This article explains the system's design, focusing on signal processing strategies and motion artifact reduction to ensure precise vital sign extraction. The EmRad system's versatility is showcased through various case studies, highlighting its potential to transform vital sign monitoring in research and clinical contexts.en2644-12762024725734IEEEhttps://creativecommons.org/licenses/by-nc-nd/4.0/Biomedical monitoringdoppler radarmachine learningMLE@TUHHTechnology::610: Medicine, HealthTechnology::620: EngineeringComputer Science, Information and General Works::004: Computer SciencesJournal Article10.15480/882.1331710.1109/OJEMB.2024.342024110.15480/882.13317Journal Article