Albrecht, Nils ChristianNils ChristianAlbrechtHeyer, MarkusMarkusHeyerWenzel, MarvinMarvinWenzelLanger, DominikDominikLangerLu, HuiHuiLuKölpin, AlexanderAlexanderKölpin2023-03-172023-03-172023-01IEEE Radio and Wireless Symposium (RWS 2023)http://hdl.handle.net/11420/15017This contribution presents a 122 GHz continuous wave (CW) radar system capable of detecting human heart sounds over a distance of at least five meters. A bidirectional long short-term memory (LSTM) neural network is used to extract precise inter-beat-intervals (IBIs) from the radar data. A small-scale human trial with two persons is carried out, and the resulting accuracy of the system is compared to a gold-standard electrocardiogram (ECG). The proposed system shows a mean absolute error of 5 ms and a standard deviation (SD) of 63 ms compared to the ECG IBIs.encontinuous wave radarmachine learningvital sign detectionMLE@TUHHInformatikTechnikMedizinIngenieurwissenschaftenConference Paper10.1109/RWS55624.2023.10046319Conference Paper