|Publisher DOI:||10.1109/RWS55624.2023.10046319||Title:||Long-distance heart sound detection using 122 GHz CW radar with 3D printed high-gain antennas||Language:||English||Authors:||Albrecht, Nils Christian
|Keywords:||continuous wave radar; machine learning; vital sign detection||Issue Date:||Jan-2023||Publisher:||IEEE||Source:||IEEE Radio and Wireless Symposium (RWS 2023): 34-36 (2023-01)||Abstract (english):||
This 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.
|Conference:||IEEE Radio and Wireless Symposium, RWS 2023||URI:||http://hdl.handle.net/11420/15017||ISBN:||978-1-6654-9344-4||Institute:||Hochfrequenztechnik E-3||Document Type:||Chapter/Article (Proceedings)|
|Appears in Collections:||Publications without fulltext|
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