| 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  Heyer, Markus Wenzel, Marvin Langer, Dominik Lu, Hui Kölpin, Alexander |
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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