Albrecht NC, Heyer M, Wenzel M, Langer D, Lu H, Koelpin A (2023)
Publication Type: Conference contribution
Publication year: 2023
Publisher: IEEE Computer Society
Book Volume: 2023-January
Pages Range: 34-36
Conference Proceedings Title: IEEE Radio and Wireless Symposium, RWS
ISBN: 9781665493444
DOI: 10.1109/RWS55624.2023.10046319
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.
APA:
Albrecht, N.C., Heyer, M., Wenzel, M., Langer, D., Lu, H., & Koelpin, A. (2023). Long-Distance Heart Sound Detection using 122 GHz CW Radar with 3D Printed High-Gain Antennas. In IEEE Radio and Wireless Symposium, RWS (pp. 34-36). Las Vegas, NV, US: IEEE Computer Society.
MLA:
Albrecht, Nils C., et al. "Long-Distance Heart Sound Detection using 122 GHz CW Radar with 3D Printed High-Gain Antennas." Proceedings of the 2023 IEEE Radio and Wireless Symposium, RWS 2023, Las Vegas, NV IEEE Computer Society, 2023. 34-36.
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