Lu H, Heyder M, Wenzel M, Albrecht NC, Langer D, Koelpin A (2023)
Publication Type: Conference contribution
Publication year: 2023
Publisher: IEEE Computer Society
Book Volume: 2023-January
Pages Range: 52-54
Conference Proceedings Title: IEEE Radio and Wireless Symposium, RWS
ISBN: 9781665493444
DOI: 10.1109/RWS55624.2023.10046202
Heart rate is one of the most critical and important vital signs in healthcare. While electrocardiography (ECG) is gold-standard procedure for heart rate monitoring, contactless monitoring is preferred in many applications like long-term monitoring. Radar systems enable contactless sensing by measuring small movements on the chest induced by the heart beat. In this paper, we present a machine learning-based method using a bidirectional gated recurrent unit (bi-GRU) network for accurate heartbeat detection. Band-pass filtered in-phase (I) and quadrature (Q) signals in heart sound and pulse wave frequency ranges were fused. The proposed method achieves a high F1 score of 98.06% for heart beat detection, thus outperforming the state-of-the-art method with an F1 score of 95.62% in the resting scenario. In the tilt-up scenario with the tilt table, F1 score is significantly improved by 10%. Besides, a median inter-beat intervals (IBIs) RMSE of only 22.07 ms in the resting scenario is realized.
APA:
Lu, H., Heyder, M., Wenzel, M., Albrecht, N.C., Langer, D., & Koelpin, A. (2023). Accurate Heart Beat Detection with Doppler Radar using Bidirectional GRU Network. In IEEE Radio and Wireless Symposium, RWS (pp. 52-54). Las Vegas, NV, US: IEEE Computer Society.
MLA:
Lu, Hui, et al. "Accurate Heart Beat Detection with Doppler Radar using Bidirectional GRU Network." Proceedings of the 2023 IEEE Radio and Wireless Symposium, RWS 2023, Las Vegas, NV IEEE Computer Society, 2023. 52-54.
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