Publisher DOI: 10.1109/RWS55624.2023.10046202
Title: Accurate heart beat detection with doppler radar using bidirectional GRU network
Language: English
Authors: Lu, Hui 
Heyder, Markus  
Wenzel, Marvin  
Albrecht, Nils Christian  
Langer, Dominik 
Kölpin, Alexander  
Keywords: continuous wave radar; gated recurrent unit; heart rate monitoring; machine learning; signal processing
Issue Date: Jan-2023
Publisher: IEEE
Source: IEEE Radio and Wireless Symposium (RWS 2023): 52-54 (2023)
Abstract (english): 
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.
Conference: IEEE Radio and Wireless Symposium, RWS 2023 
ISBN: 978-1-6654-9344-4
Institute: Hochfrequenztechnik E-3 
Document Type: Chapter/Article (Proceedings)
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