Accurate heart beat detection with doppler radar using bidirectional GRU network

Start Page
52
End Page
54
Citation
IEEE Radio and Wireless Symposium (RWS 2023)
Contribution to Conference
IEEE Radio and Wireless Symposium, RWS 2023  
Publisher DOI
10.1109/RWS55624.2023.10046202
Scopus ID
2-s2.0-85149333717
Publisher
IEEE
ISBN of container
978-1-6654-9344-4
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.
Subjects
continuous wave radar
gated recurrent unit
heart rate monitoring
machine learning
signal processing
MLE@TUHH
DDC Class
540: Chemie
600: Technik
660: Technische Chemie