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 | URI: | http://hdl.handle.net/11420/15022 | ISBN: | 978-1-6654-9344-4 | Institute: | Hochfrequenztechnik E-3 | Document Type: | Chapter/Article (Proceedings) |
Appears in Collections: | Publications without fulltext |
Show full item record
Google ScholarTM
Check
Add Files to Item
Note about this record
Cite this record
Export
Items in TORE are protected by copyright, with all rights reserved, unless otherwise indicated.