Accurate heart beat detection with doppler radar using bidirectional GRU network

Link:
Autor/in:
Verlag/Körperschaft:
Hamburg University of Technology
Erscheinungsjahr:
2023
Medientyp:
Text
Schlagworte:
  • continuous wave radar
  • gated recurrent unit
  • heart rate monitoring
  • machine learning
  • signal processing
  • 540: Chemie
  • 600: Technik
  • 660: Technische Chemie
Beschreibung:
  • 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.
Beziehungen:
DOI 10.1109/RWS55624.2023.10046202
Quellsystem:
TUHH Open Research

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Quelldatensatz
oai:tore.tuhh.de:11420/15022