CW Radar-based Non-Contact Respiration Monitoring using Complex-Valued Neural Networks

Lu H, Ostgathe C, Koelpin A, Steigleder T (2024)

Publication Language: English

Publication Type: Conference contribution

Publication year: 2024

Publisher: Institute of Electrical and Electronics Engineers Inc.

Pages Range: 320-323

Conference Proceedings Title: 2024 21st European Radar Conference (EuRAD)

Event location: Paris FR

ISBN: 9782874870798

DOI: 10.23919/EuRAD61604.2024.10734873

Abstract

Machine learning-based respiration monitoring using continuous wave (CW) radar has been studied. However, most of the models are real-valued (RV), which only takes the magnitude of signals as input. Complex-valued (CV) signals can be formulated from radar baseband signals. In this paper, we compare CV-based and equivalent RV-based neural networks (NN) models to reconstruct the respiration signal with the 61 GHz CW radar. We demonstrate two model structures, a fully connected NN (FCNN) and a combination of the convolutional network and bidirectional gated recurrent units (ConVGRU), in CV-based and equivalent RV-based models, respectively. Ten hours of measurements from a clinical study are used to validate the performance. ConVGRU surpasses FCNN in both RV and CV. CV-based ConVGRU outperforms the RV-based ConVGRU with a smaller average breathing rate error of 0.55 breaths per minute (bpm), with more than 93% of the measurements achieving an error of less than 2 bpm.

Authors with CRIS profile

Christoph Ostgathe Professur für Palliativmedizin Tobias Steigleder Department of Palliative Medicine

Related research project(s)

Empathokinästhetische Messung und Bewegungsmustererkennung als Biomarker für Gesundheitszustand (SFB 1483 EmpkinS D05) Empatho-Kinaesthetic Sensor Technology (SFB 1483 EmpkinS) July 1, 2021 - June 30, 2025

Involved external institutions

Brandenburgische Technische Universität Cottbus-Senftenberg (BTU) DE Germany (DE) Technische Universität Hamburg-Harburg (TUHH) DE Germany (DE)

How to cite

APA:

Lu, H., Ostgathe, C., Koelpin, A., & Steigleder, T. (2024). CW Radar-based Non-Contact Respiration Monitoring using Complex-Valued Neural Networks. In 2024 21st European Radar Conference (EuRAD) (pp. 320-323). Paris, FR: Institute of Electrical and Electronics Engineers Inc..

MLA:

Lu, Hui, et al. "CW Radar-based Non-Contact Respiration Monitoring using Complex-Valued Neural Networks." Proceedings of the 21st European Radar Conference, EuRAD 2024, Paris Institute of Electrical and Electronics Engineers Inc., 2024. 320-323.

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