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  4. Contactless analysis of heart rate variability during cold pressor test using radar interferometry and bidirectional LSTM networks
 
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Contactless analysis of heart rate variability during cold pressor test using radar interferometry and bidirectional LSTM networks

Citation Link: https://doi.org/10.15480/882.3292
Publikationstyp
Journal Article
Date Issued
2021-02-04
Sprache
English
Author(s)
Shi, Kilin  
Steigleder, Tobias  
Schellenberger, Sven  orcid-logo
Michler, Fabian  
Malessa, Anke  
Lurz, Fabian  
Rohleder, Nicolas  
Ostgathe, Christoph  
Weigel, Robert  
Kölpin, Alexander  orcid-logo
Institut
Hochfrequenztechnik E-3  
TORE-DOI
10.15480/882.3292
TORE-URI
http://hdl.handle.net/11420/8793
Journal
Scientific reports  
Volume
11
Issue
1
Article Number
3025
Citation
Scientific Reports 11 (1): 3025 (2021-12-01)
Publisher DOI
10.1038/s41598-021-81101-1
Scopus ID
2-s2.0-85100508119
Publisher
Macmillan Publishers Limited, part of Springer Nature
Contactless measurement of heart rate variability (HRV), which reflects changes of the autonomic nervous system (ANS) and provides crucial information on the health status of a person, would provide great benefits for both patients and doctors during prevention and aftercare. However, gold standard devices to record the HRV, such as the electrocardiograph, have the common disadvantage that they need permanent skin contact with the patient. Being connected to a monitoring device by cable reduces the mobility, comfort, and compliance by patients. Here, we present a contactless approach using a 24 GHz Six-Port-based radar system and an LSTM network for radar heart sound segmentation. The best scores are obtained using a two-layer bidirectional LSTM architecture. To verify the performance of the proposed system not only in a static measurement scenario but also during a dynamic change of HRV parameters, a stimulation of the ANS through a cold pressor test is integrated in the study design. A total of 638 minutes of data is gathered from 25 test subjects and is analysed extensively. High F-scores of over 95% are achieved for heartbeat detection. HRV indices such as HF norm are extracted with relative errors around 5%. Our proposed approach is capable to perform contactless and convenient HRV monitoring and is therefore suitable for long-term recordings in clinical environments and home-care scenarios.
DDC Class
600: Technik
More Funding Information
The research project GUARDIAN is supported by the Federal Ministry of Education and Research, Berlin, Germany, project grant No. 16SV7694.
Publication version
publishedVersion
Lizenz
https://creativecommons.org/licenses/by/4.0/
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