Radar-Based Heart Sound Detection

Journal article
(Online publication)

Publication Details

Author(s): Will C, Shi K, Schellenberger S, Steigleder T, Michler F, Fuchs J, Weigel R, Ostgathe C, Kölpin A
Journal: Scientific Reports
Publication year: 2018
ISSN: 2045-2322


This paper introduces heart sound detection by radar systems, which enables touch-free and continuous monitoring of heart sounds. The proposed measurement principle entails two enhancements in modern vital sign monitoring. First, common touch-based auscultation with a phonocardiograph can be simplified by using biomedical radar systems. Second, detecting heart sounds offers a further feasibility in radar-based heartbeat monitoring. To analyse the performance of the proposed measurement principle, 9930 seconds of eleven persons-under-tests' vital signs were acquired and stored in a database using multiple, synchronised sensors: a continuous wave radar system, a phonocardiograph (PCG), an electrocardiograph (ECG), and a temperature-based respiration sensor. A hidden semi-Markov model is utilised to detect the heart sounds in the phonocardiograph and radar data and additionally, an advanced template matching (ATM) algorithm is used for state-of-the-art radar-based heartbeat detection. The feasibility of the proposed measurement principle is shown by a morphology analysis between the data acquired by radar and PCG for the dominant heart sounds S1 and S2: The correlation is 82.97 ± 11.15% for 5274 used occurrences of S1 and 80.72 ± 12.16% for 5277 used occurrences of S2. The performance of the proposed detection method is evaluated by comparing the F-scores for radar and PCG-based heart sound detection with ECG as reference: Achieving an F1 value of 92.22 ± 2.07%, the radar system approximates the score of 94.15 ± 1.61% for the PCG. The accuracy regarding the detection timing of heartbeat occurrences is analysed by means of the root-mean-square error: In comparison to the ATM algorithm (144.9 ms) and the PCG-based variant (59.4 ms), the proposed method has the lowest error value (44.2 ms). Based on these results, utilising the detected heart sounds considerably improves radar-based heartbeat monitoring, while the achieved performance is also competitive to phonocardiography.

FAU Authors / FAU Editors

Fuchs, Jonas
Lehrstuhl für Technische Elektronik
Michler, Fabian
Lehrstuhl für Technische Elektronik
Ostgathe, Christoph Prof. Dr.
Professur für Palliativmedizin
Schellenberger, Sven
Lehrstuhl für Technische Elektronik
Shi, Kilin
Lehrstuhl für Technische Elektronik
Weigel, Robert Prof. Dr.-Ing.
Lehrstuhl für Technische Elektronik
Will, Christoph
Lehrstuhl für Technische Elektronik

External institutions with authors

Brandenburgische Technische Universität Cottbus-Senftenberg (BTU)

How to cite

Will, C., Shi, K., Schellenberger, S., Steigleder, T., Michler, F., Fuchs, J.,... Kölpin, A. (2018). Radar-Based Heart Sound Detection. Scientific Reports. https://dx.doi.org/10.1038/s41598-018-29984-5

Will, Christoph, et al. "Radar-Based Heart Sound Detection." Scientific Reports (2018).


Last updated on 2019-19-04 at 10:06