Articles | Volume 19
17 Dec 2021
 | 17 Dec 2021

Developing of Algorithms Monitoring Heartbeat and Respiration Rate of a Seated Person with an FMCW Radar

Lorenz J. Dirksmeyer, Aly Marnach, Daniel Schmiech, and Andreas R. Diewald

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Cited articles

Barabell, A.: Improving the Resolution of Eigenstructure-based Direction-Finding Algorithms, IEEE, Boston, Massachusetts, USA, 1983. a, b
Boric-Lubecke, O., Lubecke, V., Droitcour, A., Park, B., and Singh, A.: Doppler Radar Physiological Sensing, John Wiley & Sons, Hoboken, New-Jersey, USA, 2016. a, b, c, d
Grubbs, F.: Sample Criteria for Testing Outlying Observations, University of Michigan, Ann Arbor, Michigan, USA, 1950. a, b
Karahasanovic, U., Stifter, T., Beise, H., Fox, A., and Tatarinov, D.: Mathematical Modelling and Simulations of Complex Breathing Patterns Detected by RADAR Sensors, 2018 19th International Radar Symposium (IRS), 1–10,, 2018.  a
Kiencke, U., Schwarz, M., and Weickert, T.: Signalverarbeitung – Zeit-Frequenz-Analyse und Schätzverfahren, Oldenbourg Verlag, Munich, Germany, 2008. a, b, c, d
Short summary
A radar working in the 24 GHz ISM-band in a frequency modulated continuous wave mode has been used for vital sign monitoring of the heart beat and the breathing rate. The observation is hereby contactless with the patient sitting straight up in a distance of 1–2 m to the radar. A mathematical method to calculate the heart beat and breathing rate is presented. The results are compared with classical ECG measurement equipment.