2013/10/08 by Somayeh Kazemi, Kazemi, Somayeh, Ayaz Ghorbani +5 · 4 citations
Biochemistry, Genetics and Molecular Biology · Engineering · Medicine · Physics and Astronomy · #Acoustics #Computer science #Continuous-wave radar #Cyclostationary process #Doppler effect #Doppler radar #ECG Monitoring and Analysis #Electronic engineering #Engineering #FOS: Biological sciences #FOS: Physical sciences #Geology #Hemodynamic Monitoring and Therapy #Interference (communication) #Medical Physics (physics.med-ph) #Non-Invasive Vital Sign Monitoring #Physics #Pulse-Doppler radar #Quantitative Methods (q-bio.QM) #Radar #Radar imaging #Remote sensing #SIGNAL (programming language) #Telecommunications #physics.med-ph #q-bio.QM
paper · pdf · doi:10.48550/arxiv.1310.2293
published in arXiv (Cornell University) (Cornell University) · this manuscript has 9 pages, 14 figure and we want to submit it in Trans. Microw. Theory Tech
arxiv created 2013/10/08 · openalex publication_date 2013/10/08 · arxiv updated 2013/10/11 · openalex created_date 2016/06/24 · openalex updated_date 2026/07/28
Heart and respiration rate measurement using Doppler radar is a non-contact and non-obstructive way for remote thorough-clothing monitoring of vital signs. The modulated back-scattered radar signal in the presence of high noise and interference is non-stationary with hidden periodicities, which cannot be detected by ordinary Fourier analysis. In this paper we propose a cyclostationary approach for such signals and show that by using non-linear transformation and then Fourier analysis of the radar signal, the hidden periodicities can be accurately obtained. Numerical results show that the vital signs can be extracted as cyclic frequencies, independent of SNR and without any filtering or phase unwrapping.