@inproceedings{5ff5ddcca2464f71850e3013ce9e11a4,
title = "Vital Signs Detection Using FMCW Radar",
abstract = "Non-contact vital signs monitoring has recently attracted the interest of several research sectors such as medicine, signal processing, agriculture, etc. Several radar sensors with unique features have been put forward. Various algorithms have also been developed. In this paper, an algorithm that deploys filtering, compressed sensing (CS), and wavelet decomposition is proposed. For validation, a publicly available dataset that was recorded using a frequency-modulated continuous wave (FMCW) radar was used. The results of the algorithm are then compared to a dataset recorded by a clinically approved vital sign monitoring sensor that was synchronized with the FMCW radar sensor during data acquisition.",
keywords = "CS, Fast Fourier Transform (FFT), FMCWradar, Intermediate frequency (IF), Vital signs, Wavelet decomposition",
author = "Aaron Tekleab and Mihai Sanduleanu",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 International Conference on Electrical and Computing Technologies and Applications, ICECTA 2022 ; Conference date: 23-11-2022 Through 25-11-2022",
year = "2022",
doi = "10.1109/ICECTA57148.2022.9990258",
language = "British English",
series = "2022 International Conference on Electrical and Computing Technologies and Applications, ICECTA 2022",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "51--54",
booktitle = "2022 International Conference on Electrical and Computing Technologies and Applications, ICECTA 2022",
address = "United States",
}