The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Feb. 17, 2026
Filed:
Aug. 05, 2022
Iee International Electronics & Engineering S.a., Echternach, LU;
Université Du Luxembourg, Luxembourg, LU;
Gabriel Tedgue Beltrao, Belvaux, LU;
Udo Schröder, Föhren, DE;
Dimitri Tatarinov, Trier, DE;
Wallace Alves Martins, Auzeville-Tolosane, FR;
Mohammad Alaeekerahroodi, Luxembourg, LU;
Bhavani Shankar Mysore Rama Rao, Luxembourg, LU;
IEE INTERNATIONAL ELECTRONICS & ENGINEERING S.A., Echternach, LU;
UNIVERSITÉ DU LUXEMBOURG, Luxembourg, LU;
Abstract
A radar system for vital signs monitoring such as at least heart rate or breathing and a method for mitigating random body movement and external interference effects in vital signs monitoring such as at least heart rate or breathing by employing a radar system that is configured for providing in-phase and quadrature signals from reflected and received radar waves are provided. The problem of random body movement effects and external interference affecting vital signs monitoring is at least mitigated by decomposing and filtering a reconstructed displacement signal using a time and frequency analysis technique such as Short-Time Fourier Transform (STFT), followed by a Non-negative Matrix Factorization (NMF) operation. This decomposition allows the identification of time and frequency basis components containing the random body movement interference. Hence, the filtered signal can be reconstructed after removing the random body movement components, thus enabling reliable and robust vital-signs parameter estimation.