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Start date: 2020Type: search.filters.itemtype.Conference PaperAuthor: search.filters.author.Karamzadeh, SaeidAuthor: search.filters.author.Esmaeilishahir, Mahdi

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    Detection of Human Respiratory and Range by IR-UWB Radar
    (Institute of Electrical and Electronics Engineers Inc., 2023) Shakfa, Ali; Esmaeilishahir, Mahdi; Karamzadeh, Saeid; Shakfa, Ali, Department of Electrical and Electronic Engineering, Bahçeşehir Üniversitesi, Istanbul, Turkey; Esmaeilishahir, Mahdi, Department of Electrical and Electronic Engineering, Bahçeşehir Üniversitesi, Istanbul, Turkey; Karamzadeh, Saeid, Intelligent Wireless System, Silicon Austria Labs GmbH, Graz, Austria
    The technology of Impulse Radio Ultra-Wide-Band (IR-UWB) radar is very promising for non-contact sensing applications, such as detecting human vital signs like heart rate (HR) and respiration rate (RR), as well as determining the location of a person. This research paper introduces a technique for detecting the respiration rate and location of a stationary human. The method involves using preprocessing techniques to improve clutter reduction and estimating the frequency domain of the signals. Low pass and bandpass filters as preprocessing methods are presented. The Fast Fourier Transform (FFT) processing method is used to determine the human RR in the frequency domain. The proposed approach is evaluated using a P440 (IR-UWB) radar and shows promising results. The experiments demonstrate that the proposed method is effective in accurately detecting the vital signs of a stationary single or multiple persons. © 2023 Elsevier B.V., All rights reserved.
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    Experimental Study of Non-Contact Detection of Vital Signs Using IR-UWB Radar
    (Institute of Electrical and Electronics Engineers Inc., 2023) Esmaeilishahir, Mahdi; Shakfa, Ali; Karamzadeh, Saeid; Kolosovs, D.; Litvinenko, A.; Esmaeilishahir, Mahdi, Department of Electrical and Electronic Engineering, Bahçeşehir Üniversitesi, Istanbul, Turkey; Shakfa, Ali, Department of Electrical and Electronic Engineering, Bahçeşehir Üniversitesi, Istanbul, Turkey; Karamzadeh, Saeid, Silicon Austria Labs GmbH, Graz, Austria, Bahçeşehir Üniversitesi, Istanbul, Turkey
    The Impulse Radio Ultra-Wideband (IR-UWB) radar technology exhibits immense potential for non-contact sensing applications, particularly in the detection of human vital signs such as heart rate (HR) and respiration rate (RR), as well as in the determination of an individual's range. The present study introduces a methodology for identifying the respiration frequency and range of stationary standing still individuals. The study proposes coherent background subtraction followed by the Butterworth bandpass filter as a preprocessing technique and the Fast Fourier Transform (FFT) is employed as a processing technique for the purpose of ascertaining the human RR within the frequency domain. The methodology under consideration was assessed utilizing a P440 (IR-UWB) radar for the purpose of data acquisition, and MATLAB software was employed for both preprocessing and processing the reflected raw signals. The experimental results indicate that the proposed approach is efficacious in precisely identifying the respiratory rate of multiple stationary-standing individuals. © 2023 Elsevier B.V., All rights reserved.