Through-the-Wall Concurrent Vital Signs Monitoring of Three Subjects Using Single-Channel CW Radar and Independent Component Analysis

This paper reports, for the first time, the capability of a single-channel continuous wave (CW) radar to perform through-the-wall concurrent vital sign monitoring of three subjects using a simpler radar system architecture. Initially, independent component analysis with the joint approximation diago...

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Published inIEEE MTT-S International Microwave Symposium digest pp. 275 - 278
Main Authors Hossain, Shafkat, Pramanik, Sourav K., Adekola, Oluwaseun, Islam, Shekh Md. M., Vital, Dieff
Format Conference Proceeding
LanguageEnglish
Published IEEE 15.06.2025
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ISSN2576-7216
DOI10.1109/IMS40360.2025.11104019

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Abstract This paper reports, for the first time, the capability of a single-channel continuous wave (CW) radar to perform through-the-wall concurrent vital sign monitoring of three subjects using a simpler radar system architecture. Initially, independent component analysis with the joint approximation diagonalization of eigenmatrices (ICA-JADE) was employed to isolate each subject's breathing rate (BR). Subsequently, maximal overlap discrete wavelet transform (MODWT) was implemented as a reinforcement post-processing scheme to denoise and suppress subharmonics in the heart rate (HR) waveforms following the application of ICA-JADE. The results demonstrate an accuracy of approximately 97% in isolating BR using ICA-JADE compared to a traditional chest belt measurement. Furthermore, employing MODWT as a reinforcement post-processing scheme achieved an accuracy of 92% in separating each subject's HR compared to ECG testing. This work has significant potential applications, including post-disaster search and rescue, surveillance, and monitoring vital signs through the wall for healthcare applications.
AbstractList This paper reports, for the first time, the capability of a single-channel continuous wave (CW) radar to perform through-the-wall concurrent vital sign monitoring of three subjects using a simpler radar system architecture. Initially, independent component analysis with the joint approximation diagonalization of eigenmatrices (ICA-JADE) was employed to isolate each subject's breathing rate (BR). Subsequently, maximal overlap discrete wavelet transform (MODWT) was implemented as a reinforcement post-processing scheme to denoise and suppress subharmonics in the heart rate (HR) waveforms following the application of ICA-JADE. The results demonstrate an accuracy of approximately 97% in isolating BR using ICA-JADE compared to a traditional chest belt measurement. Furthermore, employing MODWT as a reinforcement post-processing scheme achieved an accuracy of 92% in separating each subject's HR compared to ECG testing. This work has significant potential applications, including post-disaster search and rescue, surveillance, and monitoring vital signs through the wall for healthcare applications.
Author Vital, Dieff
Islam, Shekh Md. M.
Pramanik, Sourav K.
Adekola, Oluwaseun
Hossain, Shafkat
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  givenname: Sourav K.
  surname: Pramanik
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  givenname: Shekh Md. M.
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  fullname: Vital, Dieff
  email: mahmud@du.ac.bd
  organization: University of Illinois Chicago,Andrew Electromagnetics Lab,USA
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Snippet This paper reports, for the first time, the capability of a single-channel continuous wave (CW) radar to perform through-the-wall concurrent vital sign...
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StartPage 275
SubjectTerms Accuracy
Belts
Bioradar
CardioRadar
CW Single-Channel Radar
Doppler radar
Heart rate
ICA-JADE
Independent component analysis
MODWT
Non-contact Life signs Sensing
Radar
Surveillance
Systems architecture
Testing
Through-the-Wall Monitoring/Sensing
Transforms
Title Through-the-Wall Concurrent Vital Signs Monitoring of Three Subjects Using Single-Channel CW Radar and Independent Component Analysis
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