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 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.

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Published
2025-06-15
DOI
https://doi.org/10.1109/ims40360.2025.11104019
Primary Topic
Non-Invasive Vital Sign Monitoring
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article
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article

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

Shekh Md Mahmudul Islam, Dieff Vital, Sourav Kumar Pramanik, Shakil Hossain et al.
Non-Invasive Vital Sign Monitoring
article

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

Shekh Md Mahmudul Islam, Dieff Vital, Sourav Kumar Pramanik, Shakil Hossain, Oluwaseun Adekola
article en

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.

University of Illinois Chicago (US), Research Institute for Electromagnetic Materials (JP), Center For Remote Sensing (United States) (US)
Openalex Percentile: Top 81%
Non-Invasive Vital Sign Monitoring
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Through-the-Wall Concurrent Vital Signs Monitoring of Three Subjects Using Single-Channel CW Radar and Independent Component Analysis — Shekh Md Mahmudul Islam, Dieff Vital, et al. · (2025) | TGRS Research Map | TGRS