Non-Contact Measurement of Human Vital Signs in Dynamic Conditions Using Microwave Techniques: A Review

This article reviews recent advances in microwave and radar techniques for non-contact measurement of human vital signs in dynamic conditions. The focus is on solutions that work when the subject is moving or performing everyday activities, rather than lying motionless in clinical settings. This review covers innovative biodegradable and flexible antenna designs for wearable devices operating in multiple frequency bands and supporting efficient 5G/IoT connectivity. Particular attention is paid to ultra-wideband (UWB) radar, Doppler sensors, and microwave reflectometry combined with advanced signal-processing and deep learning algorithms for robust estimation of respiration, heart rate, and other cardiopulmonary parameters in the presence of body motion. Applications in telemedicine, home monitoring, sports, and search and rescue are discussed, including localization of people trapped under rubble by detecting their vital sign signatures at a distance. This paper also highlights key challenges such as inter-subject anatomical variability, motion artifacts, hardware miniaturization, and energy efficiency, which still limit widespread deployment. Finally, related developments in microwave imaging and early detection of pathological tissue changes are briefly outlined, highlighting the shared components and processing methods. In general, microwave techniques show strong potential for unobtrusive, continuous, and environmentally sustainable monitoring of human physiological activity, supporting future healthcare and safety systems.

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Journal
Sensors
Published
2026-01-06
DOI
https://doi.org/10.3390/s26020359
Primary Topic
Non-Invasive Vital Sign Monitoring
Type
article
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article

Non-Contact Measurement of Human Vital Signs in Dynamic Conditions Using Microwave Techniques: A Review

Zenon R. Szczepaniak, Tadeusz Sondej, Marek Ostrysz
Sensors
Non-Invasive Vital Sign Monitoring
article

Non-Contact Measurement of Human Vital Signs in Dynamic Conditions Using Microwave Techniques: A Review

Zenon R. Szczepaniak, Tadeusz Sondej, Marek Ostrysz
article en

Abstract

This article reviews recent advances in microwave and radar techniques for non-contact measurement of human vital signs in dynamic conditions. The focus is on solutions that work when the subject is moving or performing everyday activities, rather than lying motionless in clinical settings. This review covers innovative biodegradable and flexible antenna designs for wearable devices operating in multiple frequency bands and supporting efficient 5G/IoT connectivity. Particular attention is paid to ultra-wideband (UWB) radar, Doppler sensors, and microwave reflectometry combined with advanced signal-processing and deep learning algorithms for robust estimation of respiration, heart rate, and other cardiopulmonary parameters in the presence of body motion. Applications in telemedicine, home monitoring, sports, and search and rescue are discussed, including localization of people trapped under rubble by detecting their vital sign signatures at a distance. This paper also highlights key challenges such as inter-subject anatomical variability, motion artifacts, hardware miniaturization, and energy efficiency, which still limit widespread deployment. Finally, related developments in microwave imaging and early detection of pathological tissue changes are briefly outlined, highlighting the shared components and processing methods. In general, microwave techniques show strong potential for unobtrusive, continuous, and environmentally sustainable monitoring of human physiological activity, supporting future healthcare and safety systems.

SensorsVol. 26(2)
Military University of Technology in Warsaw (PL)
Responsible consumption and production
Openalex Percentile: Top 96%
Non-Invasive Vital Sign Monitoring
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Non-Contact Measurement of Human Vital Signs in Dynamic Conditions Using Microwave Techniques: A Review — Zenon R. Szczepaniak, Tadeusz Sondej, et al. · Sensors (2026) | TGRS Research Map | TGRS