Human Vital Signs Sensing Based on Millimeter-Wave Radar

Breathing and heartbeat are the most crucial indicators of human vital signs. Compared to contact-based methods for detecting respiration and heartbeat, non-invasive methods, such as radar-based detection, offer a more comfortable and efficient experience. These methods are widely used in fields such as healthcare, disaster rescue, and counter-terrorism. Frequency Modulated Continuous Wave (FMCW) radar combines the ranging capabilities of ultra-wideband radar with the speed measurement capabilities of continuous wave radar. It can distinguish different targets based on distance, thereby reducing clutter interference. This paper conducts a non-contact vital sign detection method through capturing fine-grained chest vibrations caused by breathing and heartbeat. In this study, we utilized a millimeter-wave radar (AWR6843AOP) to extract respiration and heartbeat information with signals reflected from human body. To enhance the waveform, we employed an FIR low-pass filter. The feasibility and accuracy of millimeter-wave radar in detecting human vital signs were verified by comparing the true values obtained from contact measurements with the estimated values derived from radar sensing. A three-transmitter, four-receiver antenna configuration was used to form a 12-channel equivalent array. By using radar imaging to locate the human target, we were able to accurately extract vital sign information. This imaging method allows for the assessment of signal strength from different body parts and the determination of the target's position based on energy.

Authors

Institutions

Publication Details

Published
2024-09-27
DOI
https://doi.org/10.1109/iciscae62304.2024.10761521
Primary Topic
Non-Invasive Vital Sign Monitoring
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Human Vital Signs Sensing Based on Millimeter-Wave Radar

J.-B. Yan
Non-Invasive Vital Sign Monitoring
article

Human Vital Signs Sensing Based on Millimeter-Wave Radar

J.-B. Yan
article en

Abstract

Breathing and heartbeat are the most crucial indicators of human vital signs. Compared to contact-based methods for detecting respiration and heartbeat, non-invasive methods, such as radar-based detection, offer a more comfortable and efficient experience. These methods are widely used in fields such as healthcare, disaster rescue, and counter-terrorism. Frequency Modulated Continuous Wave (FMCW) radar combines the ranging capabilities of ultra-wideband radar with the speed measurement capabilities of continuous wave radar. It can distinguish different targets based on distance, thereby reducing clutter interference. This paper conducts a non-contact vital sign detection method through capturing fine-grained chest vibrations caused by breathing and heartbeat. In this study, we utilized a millimeter-wave radar (AWR6843AOP) to extract respiration and heartbeat information with signals reflected from human body. To enhance the waveform, we employed an FIR low-pass filter. The feasibility and accuracy of millimeter-wave radar in detecting human vital signs were verified by comparing the true values obtained from contact measurements with the estimated values derived from radar sensing. A three-transmitter, four-receiver antenna configuration was used to form a 12-channel equivalent array. By using radar imaging to locate the human target, we were able to accurately extract vital sign information. This imaging method allows for the assessment of signal strength from different body parts and the determination of the target's position based on energy.

Guilin University of Electronic Technology (CN)
Openalex Percentile: Top 80%
Non-Invasive Vital Sign Monitoring
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.