Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Motion Cancellation Technique of Vital Signal Detectors Based on Continuous-Wave Radar Technology.

Sensors (Basel, Switzerland)·2025
Same author

Reconstruction of Range-Doppler Map Corrupted by FMCW Radar Asynchronization.

Sensors (Basel, Switzerland)·2023
Same author

CMOS Detector Staggered Array Module for Sub-Terahertz Imaging on Conveyor Belt System.

Sensors (Basel, Switzerland)·2023
Same author

Concurrent-Mode CMOS Detector IC for Sub-Terahertz Imaging System.

Sensors (Basel, Switzerland)·2022
Same author

Detrending Technique for Denoising in CW Radar.

Sensors (Basel, Switzerland)·2021
Same author

The Optimal Selection of Mother Wavelet Function and Decomposition Level for Denoising of DCG Signal.

Sensors (Basel, Switzerland)·2021
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
See all related articles

Related Experiment Video

Updated: Oct 13, 2025

Simultaneous Scalp Electroencephalography EEG, Electromyography EMG, and Whole-body Segmental Inertial Recording for Multi-modal Neural Decoding
11:25

Simultaneous Scalp Electroencephalography EEG, Electromyography EMG, and Whole-body Segmental Inertial Recording for Multi-modal Neural Decoding

Published on: July 26, 2013

43.6K

Vital Signal Detection Using Multi-Radar for Reductions in Body Movement Effects.

Ah-Jung Jang1, In-Seong Lee1, Jong-Ryul Yang1

  • 1Department of Electronic Engineering, Yeungnam University, Gyeongsan 38541, Korea.

Sensors (Basel, Switzerland)
|November 13, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces a novel radar technique using multiple sensors to accurately detect vital signs, even during body movement. The method enhances signal clarity by correlating data from radars with different lines-of-sight, improving detection accuracy.

Keywords:
Doppler radarbody movement cancelationcontinuous waveheartbeatmultiple radarsrespirationvital signal detection

More Related Videos

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform
06:25

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

Published on: February 12, 2014

8.6K
Design and Analysis for Fall Detection System Simplification
08:05

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

10.9K

Related Experiment Videos

Last Updated: Oct 13, 2025

Simultaneous Scalp Electroencephalography EEG, Electromyography EMG, and Whole-body Segmental Inertial Recording for Multi-modal Neural Decoding
11:25

Simultaneous Scalp Electroencephalography EEG, Electromyography EMG, and Whole-body Segmental Inertial Recording for Multi-modal Neural Decoding

Published on: July 26, 2013

43.6K
Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform
06:25

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

Published on: February 12, 2014

8.6K
Design and Analysis for Fall Detection System Simplification
08:05

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

10.9K

Area of Science:

  • Biomedical Engineering
  • Radar Systems
  • Signal Processing

Background:

  • Vital sign monitoring is crucial for healthcare.
  • Body movement during monitoring can degrade signal quality.
  • Existing radar methods struggle with movement artifacts.

Purpose of the Study:

  • To develop a radar-based vital signal detection system robust to body movement.
  • To improve signal-to-noise ratio (SNR) in vital sign detection.
  • To leverage multiple radars with different lines-of-sight (LOS) for enhanced accuracy.

Main Methods:

  • Utilized continuous-wave (CW) radar systems operating at different frequencies (5.8 GHz band) to minimize signal coupling.
  • Employed two adjacent radars with distinct LOS to capture asymmetrical organ movement (lungs, heart).
  • Developed a correlation technique to reinforce differences in movement signals, reducing noise.

Main Results:

  • The proposed multi-radar system achieved a mean accuracy of 97.8% in vital sign detection.
  • Successfully monitored subjects moving at velocities up to 53.4 mm/s.
  • Demonstrated significant reduction in body movement effects on vital signal detection.

Conclusions:

  • The multi-radar approach effectively mitigates signal degradation caused by body movement.
  • Correlating signals from radars with different LOS enhances vital sign detection accuracy.
  • This method offers a promising non-contact solution for remote vital sign monitoring.