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

Pulse rhythm01:30

Pulse rhythm

807
Pulse rhythm refers to the pattern of pulsations within specific intervals, offering valuable insights into the regularity or irregularity of the heart's beats as observed through the pattern of pulsation within specific intervals. A regular pulse exhibits a consistent heart rate with uniform waveforms and pulsation force, variations of which can be classified as normal, weak, or bounding.
Conversely, an irregular pulse pattern is termed dysrhythmia, stemming from disruptions in cardiac...
807

You might also read

Related Articles

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

Sort by
Same author

A Multi-Task Model for Pulmonary Nodule Segmentation and Classification.

Journal of imaging·2024
Same author

Improved Complementary Pulmonary Nodule Segmentation Model Based on Multi-Feature Fusion.

Entropy (Basel, Switzerland)·2022
Same author

Diverse crystal size effects in covalent organic frameworks.

Nature communications·2020
Same author

Retroreflection and diffraction of a Bose-Einstein condensate by evanescent standing wave potential.

Scientific reports·2020
Same author

MEX3A is upregulated in esophageal squamous cell carcinoma (ESCC) and promotes development and progression of ESCC through targeting CDK6.

Aging·2020
Same author

Preparation of Programmed Cell Death-Ligand 1 Antibody Nanoparticles Based on Nude Mouse Model and Its Therapeutic Effect on Lung Cancer.

Journal of nanoscience and nanotechnology·2020

Related Experiment Video

Updated: Jul 10, 2025

Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System
10:17

Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System

Published on: April 11, 2025

634

Noncontact Cardiac Activity Detection Based on Single-Channel ISM Band FMCW Radar.

Kui Qu1, Lei Wei1, Rongfu Zhang2

  • 1School of Physics and Electronic Engineering, Fuyang Normal University, Fuyang 236037, China.

Biosensors
|November 24, 2023
PubMed
Summary

This study uses radar to non-contact measure heart motion, developing a method to remove respiratory signals. This allows for more accurate cardiac motion analysis for health monitoring.

Keywords:
cardiac movementnoncontact detectionradarrespiratory harmonics

More Related Videos

Intra-cardiac Side-Firing Light Catheter for Monitoring Cellular Metabolism using Transmural Absorbance Spectroscopy of Perfused Mammalian Hearts
08:51

Intra-cardiac Side-Firing Light Catheter for Monitoring Cellular Metabolism using Transmural Absorbance Spectroscopy of Perfused Mammalian Hearts

Published on: May 12, 2019

6.8K
Tracking Infiltration Front Depth Using Time-lapse Multi-offset Gathers Collected with Array Antenna Ground Penetrating Radar
07:14

Tracking Infiltration Front Depth Using Time-lapse Multi-offset Gathers Collected with Array Antenna Ground Penetrating Radar

Published on: May 1, 2018

7.8K

Related Experiment Videos

Last Updated: Jul 10, 2025

Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System
10:17

Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System

Published on: April 11, 2025

634
Intra-cardiac Side-Firing Light Catheter for Monitoring Cellular Metabolism using Transmural Absorbance Spectroscopy of Perfused Mammalian Hearts
08:51

Intra-cardiac Side-Firing Light Catheter for Monitoring Cellular Metabolism using Transmural Absorbance Spectroscopy of Perfused Mammalian Hearts

Published on: May 12, 2019

6.8K
Tracking Infiltration Front Depth Using Time-lapse Multi-offset Gathers Collected with Array Antenna Ground Penetrating Radar
07:14

Tracking Infiltration Front Depth Using Time-lapse Multi-offset Gathers Collected with Array Antenna Ground Penetrating Radar

Published on: May 1, 2018

7.8K

Area of Science:

  • Biomedical Engineering
  • Cardiovascular Technology
  • Radar Sensing

Background:

  • The heart's movement is a key indicator of its health.
  • Conventional methods for measuring cardiac motion are often invasive or uncomfortable.
  • Radar sensing offers a noncontact, hygienic, and efficient alternative for monitoring cardiac activity.

Purpose of the Study:

  • To apply a high-precision radar displacement detection algorithm for measuring cardiac motion.
  • To develop a method for accurately extracting cardiac motion waveforms by eliminating respiratory interference.
  • To establish a reference for analyzing cardiac health information from radar data by correlating it with electrocardiogram (ECG) signals.

Main Methods:

  • Utilized a 24 GHz FMCW radar system for noncontact cardiac motion measurement.
  • Analyzed the harmonic composition of respiratory signals to differentiate and remove them from the heartbeat signal.
  • Developed a waveform analysis technique comparing respiratory waveform coverage area to determine harmonic parameters.
  • Extracted cardiac motion waveforms by removing the fundamental frequency component and compared them with synchronized ECG signals.

Main Results:

  • Successfully differentiated and removed respiratory signals from the radar measurements of cardiac motion.
  • Developed a method to accurately calculate respiratory waveform parameters, identifying potential harmonic overlaps with heartbeat signals.
  • Extracted a more precise cardiac motion waveform, providing a basis for cardiac health information extraction.
  • Established correlations between specific points on the extracted cardiac waveform and characteristic ECG signal positions.

Conclusions:

  • Noncontact radar sensing, combined with advanced signal processing, can accurately measure cardiac motion.
  • The proposed method effectively eliminates respiratory interference, enhancing the precision of cardiac motion analysis.
  • This technique provides a valuable reference for extracting cardiac health information from radar measurements, potentially improving cardiovascular diagnostics.