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

Assessing Blood pressure using a doppler ultrasound01:19

Assessing Blood pressure using a doppler ultrasound

3.0K
To obtain accurate blood pressure measurements in clinical settings, especially when traditional methods are insufficient, healthcare professionals utilize the Doppler ultrasound technique. This method uses high-frequency sound waves to detect blood flow within the arteries, which is crucial for patients with conditions that complicate circulatory system assessment.
Pre-Procedural Guidelines for Doppler Ultrasound Blood Pressure Assessment:
Preparation of Equipment:
3.0K
Doppler Effect - II01:05

Doppler Effect - II

4.2K
The Doppler effect has several practical, real-world applications. For instance, meteorologists use Doppler radars to interpret weather events based on the Doppler effect. Typically, a transmitter emits radio waves at a specific frequency toward the sky from a weather station. The radio waves bounce off the clouds and precipitation and travel back to the weather station. The radio frequency of the waves reflected back to the station appears to decrease if the clouds or precipitation are moving...
4.2K
Doppler Effect - I00:56

Doppler Effect - I

4.7K
The Doppler effect and Doppler shift were named after the Austrian physicist and mathematician Christian Johann Doppler in 1842, who conducted experiments with both moving sources and moving observers. Consider an observer standing on a street corner, observing an ambulance with a siren sound passing by at a constant speed. The observer experiences two characteristic changes in the sound of the siren. Initially, the sound increases in loudness as the ambulance approaches and decreases in...
4.7K
Peripheral Arterial Disease II: Clinical Manifestations and Diagnostic Evaluation01:21

Peripheral Arterial Disease II: Clinical Manifestations and Diagnostic Evaluation

764
Clinical manifestationsPeripheral Arterial Disease (PAD) manifests through a range of symptoms, from the characteristic intermittent claudication to atypical presentations and severe complications in advanced stages. Intermittent claudication, a hallmark symptom of PAD, presents as exercise-induced muscle pain that typically resolves within minutes of rest. This pain is reproducible and stems from inadequate blood flow, leading to the accumulation of lactic acid produced during anaerobic...
764

You might also read

Related Articles

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

Sort by
Same author

Improved Passive State Preparation-Continuous Variable Quantum Key Distribution Scheme Based on Non-Gaussian Operations.

Entropy (Basel, Switzerland)·2026
Same author

The prediction of dynamical quantities in granular avalanches based on graph neural networks.

The Journal of chemical physics·2023
Same author

The prediction of contact force networks in granular materials based on graph neural networks.

The Journal of chemical physics·2023
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
Same journal

Three-Dimensional Modeling and Performance Analysis of Dynamic mmWave V2I Networks Based on Stochastic Geometry.

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

Related Experiment Video

Updated: May 5, 2026

Clinical-oriented Three-dimensional Gait Analysis Method for Evaluating Gait Disorder
06:54

Clinical-oriented Three-dimensional Gait Analysis Method for Evaluating Gait Disorder

Published on: March 4, 2018

17.2K

Gait Classification Based on Micro-Doppler Effect.

Yong Chen1, Sicheng Li1, Chao Qin1

  • 1School of Automation, Central South University, Changsha 410083, China.

Sensors (Basel, Switzerland)
|May 4, 2026
PubMed
Summary
This summary is machine-generated.

This study introduces an improved state-space method (SSM) for extracting gait features from radar echoes. The enhanced method accurately identifies pedestrian micro-Doppler trajectories and motion features for improved gait analysis.

Keywords:
frequency-modulated continuous wave (FMCW) radarmicro-Doppler effectstate-space method (SSM)zero-phase component analysis Whitening (ZCA Whitening)

More Related Videos

Author Spotlight: Assessing the Reliability of Doppler Ultrasound in Measuring Leg Blood Flow
09:18

Author Spotlight: Assessing the Reliability of Doppler Ultrasound in Measuring Leg Blood Flow

Published on: December 15, 2023

3.0K
Clinical Assessment of Spatiotemporal Gait Parameters in Patients and Older Adults
08:56

Clinical Assessment of Spatiotemporal Gait Parameters in Patients and Older Adults

Published on: November 7, 2014

13.5K

Related Experiment Videos

Last Updated: May 5, 2026

Clinical-oriented Three-dimensional Gait Analysis Method for Evaluating Gait Disorder
06:54

Clinical-oriented Three-dimensional Gait Analysis Method for Evaluating Gait Disorder

Published on: March 4, 2018

17.2K
Author Spotlight: Assessing the Reliability of Doppler Ultrasound in Measuring Leg Blood Flow
09:18

Author Spotlight: Assessing the Reliability of Doppler Ultrasound in Measuring Leg Blood Flow

Published on: December 15, 2023

3.0K
Clinical Assessment of Spatiotemporal Gait Parameters in Patients and Older Adults
08:56

Clinical Assessment of Spatiotemporal Gait Parameters in Patients and Older Adults

Published on: November 7, 2014

13.5K

Area of Science:

  • Radar Signal Processing
  • Biomedical Engineering
  • Human Motion Analysis

Background:

  • Gait feature extraction is crucial for human motion analysis and identification.
  • Traditional state-space methods (SSM) for gait analysis require model order estimation.
  • Micro-Doppler signatures from radar echoes contain rich information about human movement.

Purpose of the Study:

  • To propose an improved state-space method (SSM) for gait feature extraction.
  • To enhance the accuracy of micro-Doppler trajectory identification and micro-motion feature extraction.
  • To validate the effectiveness of the proposed method for pedestrian classification.

Main Methods:

  • Introduced zero-phase component analysis Whitening (ZCA Whitening) and estimated echo search algorithm for preprocessing pedestrian echoes.
  • Utilized a two-channel echo input for the improved SSM to identify micro-Doppler trajectories.
  • Extracted five key gait features: torso amplitude, stride length, walking cycle, torso maximum speed, and feet maximum speed.
  • Validated the method using Boulic model simulations and real-world data from a 77 GHz FMCW radar.

Main Results:

  • The improved SSM eliminates the need for model order estimation.
  • Achieved more accurate torso micro-Doppler trajectories and effective micro-motion features of the feet compared to traditional SSM.
  • Demonstrated successful pedestrian classification using a support vector machine (SVM) based on the extracted gait features.

Conclusions:

  • The proposed improved state-space method offers a more accurate and efficient approach to gait feature extraction.
  • The extracted gait features are effective for pedestrian identification using radar data.
  • This method holds potential for applications in surveillance, healthcare, and human-computer interaction.