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

Knee Joint01:23

Knee Joint

The knee joint is the most complicated joint in the body. It consists of three articulations– two tibiofemoral and one patellofemoral. As is characteristic of synovial joints, the knee joint has a thin articular capsule that partially surrounds this joint cavity. Additionally, several ligaments, muscles, and cartilaginous structures support the movement of the knee.
A total of seven ligaments support the knee joint. The patellar ligament, which is also attached to the quadriceps femoris group...

You might also read

Related Articles

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

Sort by
Same author

Case Report: Reintroduction of winged infusion sets to needle syringe programs - advancing equity in harm reduction.

Frontiers in psychiatry·2026
Same author

Outreach mpox vaccination at sex-on-premises venues in Sydney: an audit of a collaborative intervention by public health nurses and LGBTQI+ peer workers.

BMC public health·2026
Same author

Global population structures and demographic history of <i>Suillus luteus</i> , a pine co-introduced ectomycorrhizal fungus associated with exotic forestry and invasion.

bioRxiv : the preprint server for biology·2026
Same author

Comparison of deep learning reconstruction and adaptive statistical iterative reconstruction for head CT in acute stroke.

Neuroradiology·2026
Same author

We need transparency standards for social media research that involves companies.

Proceedings of the National Academy of Sciences of the United States of America·2025
Same author

Early analysis of data from the British & Irish Brain Arteriovenous Malformations Registry (BIBAR).

Brain & spine·2025

Related Experiment Video

Updated: Jul 4, 2026

Home-Based Monitor for Gait and Activity Analysis
07:24

Home-Based Monitor for Gait and Activity Analysis

Published on: August 8, 2019

6.7K

Wearable Loop Sensors for Knee Flexion Monitoring: Dynamic Measurements on Human Subjects.

Ian Anderson1, Christopher Cosma1, Yingzhe Zhang1

  • 1ElectroScience Laboratory, Department of Electrical and Computer EngineeringThe Ohio State University Columbus OH 43212 USA.

IEEE Open Journal of Engineering in Medicine and Biology
|July 25, 2024
PubMed
Summary

New wearable loop sensors accurately monitor joint flexion in dynamic human activities. An untethered version shows excellent results on phantoms, paving the way for advanced, comfortable motion tracking technology.

Keywords:
Calibrationdynamic motion capturee-textilehuman subject validationjoint flexionloop sensorswearables

More Related Videos

An Inertial Measurement Unit Based Method to Estimate Hip and Knee Joint Kinematics in Team Sport Athletes on the Field
06:52

An Inertial Measurement Unit Based Method to Estimate Hip and Knee Joint Kinematics in Team Sport Athletes on the Field

Published on: May 26, 2020

7.9K
In Vitro Application of a Wireless Sensor in Flexion-Extension Gap Balance of Unicompartmental Knee Arthroplasty
07:33

In Vitro Application of a Wireless Sensor in Flexion-Extension Gap Balance of Unicompartmental Knee Arthroplasty

Published on: May 5, 2023

561

Related Experiment Videos

Last Updated: Jul 4, 2026

Home-Based Monitor for Gait and Activity Analysis
07:24

Home-Based Monitor for Gait and Activity Analysis

Published on: August 8, 2019

6.7K
An Inertial Measurement Unit Based Method to Estimate Hip and Knee Joint Kinematics in Team Sport Athletes on the Field
06:52

An Inertial Measurement Unit Based Method to Estimate Hip and Knee Joint Kinematics in Team Sport Athletes on the Field

Published on: May 26, 2020

7.9K
In Vitro Application of a Wireless Sensor in Flexion-Extension Gap Balance of Unicompartmental Knee Arthroplasty
07:33

In Vitro Application of a Wireless Sensor in Flexion-Extension Gap Balance of Unicompartmental Knee Arthroplasty

Published on: May 5, 2023

561

Area of Science:

  • Biomedical Engineering
  • Wearable Technology
  • Biomechanics

Background:

  • Existing wearable sensors for joint flexion monitoring have limitations.
  • Previous work demonstrated proof-of-concept on static phantoms with rigid sensors.
  • This study advances wearable sensor technology for dynamic joint angle measurement.

Purpose of the Study:

  • To evaluate a new class of flexible, textile-based loop sensors for joint flexion monitoring on human subjects during dynamic activities.
  • To present and validate an untethered version of the sensor on phantom models.
  • To assess the sensors' accuracy and reliability compared to gold-standard measurements.

Main Methods:

  • Tethered sensors were tested on ten adults performing walking, brisk walking, and full flexion/extension.
  • An untethered sensor was validated on a manually bent phantom limb.
  • Sensor-derived angles were calibrated and compared to LiDAR camera data using RMSE and Pearson's correlation.

Main Results:

  • Excellent correlation (≥ 0.981) was observed between sensor data and gold-standard measurements.
  • Root Mean Square Error (RMSE) ranged from 3.657° to 5.541° for human activities and was 0.670° for phantom tests.
  • The sensors demonstrated reliability over time, safety, and did not impede natural movement.

Conclusions:

  • The tethered sensor provides accurate joint flexion monitoring comparable to existing wearable technologies on human subjects.
  • The untethered sensor shows high accuracy on phantom models, indicating potential for fully wearable applications.
  • These findings support the development of advanced, comfortable, and reliable wearable solutions for joint motion analysis.