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

Reading Assessment and Eye Movement Analysis in Bilateral Central Scotoma Due to Age-Related Macular Degeneration.

Journal of eye movement research·2025
Same author

Distress detection in VR environment using Empatica E4 wristband and Bittium Faros 360.

Frontiers in physiology·2025
Same author

Data augmentation for generating synthetic electrogastrogram time series.

Medical & biological engineering & computing·2024
Same author

Maximum entropy determination of mammalian proteome dynamics.

Proceedings of the National Academy of Sciences of the United States of America·2024
Same author

Hybrid Functional Electrical Stimulation and Robotic Assistance for Wrist Motion Training After Stroke: Preliminary Results.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]·2023
Same author

A new algorithm for fetal heart rate detection: Fractional order calculus approach.

Medical engineering & physics·2023

Related Experiment Video

Updated: May 14, 2026

Computerized Dynamic Posturography for Postural Control Assessment in Patients with Intermittent Claudication
14:52

Computerized Dynamic Posturography for Postural Control Assessment in Patients with Intermittent Claudication

Published on: December 11, 2013

sEMG-based detection of poor posture: a feasibility study.

Haritz Zabaleta1, Cristina Rodriguez-de-Pablo, Nadica Miljkovic

  • 1TECNALIA, Health Unit P Mikeletegi, Donostia, Spain. haritz.zabaleta@tecnalia.com

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
|February 1, 2013
PubMed
Summary
This summary is machine-generated.

A new study shows a surface electromyography (sEMG)-based device could classify poor posture, potentially preventing low back pain (LBP). This technology offers a feasible approach for postural re-education and real-time feedback.

More Related Videos

Experimental Methods to Study Human Postural Control
08:12

Experimental Methods to Study Human Postural Control

Published on: September 11, 2019

Quantifying Arms and Legs Contributions during Repetitive Electrically-Assisted Sit-To-Stand Exercise in Paraplegics: A Pilot Study
08:40

Quantifying Arms and Legs Contributions during Repetitive Electrically-Assisted Sit-To-Stand Exercise in Paraplegics: A Pilot Study

Published on: November 11, 2022

Related Experiment Videos

Last Updated: May 14, 2026

Computerized Dynamic Posturography for Postural Control Assessment in Patients with Intermittent Claudication
14:52

Computerized Dynamic Posturography for Postural Control Assessment in Patients with Intermittent Claudication

Published on: December 11, 2013

Experimental Methods to Study Human Postural Control
08:12

Experimental Methods to Study Human Postural Control

Published on: September 11, 2019

Quantifying Arms and Legs Contributions during Repetitive Electrically-Assisted Sit-To-Stand Exercise in Paraplegics: A Pilot Study
08:40

Quantifying Arms and Legs Contributions during Repetitive Electrically-Assisted Sit-To-Stand Exercise in Paraplegics: A Pilot Study

Published on: November 11, 2022

Area of Science:

  • Biomedical Engineering
  • Rehabilitation Technology
  • Musculoskeletal Health

Background:

  • Low back pain (LBP) is a significant health issue, with an estimated 80% attributed to poor posture.
  • The medical treatment costs for LBP were substantial, estimated at $24 billion in the early 1990s.
  • Current methods for postural correction and LBP treatment may lack objective, real-time feedback mechanisms.

Purpose of the Study:

  • To assess the feasibility of developing a surface electromyography (sEMG)-based classifier for identifying poor posture.
  • To explore the potential of sEMG technology for postural re-education and LBP prevention.
  • To evaluate the performance of a linear classifier model for sEMG-based posture analysis.

Main Methods:

  • A feasibility study was conducted to develop and test a poor posture classifier using sEMG signals.
  • Signal features were extracted from sEMG data to train and evaluate a linear classification model.
  • The study analyzed the sensitivity and specificity of the classifier in distinguishing between different postural states.

Main Results:

  • The feasibility study indicated that an sEMG-based poor posture classifier is a potential development.
  • The best linear classifier model achieved a sensitivity of 72% and a specificity of 78%.
  • Significant inter-subject variability was observed in sEMG signal features, possibly due to differing muscular activation patterns.

Conclusions:

  • An sEMG-based system shows promise for classifying poor posture, offering a potential tool for LBP management.
  • The observed inter-subject variability highlights a challenge that needs to be addressed in future sEMG-based posture analysis.
  • Further research is warranted to refine the classifier and account for individual differences in muscular activation for improved accuracy.