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

Maximum Force Capacity of Back Extensor Muscles in Healthy Women and Men: Not Different, if Anthropometrically Normalized.

Journal of functional morphology and kinesiology·2026
Same author

Normalized data may have limitations in determining the reliability of MVC measurements.

Scientific reports·2025
Same author

Empirical Data-Driven Linear Model of a Swimming Robot Using the Complex Delay-Embedding DMD Technique.

Biomimetics (Basel, Switzerland)·2025
Same author

Studies on the hysteresis of trunk muscles-Muscular specificities must be taken into account.

PloS one·2024
Same author

Are Ratings of Perceived Exertion during Endurance Tasks of Predictive Value? Findings in Trunk Muscles Require Special Attention.

Journal of functional morphology and kinesiology·2024
Same author

Fabrication and Dielectric Validation of an Arm Phantom for Electromyostimulation.

Bioengineering (Basel, Switzerland)·2024

Related Experiment Video

Updated: Jul 2, 2025

Acquisition and Semi-Automated Analysis of Respiratory Muscle Surface Electromyography
09:42

Acquisition and Semi-Automated Analysis of Respiratory Muscle Surface Electromyography

Published on: January 24, 2025

530

Comparison of sEMG Onset Detection Methods for Occupational Exoskeletons on Extensive Close-to-Application Data.

Stefan Kreipe1,2, Thomas Helbig2, Hartmut Witte2

  • 1FB Motorik und Pathophysiologie, Klinik für Unfall-, Hand- und Wiederherstellungschirurgie, Universitätsklinikum Jena, 07740 Jena, Germany.

Bioengineering (Basel, Switzerland)
|February 23, 2024
PubMed
Summary

Surface electromyography (sEMG) offers intuitive control for occupational exoskeletons. A Constant False Alarm Rate algorithm using the Teager-Kaiser-Energy-Operator feature accurately detected movement onset 215ms earlier than traditional methods.

Keywords:
Teager-Kaiser-Energy-Operatorconstant-false-alarm rateelectromechanical delaymyoelectric controloccupational exoskeletonsonset detectionsurface EMG

More Related Videos

The Muscle Cuff Regenerative Peripheral Nerve Interface for the Amplification of Intact Peripheral Nerve Signals
07:30

The Muscle Cuff Regenerative Peripheral Nerve Interface for the Amplification of Intact Peripheral Nerve Signals

Published on: January 13, 2022

2.1K
An Emerging Target Paradigm to Evoke Fast Visuomotor Responses on Human Upper Limb Muscles
09:27

An Emerging Target Paradigm to Evoke Fast Visuomotor Responses on Human Upper Limb Muscles

Published on: August 25, 2020

4.3K

Related Experiment Videos

Last Updated: Jul 2, 2025

Acquisition and Semi-Automated Analysis of Respiratory Muscle Surface Electromyography
09:42

Acquisition and Semi-Automated Analysis of Respiratory Muscle Surface Electromyography

Published on: January 24, 2025

530
The Muscle Cuff Regenerative Peripheral Nerve Interface for the Amplification of Intact Peripheral Nerve Signals
07:30

The Muscle Cuff Regenerative Peripheral Nerve Interface for the Amplification of Intact Peripheral Nerve Signals

Published on: January 13, 2022

2.1K
An Emerging Target Paradigm to Evoke Fast Visuomotor Responses on Human Upper Limb Muscles
09:27

An Emerging Target Paradigm to Evoke Fast Visuomotor Responses on Human Upper Limb Muscles

Published on: August 25, 2020

4.3K

Area of Science:

  • Human-machine interface design
  • Biomedical engineering
  • Occupational safety

Background:

  • Designing effective human-machine interfaces for occupational exoskeletons is crucial for user adoption and performance.
  • Biosensoric methods, like surface electromyography (sEMG), can enhance control intuitiveness and reduce system latency compared to conventional methods.

Purpose of the Study:

  • To evaluate the reliability of sEMG onset detection algorithms for controlling occupational exoskeletons in realistic scenarios.
  • To identify the optimal feature for sEMG onset detection using a Constant False Alarm Rate (CFAR) algorithm.

Main Methods:

  • Shoulder sEMG signals were recorded from 55 healthy subjects performing seated arm lifting tasks relevant to assembly work.
  • A CFAR double-threshold detection algorithm was implemented and tested with various signal features.
  • Feature selection was based on signal-to-noise ratio (SNR), sensitivity, precision, timing error, and deviation, with expert visual inspection and kinematic data serving as references.

Main Results:

  • The CFAR algorithm utilizing the Teager-Kaiser-Energy-Operator (TKEO) as a feature demonstrated superior performance.
  • Optimal feature performance: SNR of 14.48 dB, 91% sensitivity, and 93% precision.
  • On average, sEMG analysis predicted impending movements 215 ms prior to detectable kinematic changes.

Conclusions:

  • The TKEO-based CFAR algorithm provides a reliable method for sEMG onset detection in occupational exoskeleton control.
  • Early detection of movement intention via sEMG can significantly improve exoskeleton responsiveness and user experience.
  • This approach holds promise for developing more intuitive and efficient human-robot collaboration in industrial settings.