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 Experiment Videos

Real time microcontroller implementation of an adaptive myoelectric filter

P J Bagwell1, P H Chappell

  • 1Department of Electrical Engineering, University of Southampton, UK.

Medical Engineering & Physics
|March 1, 1995
PubMed
Summary

This study introduces a real-time adaptive filter for myoelectric signals, improving muscle force estimation and prosthetic control. It effectively reduces interference, making electrode placement easier and enabling cost-effective implementation.

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

A new Monte Carlo program for simulating light transport through Port Wine Stain skin.

Lasers in medical science·2013
Same author

Measuring scapular kinematics during arm lowering using the acromion marker cluster.

Human movement science·2011
Same author

Making sense of artificial hands.

Journal of medical engineering & technology·2010
Same author

Constant angular velocity of the wrist during the lifting of a sphere.

Journal of medical engineering & technology·2010
Same author

Shoulder and elbow muscle activity during fully supported trajectory tracking in people who have had a stroke.

Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology·2009
Same author

Surface EMG pattern analysis of the wrist muscles at different speeds of contraction.

Journal of medical engineering & technology·2009

Area of Science:

  • Biomedical Engineering
  • Signal Processing
  • Rehabilitation Technology

Background:

  • Myoelectric signal processing is crucial for advanced prosthetic control.
  • Traditional filters struggle with real-time adaptation and noise interference.
  • Efficient and cost-effective hardware is needed for practical prosthetic devices.

Purpose of the Study:

  • To develop a real-time digital adaptive filter for myoelectric signal processing.
  • To enhance the accuracy of muscle force estimation and prosthetic limb control.
  • To address interference from mains sources (50 Hz and harmonics) and simplify electrode setup.

Main Methods:

  • Implemented a digital adaptive filter with an automatic time constant selection algorithm.
  • Utilized an averaging filter and differential process to mitigate 50 Hz and harmonic interference.

Related Experiment Videos

  • Achieved real-time implementation using an Intel 80C196KC microcontroller.

    • Main Results:

    • The adaptive filter significantly improved muscle force estimation compared to linear filters.
    • The filter demonstrated effective reduction of mains frequency interference.
    • Practical electrode placement and contact became less critical and time-consuming.
    • An economic, real-time implementation was successfully demonstrated.

    Conclusions:

    • The developed adaptive filter offers superior performance for myoelectric control.
    • The system provides a robust and practical solution for prosthetic device applications.
    • The use of a microcontroller ensures an affordable and efficient real-time system.