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

Principal components analysis preprocessing to reduce controller delays in pattern recognition based myoelectric

L Hargrove1, E Scheme, K Englehart

  • 1Institute of Biomedical Engineering, University of New Brunswick, Fredericton, NB Canada. levi.hargrove@unb.ca

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
|November 16, 2007
PubMed
Summary
This summary is machine-generated.

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

Exposure to climate change drives stability or collapse of desert mammal and bird communities.

Science (New York, N.Y.)·2021
Same author

Return to work after occupational injury and upper limb amputation.

Occupational medicine (Oxford, England)·2017
Same author

Classification of hand and wrist tasks of unknown force levels using muscle synergies.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2016
Same author

Design and preliminary testing of the RIC hybrid knee prosthesis.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2016
Same author

A comparison of classification based confidence metrics for use in the design of myoelectric control systems.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2016
Same author

On the robustness of EMG features for pattern recognition based myoelectric control: a multi-dataset comparison.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2015
Same journal

Analysis of End-Tidal CO2 Variability During Plateau Waves Episodes: An Information Theoretic Approach<sup></sup>.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

AI and Tomosynthesis for Breast Cancer Molecular Subtyping: A step toward precision medicine<sup></sup>.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

Towards Sustainable Protein Recovery from Biological Waste: Assessing Polyethersulfone-based Microfiltration.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

Analysis of the cardiovascular response to standardized polymicrobial peritonitis experimental model.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

Automated Wrist Ultrasound Image Bone Enhancement and Segmentation Using Deep Learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

A Deep Learning approach for Depressive Symptoms assessment in Parkinson's disease patients using facial videos.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
See all related articles

This study introduces a signal rotation method to improve myoelectric signal (MES) pattern recognition for prosthetic control. This technique enhances motion discrimination and allows for shorter analysis windows without losing accuracy.

Area of Science:

  • Biomedical Engineering
  • Rehabilitation Engineering
  • Signal Processing

Background:

  • Surface myoelectric signals (MES) are crucial for controlling powered prostheses.
  • Interference from adjacent muscles and tissue filtering complicates MES interpretation, especially in forearm muscles.
  • Accurate signal decomposition is vital for effective prosthetic limb control.

Purpose of the Study:

  • To develop a preprocessing technique to enhance the discrimination of distinct muscle signals from multi-channel MES recordings.
  • To investigate the impact of spatial data decorrelation on pattern recognition accuracy for prosthetic control.
  • To determine if signal preprocessing allows for reduced analysis window durations without compromising classification performance.

Main Methods:

Related Experiment Videos

  • Applied class-specific rotation matrices to raw MES data to achieve spatial decorrelation.
  • Utilized the decorrelated data for feature extraction in pattern recognition classifiers.
  • Evaluated classification accuracy with reduced MES analysis window sizes (128 ms) compared to standard sizes (256 ms).

    • Main Results:

    • Signal rotation effectively decorrelates multi-channel MES data, improving spatial separation of muscle contributions.
    • The preprocessing step significantly enhances the classifier's ability to distinguish between different intended motions.
    • Classification accuracy remained consistent when reducing the MES analysis window from 256 ms to 128 ms.

    Conclusions:

    • Spatial decorrelation of MES using signal rotation is an effective preprocessing step for improving prosthetic control.
    • This method allows for more efficient processing by enabling shorter analysis windows, crucial for real-time applications.
    • The findings support the use of advanced signal processing techniques to enhance the performance and responsiveness of myoelectric prostheses.