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

Predicting quadriceps muscle activity during gait with an automatic rule determination method

Z M Nikolic1, D B Popovic

  • 1Miami Project to Cure Paralysis, University of Miami, FL 33136, USA.

IEEE Transactions on Bio-Medical Engineering
|August 6, 1998
PubMed
Summary

This study introduces an automated method for creating skill-based expert systems for gait restoration. The system uses entropy minimization to generate rules from sensor data, enabling better understanding of muscle activity patterns during walking.

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

Resonant dynamic Stark shift as a tool in strong-field quantum control: calculation and application for selective multiphoton ionization of sodium.

Physical chemistry chemical physics : PCCP·2017
Same author

Recording and assessment of evoked potentials with electrode arrays.

Medical & biological engineering & computing·2015
Same author

Motor skill learning and neuro-rehabilitation.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society·2012
Same author

Synergistic control of forearm based on accelerometer data and artificial neural networks.

Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologicas·2008
Same author

Neuromodulation of lower limb monoparesis: functional electrical therapy of walking.

Acta neurochirurgica. Supplement·2007
Same author

Symmetry of post-movement beta-ERS and motor recovery from stroke: a low-resolution EEG pilot study.

European journal of neurology·2006

Area of Science:

  • Biomedical Engineering
  • Rehabilitation Technology
  • Control Systems

Background:

  • Skill-based expert systems show promise for gait restoration.
  • Rule-based systems offer fast, comprehensible, and implementable control.
  • A key challenge is the difficulty users face in determining system rules.

Purpose of the Study:

  • To describe an automatic method for deriving production rules from example data.
  • To develop a rule base induced from a model using external sensor signals and electromyogram (EMG) patterns.
  • To estimate muscle activity patterns using sensor information via production rules.

Main Methods:

  • An automatic rule induction method based on entropy minimization was employed.
  • A model was used to induce the rule base from sensor inputs and EMG outputs.

Related Experiment Videos

  • The algorithm was validated using data from able-bodied individuals during walking with and without ankle-foot orthoses.

    • Main Results:

    • The developed method successfully induced production rules for estimating muscle activity patterns.
    • Gait variability increased in subjects with restricted ankle joint motion, validating the system's generalization test.
    • Experimental results demonstrated the production rule's performance in estimating quadriceps muscle activity during walking.

    Conclusions:

    • The automatic rule induction method provides a viable approach for developing skill-based expert systems for gait restoration.
    • The system effectively estimates muscle activity patterns, contributing to advancements in rehabilitation technology.
    • The findings highlight the potential of entropy minimization for rule generation in biological control systems.