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

New algorithm to control a cycle ergometer using electrical stimulation.

J S Petrofsky1

  • 1Department of Physical Therapy, School of Allied Health, Loma Linda University, California, USA. Jerry-petrofsky@sahp.llu.edu

Medical & Biological Engineering & Computing
|February 8, 2003
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

Functional electrical exercise: a comprehensive approach for physical conditioning of the spinal cord injured patient.

Orthopedics·2014
Same author

Closed loop control for restoration of movement in paralyzed muscle.

Orthopedics·2014
Same author

An effective method for skin blood flow measurement using local heat combined with electrical stimulation.

Journal of medical engineering & technology·2009
Same author

Heat transfer to deep tissue: the effect of body fat and heating modality.

Journal of medical engineering & technology·2009
Same author

A device for the evaluation of sitting and reach balance in people in wheelchairs and standing.

Journal of medical engineering & technology·2006
Same author

Magnetically coupled balance platform.

Journal of medical engineering & technology·2004
Same journal

Deep multi-modal features based spatio-temporal video regression for non-invasive hemoglobin estimation.

Medical & biological engineering & computing·2026
Same journal

Reduced mechanical strength correlates with decreased elastin content in aortic intima-media tissue: association with dissection in human ascending aortas.

Medical & biological engineering & computing·2026
Same journal

How plaque morphology and stenosis severity govern stent-artery interaction and deployment outcomes: a computational study.

Medical & biological engineering & computing·2026
Same journal

Investigating a relation between amyloid beta plaque burden and accumulated neurotoxicity caused by amyloid beta oligomers.

Medical & biological engineering & computing·2026
Same journal

A robot-assisted eye positioning method with high precision and repeatability for ocular particle therapy: mechanical and geometric assessment.

Medical & biological engineering & computing·2026
Same journal

Enhanced puncture event detection for teleoperated needle insertion robotic system.

Medical & biological engineering & computing·2026
See all related articles

New equations improved functional electrical stimulation (FES) cycle ergometry for paralyzed individuals. This enhanced control doubled workload and increased cardiac output, showing limitations lie in control algorithms, not paralyzed muscles.

Area of Science:

  • Biomedical Engineering
  • Rehabilitation Technology
  • Neuroscience

Background:

  • Functional electrical stimulation (FES) cycle ergometry is a key rehabilitation tool for individuals with spinal cord injuries.
  • Current FES systems face limitations in optimizing muscle activation and workload capacity.
  • Understanding the interplay between load, speed, and muscle recruitment is crucial for improving FES efficacy.

Purpose of the Study:

  • To develop and test novel control equations for FES cycle ergometry in paralyzed individuals.
  • To investigate the relationships between load, speed, and muscle activation during FES cycling.
  • To enhance movement control and workload capacity in FES-assisted cycle ergometry.

Main Methods:

  • Collected data on load, speed, and muscle use from four male subjects during cycle ergometry.

Related Experiment Videos

  • Constructed multivariate equations to govern muscle stimulation (quadriceps, gluteus maximus, hamstrings) in paralyzed individuals.
  • Tested the new algorithm on four subjects with complete spinal cord injuries (T4-T11).
  • Assessed physiological stress using cardiac output measurements.

    • Main Results:

    • The new algorithm significantly improved movement control during FES cycle ergometry.
    • Work accomplished was doubled compared to traditional FES cycle ergometry (5880 Nm min(-1) vs. 2940 Nm min(-1)).
    • Cardiac output increased nearly two-fold during maximum work with the new algorithm (8.1 L min(-1) vs. 15 L min(-1)).

    Conclusions:

    • The control equations, not the paralyzed muscles, represent the primary limitation in FES cycle ergometry workload.
    • The developed algorithm offers a promising advancement for improving FES cycling performance and rehabilitation outcomes.
    • Further research into advanced control strategies can unlock greater potential for FES-based interventions.