Skip to navigation Skip to content
  • Woodruff
  • Business
  • Health Sciences
  • Law
  • MARBL
  • Oxford College
  • Theology
  • Schools
    • Undergraduate

      • Emory College
      • Oxford College
      • Business School
      • School of Nursing

      Community

      • Emory College
      • Oxford College
      • Business School
      • School of Nursing
    • Graduate

      • Business School
      • Graduate School
      • School of Law
      • School of Medicine
      • School of Nursing
      • School of Public Health
      • School of Theology
  • Libraries
    • Libraries

      • Robert W. Woodruff
      • Business
      • Chemistry
      • Health Sciences
      • Law
      • MARBL
      • Music & Media
      • Oxford College
      • Theology
    • Library Tools

      • Course Reserves
      • Databases
      • Digital Scholarship (ECDS)
      • discoverE
      • eJournals
      • Electronic Dissertations
      • EmoryFindingAids
      • EUCLID
      • ILLiad
      • OpenEmory
      • Research Guides
  • Resources
    • Resources

      • Administrative Offices
      • Emory Healthcare
      • Academic Calendars
      • Bookstore
      • Campus Maps
      • Shuttles and Parking
      • Athletics: Emory Eagles
      • Arts at Emory
      • Michael C. Carlos Museum
      • Emory News Center
      • Emory Report
    • Resources

      • Emergency Contacts
      • Information Technology (IT)
      • Outlook Web Access
      • Office 365
      • Blackboard
      • OPUS
      • PeopleSoft Financials: Compass
      • Careers
      • Human Resources
      • Emory Alumni Association
  • Browse
    • Works by Author
    • Works by Journal
    • Works by Subject
    • Works by Dept
    • Faculty by Dept
  • For Authors
    • How to Submit
    • Deposit Advice
    • Author Rights
    • Publishing Your Data
    • FAQ
    • Emory Open Access Policy
    • Open Access Fund
  • About OpenEmory
    • About OpenEmory
    • About Us
    • Citing Articles
    • Contact Us
    • Privacy Policy
    • Terms of Use
 
Contact Us

Filter Results:

Year

  • 2008 (1)

Author

  • Binder-Macleod, Stuart A. (1)
  • Ding, Jun (1)
  • Kesar, Trisha M. (1)
  • Maladen, Ryan (1)
  • Perumal, Ramu (1)
  • Wexler, Anthony S. (1)

Subject

  • Engineering, Biomedical (1)
  • Health Sciences, Rehabilitation and Therapy (1)

Journal

  • Journal of NeuroEngineering and Rehabilitation (1)

Keyword

  • biomed (1)
  • biomedicin (1)
  • catch (1)
  • catchlik (1)
  • control (1)
  • controlledtri (1)
  • electr (1)
  • electricalstimul (1)
  • engin (1)
  • forc (1)
  • function (1)
  • gait (1)
  • hemipleg (1)
  • injuri (1)
  • life (1)
  • like (1)
  • mathemat (1)
  • mathematicalmodel (1)
  • muscl (1)
  • neurolog (1)
  • neurosci (1)
  • patient (1)
  • properti (1)
  • quadricep (1)
  • random (1)
  • rehabilit (1)
  • scienc (1)
  • skelet (1)
  • skeletalmuscl (1)
  • spinal (1)
  • spinalcord (1)
  • stimul (1)
  • technolog (1)
  • trial (1)

Author department

  • Rehab: DPT Program (1)

Search Results for all work with filters:

  • cord
  • model
  • isometr

Work 1 of 1

Sorted by relevance

Article

Predicting muscle forces of individuals with hemiparesis following stroke

by Trisha M. Kesar; Jun Ding; Anthony S. Wexler; Ramu Perumal; Ryan Maladen; Stuart A. Binder-Macleod

2008

Subjects
  • Engineering, Biomedical
  • Health Sciences, Rehabilitation and Therapy
  • File Download
  • View Abstract

Abstract:Close

Background. Functional electrical stimulation (FES) has been used to improve function in individuals with hemiparesis following stroke. An ideal functional electrical stimulation (FES) system needs an accurate mathematical model capable of designing subject and task-specific stimulation patterns. Such a model was previously developed in our laboratory and shown to predict the isometric forces produced by the quadriceps femoris muscles of able-bodied individuals and individuals with spinal cord injury in response to a wide range of clinically relevant stimulation frequencies and patterns. The aim of this study was to test our isometric muscle force model on the quadriceps femoris, ankle dorsiflexor, and ankle plantar-flexor muscles of individuals with post-stroke hemiparesis. Methods. Subjects were seated on a force dynamometer and isometric forces were measured in response to a range of stimulation frequencies (10 to 80-Hz) and 3 different patterns. Subject-specific model parameter values were obtained by fitting the measured force responses from 2 stimulation trains. The model parameters thus obtained were then used to obtain predicted forces for a range of frequencies and patterns. Predicted and measured forces were compared using intra-class correlation coefficients, r2 values, and model error relative to the physiological error (variability of measured forces). Results. Results showed excellent agreement between measured and predicted force-time responses (r2 >0.80), peak forces (ICCs>0.84), and force-time integrals (ICCs>0.82) for the quadriceps, dorsiflexor, and plantar-fexor muscles. The model error was within or below the +95% confidence interval of the physiological error for >88% comparisons between measured and predicted forces. Conclusion. Our results show that the model has potential to be incorporated as a feed-forward controller for predicting subject-specific stimulation patterns during FES.
Site Statistics
  • 16,813
  • Total Works
  • 3,643,993
  • Downloads
  • 1,119,904
  • Downloads This Year
  • 6,807
  • Faculty Profiles

Copyright © 2016 Emory University - All Rights Reserved
540 Asbury Circle, Atlanta, GA 30322-2870
(404) 727-6861
Privacy Policy | Terms & Conditions

v2.2.8-dev

Contact Us Recent and Popular Items
Download now