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 Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Sleep Regularity Index After Stroke: Change Over Time and Its Association With Recovery: A Longitudinal Observational Study.

Journal of the American Heart Association·2026
Same author

Using Compositional Data Analysis to Explore Movement Behaviors in People Who Have Experienced a Stroke.

Journal of neurologic physical therapy : JNPT·2026
Same author

Role of Contralesional Corticoreticulospinal Tract Compensation in Walking Function After Stroke.

Brain and behavior·2026
Same author

Higher Heart Rates During Locomotor High-Intensity Interval Training Are Associated With Gait Asymmetry and Fatigue After Stroke.

Cardiopulmonary physical therapy journal·2026
Same author

Longitudinal changes in the cortico-reticulospinal tract associated with high-intensity locomotor training in chronic stroke.

medRxiv : the preprint server for health sciences·2026
Same author

Predicting Musculoskeletal Adverse Events During Moderate- to High-Intensity Walking Training in Chronic Stroke.

medRxiv : the preprint server for health sciences·2026
Same journal

Management of Patients at Risk of Ischemic Stroke With Left Ventricular Systolic Dysfunction in the Absence of Intracardiac Thrombus: A Scientific Statement From the American Heart Association.

Stroke·2026
Same journal

Update on Rehabilitation After Stroke: Global Changes and the Continued Importance of Therapy Intensity, Dose, and Timing.

Stroke·2026
Same journal

ENTF Neuromodulation Yields Reduced Disability After Stroke: An Individual Participant-Level Data Meta-Analysis.

Stroke·2026
Same journal

Menopause and Its Implications for Stroke in Women.

Stroke·2026
Same journal

Physician Approaches to Determining Goals of Stroke Care for Patients Living With Disability or Dementia: Results from the SEED Mixed-Methods Study.

Stroke·2026
Same journal

Aspirin for Stroke Primary Prevention: A Step Toward Genetic-Driven Personalized Medicine.

Stroke·2026
See all related articles

Related Experiment Video

Updated: Mar 9, 2026

Asymmetric Walkway: A Novel Behavioral Assay for Studying Asymmetric Locomotion
08:19

Asymmetric Walkway: A Novel Behavioral Assay for Studying Asymmetric Locomotion

Published on: January 15, 2016

9.4K

Predicting Home and Community Walking Activity Poststroke.

George D Fulk1, Ying He2, Pierce Boyne2

  • 1From the Department of Physical Therapy (G.D.F.) and Department of Mathematics (Y.H.), Clarkson University, Potsdam, NY; and Department of Rehabilitation Sciences, University of Cincinnati, OH (P.B., K.D.). gfulk@clarkson.edu.

Stroke
|January 7, 2017
PubMed
Summary
This summary is machine-generated.

The 6-minute walk test better predicts walking ability in stroke survivors than gait speed. This finding helps accurately categorize home, limited, and full community ambulators poststroke.

Keywords:
discriminant analysisgaitgoalstrokewalking

More Related Videos

A Rehabilitation Program of Exoskeleton-assisted Body Weight-Supported Treadmill Training with Non-immersive Virtual Reality for Stroke Patients
06:00

A Rehabilitation Program of Exoskeleton-assisted Body Weight-Supported Treadmill Training with Non-immersive Virtual Reality for Stroke Patients

Published on: May 16, 2025

1.3K
Motor Dual-Tasks for Gait Analysis and Evaluation in Post-Stroke Patients
05:23

Motor Dual-Tasks for Gait Analysis and Evaluation in Post-Stroke Patients

Published on: March 11, 2021

3.0K

Related Experiment Videos

Last Updated: Mar 9, 2026

Asymmetric Walkway: A Novel Behavioral Assay for Studying Asymmetric Locomotion
08:19

Asymmetric Walkway: A Novel Behavioral Assay for Studying Asymmetric Locomotion

Published on: January 15, 2016

9.4K
A Rehabilitation Program of Exoskeleton-assisted Body Weight-Supported Treadmill Training with Non-immersive Virtual Reality for Stroke Patients
06:00

A Rehabilitation Program of Exoskeleton-assisted Body Weight-Supported Treadmill Training with Non-immersive Virtual Reality for Stroke Patients

Published on: May 16, 2025

1.3K
Motor Dual-Tasks for Gait Analysis and Evaluation in Post-Stroke Patients
05:23

Motor Dual-Tasks for Gait Analysis and Evaluation in Post-Stroke Patients

Published on: March 11, 2021

3.0K

Area of Science:

  • Neurology
  • Rehabilitation Medicine
  • Biomedical Engineering

Background:

  • Stroke survivors' walking ability is often categorized using gait speed metrics.
  • Existing gait speed categories may not accurately reflect real-world walking activity levels.

Purpose of the Study:

  • To reevaluate factors predicting home and community ambulation in stroke survivors.
  • To utilize real-world walking activity data from activity monitors for categorization.

Main Methods:

  • Secondary analysis of data from two stroke trials.
  • Development of walking categories based on daily steps: Home, limited community, and full community.
  • Multivariate analyses, bootstrap method, and receiver-operating characteristic analysis were used to identify predictors.

Main Results:

  • The 6-minute walk test, Fugl Meyer assessment, and Berg Balance Scale combined were strong predictors.
  • The 6-minute walk test individually predicted home vs. community (AUC=0.82) and limited vs. full community ambulation (AUC=0.76).
  • Comfortable gait speeds of 0.49 m/s and 0.93 m/s differentiated between categories.

Conclusions:

  • The 6-minute walk test is a more effective discriminator of walking categories than comfortable gait speed.
  • Current gait speed benchmarks may overestimate actual walking activity in stroke survivors.