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

Two-Year Retention of Benefits After Paired Vagus Nerve Stimulation in Stroke: Follow-Up of the VNS-REHAB Randomized Clinical Trial.

Neurology·2026
Same author

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

Stroke·2026
Same author

Factors Underlying Stroke Recovery Variation by Neighborhood Socioeconomic Status.

JAMA network open·2026
Same author

Advances in Stroke 2026: Recovery and Rehabilitation.

Stroke·2026
Same author

A composite measure of cerebral small vessel disease predicts cognitive change after stroke.

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

CALM-VLM: CALIBRATION AND SELECTIVE PREDICTION IN VISION-LANGUAGE MODELS FOR RELIABLE BRAIN MRI CLASSIFICATION.

bioRxiv : the preprint server for biology·2026

Related Experiment Video

Updated: Mar 2, 2026

Author Spotlight: Enhancing Post-Stroke Upper Limb Rehabilitation with Robotic Technologies for Improved Motor Recovery and Functional Outcomes
04:49

Author Spotlight: Enhancing Post-Stroke Upper Limb Rehabilitation with Robotic Technologies for Improved Motor Recovery and Functional Outcomes

Published on: September 6, 2024

1.6K

Validity of Robot-Based Assessments of Upper Extremity Function.

Alison McKenzie1, Lucy Dodakian2, Jill See2

  • 1Chapman University, Irvine, CA; University of California at Irvine, Irvine, CA.

Archives of Physical Medicine and Rehabilitation
|May 10, 2017
PubMed
Summary

Robot-based assessments effectively measure upper extremity motor function in chronic stroke survivors. These methods correlate well with clinical standards and neuroimaging, supporting their use in rehabilitation.

Keywords:
Outcome measuresRehabilitationRoboticsStroke

More Related Videos

Author Spotlight: Enhancing Upper Limb Rehabilitation in Stroke Patients Through Advanced Robotic and Neuromodulation Technologies
05:28

Author Spotlight: Enhancing Upper Limb Rehabilitation in Stroke Patients Through Advanced Robotic and Neuromodulation Technologies

Published on: October 11, 2024

1.3K
Robotic Mirror Therapy System for Functional Recovery of Hemiplegic Arms
10:32

Robotic Mirror Therapy System for Functional Recovery of Hemiplegic Arms

Published on: August 15, 2016

16.1K

Related Experiment Videos

Last Updated: Mar 2, 2026

Author Spotlight: Enhancing Post-Stroke Upper Limb Rehabilitation with Robotic Technologies for Improved Motor Recovery and Functional Outcomes
04:49

Author Spotlight: Enhancing Post-Stroke Upper Limb Rehabilitation with Robotic Technologies for Improved Motor Recovery and Functional Outcomes

Published on: September 6, 2024

1.6K
Author Spotlight: Enhancing Upper Limb Rehabilitation in Stroke Patients Through Advanced Robotic and Neuromodulation Technologies
05:28

Author Spotlight: Enhancing Upper Limb Rehabilitation in Stroke Patients Through Advanced Robotic and Neuromodulation Technologies

Published on: October 11, 2024

1.3K
Robotic Mirror Therapy System for Functional Recovery of Hemiplegic Arms
10:32

Robotic Mirror Therapy System for Functional Recovery of Hemiplegic Arms

Published on: August 15, 2016

16.1K

Area of Science:

  • Neuroscience
  • Rehabilitation Medicine
  • Robotics

Background:

  • Stroke frequently causes upper extremity motor deficits.
  • Accurate assessment of motor function is crucial for rehabilitation planning.
  • Existing clinical assessments may have limitations in capturing the full spectrum of motor impairment.

Purpose of the Study:

  • To validate five robot-based assessments for measuring arm motor function post-stroke.
  • To compare the validity of robot-based assessments against established clinical measures and neuroimaging data.

Main Methods:

  • A cross-sectional study involving 40 participants with chronic stroke and stable arm motor deficits.
  • Robot-based assessments included wrist/finger targeting, speed, reaction time, and a robotic Box and Block Test (BBT).
  • Clinical outcomes included Fugl-Meyer Assessment (FMA), Action Research Arm Test, BBT, Stroke Impact Scale, and Barthel Index. Neuroimaging measured corticospinal tract (CST) and primary motor cortex injury.

Main Results:

  • Robot-based tests, particularly speed, wrist, and finger targeting, showed significant correlations with the FMA arm motor domain scores.
  • Robot-based assessments demonstrated significant correlations with secondary motor outcomes and CST injury.
  • The robotic BBT showed good correlation with the clinical BBT and reduced floor effects.

Conclusions:

  • Robot-based assessments are valid tools for evaluating upper extremity motor function in chronic stroke.
  • These robotic methods offer a reliable and potentially more sensitive alternative or complement to traditional clinical assessments.
  • Findings support the integration of robot-based assessments into clinical practice for stroke rehabilitation.