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

Depemokimab and the twice-yearly regimen: pharmacological implications and therapeutic positioning in severe eosinophilic respiratory diseases.

Frontiers in immunology·2026
Same author

Does maternal respiration modulate maternal-fetal cardiovascular coupling?

Computers in biology and medicine·2026
Same author

On the road to Cybathlon 2024: lessons learned from the Polimi FES-bike team.

Journal of neuroengineering and rehabilitation·2026
Same author

Effectiveness of treadmill-based virtual-reality biofeedback training to improve gait function in children and adolescents with congenital and acquired brain injury.

Scientific reports·2025
Same author

Mapping the complexity of motor variability: From individual space of variability to motor fingerprints.

Behavior research methods·2025
Same author

Evaluating the health and fitness benefits of a 6-month FES-cycling program on a recumbent trike for individuals with motor complete SCI: a pilot study.

Journal of neuroengineering and rehabilitation·2025

Related Experiment Video

Updated: Mar 29, 2026

Haptic/Graphic Rehabilitation: Integrating a Robot into a Virtual Environment Library and Applying it to Stroke Therapy
13:44

Haptic/Graphic Rehabilitation: Integrating a Robot into a Virtual Environment Library and Applying it to Stroke Therapy

Published on: August 8, 2011

14.8K

Quantitative Evaluation of Performance during Robot-assisted Treatment.

E Peri1, E Biffi, C Maghini

  • 1Elisabetta Peri, Via G. Colombo 40, 20133 Milano (Mi), Italy,

Methods of Information in Medicine
|December 8, 2015
PubMed
Summary

A new simple parameter, P, effectively measures upper limb robotic training performance in children with cerebral palsy (CP). This parameter quantifies improvements in motion abilities, correlating with clinical assessments.

Keywords:
Assessmentcerebral palsyrehabilitationroboticsupper limb

More Related Videos

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

1.7K
Development of a Novel Task-oriented Rehabilitation Program using a Bimanual Exoskeleton Robotic Hand
06:44

Development of a Novel Task-oriented Rehabilitation Program using a Bimanual Exoskeleton Robotic Hand

Published on: May 20, 2020

7.7K

Related Experiment Videos

Last Updated: Mar 29, 2026

Haptic/Graphic Rehabilitation: Integrating a Robot into a Virtual Environment Library and Applying it to Stroke Therapy
13:44

Haptic/Graphic Rehabilitation: Integrating a Robot into a Virtual Environment Library and Applying it to Stroke Therapy

Published on: August 8, 2011

14.8K
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

1.7K
Development of a Novel Task-oriented Rehabilitation Program using a Bimanual Exoskeleton Robotic Hand
06:44

Development of a Novel Task-oriented Rehabilitation Program using a Bimanual Exoskeleton Robotic Hand

Published on: May 20, 2020

7.7K

Area of Science:

  • Rehabilitation Engineering
  • Robotics in Medicine
  • Pediatric Physical Therapy

Background:

  • Robotic systems offer significant potential for collecting quantitative data in clinical settings.
  • This data is often underutilized in patient rehabilitation due to a lack of simple, integrated assessment tools.
  • Developing automated metrics is crucial for efficient and objective patient monitoring.

Purpose of the Study:

  • To introduce a straightforward parameter (P) for assessing subject performance during upper limb robotic training.
  • To leverage robot-recorded data for performance evaluation without additional patient or clinician burden.
  • To provide a quantitative measure of progress in robotic-assisted rehabilitation.

Main Methods:

  • Fourteen children with cerebral palsy (CP) participated in upper limb training using the Armeo®Spring robotic device.
  • Performance during each session was evaluated using the parameter P, derived from automatically recorded robot data.
  • Group analysis involved computing median and interquartile values of P over time.

Main Results:

  • The study observed a significant increase in the median (interquartile) values of parameter P from 0.27 (0.21) at baseline (T0) to 0.55 (0.27) at follow-up (T1).
  • This quantitative improvement in robotic training performance was corroborated by a significant enhancement in the Melbourne Assessment of Unilateral Upper Limb Function.
  • The results demonstrate the parameter's sensitivity to changes in motor function.

Conclusions:

  • The developed parameter P effectively quantifies performance variations during robotic training.
  • It provides a reliable and objective measure of motion abilities, comparable to established clinical scales.
  • This simple, automated parameter enhances the clinical utility of robotic rehabilitation data.