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

Effects of dexmedetomidine on the prevention of nausea and vomiting in children after upper limb fracture surgery.

American journal of translational research·2026
Same author

Blue-Light-Excited Cyan-Emitting Carbon-Dot-Ormosil Gel for Blue-Overshoot Mitigation and Cyan-Gap Bridging in WLEDs.

Small (Weinheim an der Bergstrasse, Germany)·2026
Same author

Silane-functionalized carbon dots for full-spectrum white light-emitting diodes.

Chemical communications (Cambridge, England)·2025
Same author

Corrigendum to "Elucidating the distinctive regulatory effects and mechanisms of active compounds in Salvia miltiorrhiza Bunge via network pharmacology: Unveiling their roles in the modulation of platelet activation and thrombus formation" [Toxicology and Applied Pharmacology volume 484, March 2024, 116871].

Toxicology and applied pharmacology·2025
Same author

Correction: Effect of shift work on cerebral cortical activation and functional connectivity in nurses-implications for policy maker: a fNIRS observational study.

BMC nursing·2025
Same author

Effect of shift work on cerebral cortical activation and functional connectivity in nurses-implications for policy maker: a fNIRS observational study.

BMC nursing·2025

Related Experiment Video

Updated: Jul 29, 2025

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

13.9K

Assistance level quantification-based human-robot interaction space reshaping for rehabilitation training.

Xiangyun Li1,2, Qi Lu3, Peng Chen4

  • 1West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China.

Frontiers in Neurorobotics
|May 19, 2023
PubMed
Summary
This summary is machine-generated.

Stroke rehabilitation robots can now offer personalized, safe upper limb training. New methods adapt robot assistance based on patient recovery, improving daily living activities for survivors.

Keywords:
AANEMGassistance level quantificationhuman-robot interactioninteraction space reshapingrehabilitation training

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

811
The Combined Use of Transcranial Direct Current Stimulation and Robotic Therapy for the Upper Limb
14:56

The Combined Use of Transcranial Direct Current Stimulation and Robotic Therapy for the Upper Limb

Published on: September 23, 2018

9.1K

Related Experiment Videos

Last Updated: Jul 29, 2025

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

13.9K
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

811
The Combined Use of Transcranial Direct Current Stimulation and Robotic Therapy for the Upper Limb
14:56

The Combined Use of Transcranial Direct Current Stimulation and Robotic Therapy for the Upper Limb

Published on: September 23, 2018

9.1K

Area of Science:

  • Biomedical Engineering
  • Rehabilitation Robotics
  • Neuroscience

Background:

  • Stroke frequently causes upper limb motor dysfunction, impacting daily living activities.
  • Current rehabilitation robots struggle to provide interactive, clinician-like assistance.
  • Personalized rehabilitation is crucial for effective stroke recovery.

Purpose of the Study:

  • To develop a safe and effective human-robot interaction method for upper limb stroke rehabilitation.
  • To implement an assist-as-needed (AAN) control strategy adapting to patient recovery states.
  • To quantify patient engagement and rehabilitation needs during robot-assisted training.

Main Methods:

  • Proposed a human-robot interaction space reshaping method based on patient recovery states.
  • Utilized a PSO-SVM classification model and an LSTM-KF regression model with EMG and kinematic data for motor ability recognition.
  • Designed seven experimental protocols and a region controller for interaction space shaping.
  • Conducted offline and online experiments to validate the machine learning and AAN control.

Main Results:

  • The proposed method enabled effective and safe upper limb rehabilitation training.
  • Machine learning models accurately recognized patient motor ability for AAN control.
  • A quantified assistance level index was defined to characterize rehabilitation needs.

Conclusions:

  • The developed AAN control strategy enhances human-robot interaction in stroke rehabilitation.
  • The system provides adaptive and personalized upper limb training, improving patient outcomes.
  • The quantified assistance level index shows potential for clinical application in stroke rehabilitation.