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

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Overlooked Burden of Poststroke Pain: Retrospective Analysis of a Real-World Registry of Survivors of Chronic Stroke.

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Stroke·2023
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Related Experiment Video

Updated: May 23, 2025

Author Spotlight: Rehabilitation of Stroke Patients With a Digital Occupational Training System
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Author Spotlight: Rehabilitation of Stroke Patients With a Digital Occupational Training System

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Biofeedback Training for 3-Dimensional Finger Force Control to Improve Upper Limb Function Poststroke: An RCT.

Na Jin Seo1,2,3, Christian Schranz1,3,4, Kristen Coupland1,3

  • 1Ralph H. Johnson Veterans Affairs Health Care System, Charleston, SC (N.J.S., C.S., K.C., J.B., G.S., C.F., A.B., J.G., A.A., K.H., D.T., V.R.).

Stroke
|May 22, 2025
PubMed
Summary
This summary is machine-generated.

Three-dimensional biofeedback significantly improved hand motor recovery in stroke survivors compared to 1D feedback. This training enhances upper extremity function by focusing on precise force direction control.

Keywords:
biomechanical phenomenafeedback, sensorymotor disordersmotor skillspsychomotor performancestroke rehabilitationupper extermity

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Related Experiment Videos

Last Updated: May 23, 2025

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Author Spotlight: Enhancing Post-Stroke Upper Limb Rehabilitation with Robotic Technologies for Improved Motor Recovery and Functional Outcomes
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Published on: September 6, 2024

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Author Spotlight: Advancing Upper Limb Rehabilitation in Patients with Right Hemisphere Damage Using Assisted Active Exercise
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Area of Science:

  • Neurorehabilitation
  • Biomedical engineering
  • Motor control

Background:

  • Stroke survivors often experience impaired hand sensorimotor control, affecting object manipulation due to inaccurate force scaling and direction.
  • This deficit impacts the ability to perform everyday tasks requiring fine motor skills.

Purpose of the Study:

  • To compare the efficacy of 3-dimensional (3D) versus 1-dimensional (1D) biofeedback training for finger force magnitude and direction.
  • To determine which biofeedback approach enhances post-stroke upper extremity motor recovery more effectively.

Main Methods:

  • A double-blind randomized controlled trial involving 45 stroke survivors was conducted.
  • Participants received 18 training sessions focusing on digit force generation, with one group receiving 3D visual feedback and the other 1D visual feedback.
  • Upper extremity function was assessed using the Action Research Arm Test (ARAT).

Main Results:

  • The experimental group (3D feedback) showed a significantly greater improvement in ARAT scores compared to the control group (1D feedback) (3.5 vs 0.8, P=0.005).
  • This improvement was sustained at 1-month follow-up.
  • Individuals with strokes within the past year in the 3D group showed even greater improvement (6.1, P<0.003).

Conclusions:

  • Force direction feedback, particularly using 3D biofeedback, significantly enhances upper extremity motor recovery in stroke survivors.
  • This biofeedback-based approach offers explicit training in force direction control, crucial for effective hand rehabilitation after stroke.