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Updated: May 10, 2026

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Biofeedback in rehabilitation.

Oonagh M Giggins1, Ulrik McCarthy Persson, Brian Caulfield

  • 1Clarity Centre for Sensor Web Technologies, University College Dublin, Belfield, Dublin 4, Ireland. oonagh.giggins@ucdconnect.ie

Journal of Neuroengineering and Rehabilitation
|June 20, 2013
PubMed
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Biofeedback in physical rehabilitation utilizes biomechanical and physiological measurements. Emerging technologies like virtual reality show promise, but more research is needed for diverse applications.

Area of Science:

  • Rehabilitation Medicine
  • Biomedical Engineering
  • Physical Therapy

Background:

  • Biofeedback in physical rehabilitation leverages biomechanical and physiological measurements.
  • Key physiological systems include neuromuscular, respiratory, and cardiovascular.
  • Biomechanical feedback measures movement, posture, and force output.

Purpose of the Study:

  • To review the literature on biofeedback methods in physical rehabilitation.
  • To summarize the effectiveness of various biofeedback techniques.
  • To identify gaps in current research and suggest future directions.

Main Methods:

  • Literature review of biofeedback applications in physical rehabilitation.
  • Categorization of biofeedback by measurement type (biomechanical, physiological).

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Last Updated: May 10, 2026

Surface Electromyographic Biofeedback as a Rehabilitation Tool for Patients with Global Brachial Plexus Injury Receiving Bionic Reconstruction
09:14

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Movement Retraining using Real-time Feedback of Performance
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Published on: January 17, 2013

The use of Biofeedback in Clinical Virtual Reality: The INTREPID Project
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  • Analysis of evidence for neuromuscular, respiratory, cardiovascular, and biomechanical methods.

    • Main Results:

    • Electromyography (EMG) biofeedback is effective for musculoskeletal and post-CVA conditions.
    • Real-time ultrasound imaging (RTUS) biofeedback aids low back pain and pelvic floor dysfunction.
    • Inertial sensing biofeedback improves balance; VR/exergaming shows potential in rehabilitation.

    Conclusions:

    • Biofeedback, particularly EMG and inertial sensing, shows efficacy in various rehabilitation settings.
    • Cardiovascular and respiratory biofeedback require further systematic review and large-scale studies.
    • Future research should focus on diverse clinical populations and advanced biofeedback delivery systems like VR.