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Biomechanical Changes Related to Low Back Pain: An Innovative Tool for Movement Pattern Assessment and Treatment Evaluation in Rehabilitation
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Evaluating low back pain through electrodermal activity: a systematic review protocol.

Sergio Sebastia-Amat1,2, Juan Tortosa-Martinez3,2, Gema Sanchis-Soler1,2

  • 1Department of General and Specific Didactics, University of Alicante, 03690 San Vicente del Raspeig, Alicante, Spain.

BMJ Open
|December 4, 2024
PubMed
Summary

Low back pain (LBP) is a common issue, and this review explores using electrodermal activity (EDA) as an objective measure. We aim to find the best EDA methods for assessing LBP and improving diagnosis.

Keywords:
Chronic PainPostureREHABILITATION MEDICINESystematic Review

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Area of Science:

  • Biomedical Engineering
  • Neuroscience
  • Pain Management

Background:

  • Low back pain (LBP) affects over 619 million people globally.
  • Current pain evaluation relies heavily on subjective measures.
  • Objective diagnostic tools for LBP are needed.

Purpose of the Study:

  • To determine the relationship between electrodermal activity (EDA) and LBP.
  • To assess the utility of EDA as an objective tool for evaluating LBP.
  • To analyze EDA measurement methodologies for LBP assessment.

Main Methods:

  • Systematic review protocol registered with PROSPERO (CRD42023464812).
  • Searches in PubMed, Web of Science, and Scopus without time restrictions.
  • Inclusion of studies on adults with acute or chronic LBP, using snowballing.
  • Assessment of methodological quality using PEDro scale and risk of bias with Cochrane RoB2.

Main Results:

  • Data synthesis will focus on participant characteristics, methodological details, and EDA variables.
  • Analysis will identify reliable and effective EDA approaches for LBP.
  • Findings will be disseminated through peer-reviewed publications.

Conclusions:

  • Electrodermal activity (EDA) shows potential as an objective measure for low back pain (LBP).
  • This systematic review will provide insights into effective EDA methodologies for LBP assessment.
  • Results may inform the development of advanced diagnostic tools for LBP.