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The Application of Surface Electromyography Technology in Evaluating Paraspinal Muscle Function.

Moran Suo^1,2, Lina Zhou³, Jinzuo Wang^1,2

¹Department of Orthopedics, First Affiliated Hospital of Dalian Medical University, Dalian 116011, China.

Diagnostics (Basel, Switzerland)

|June 19, 2024

Summary

Surface electromyography (sEMG) offers valuable insights into paraspinal muscle function for diagnosing spinal disorders and guiding rehabilitation. This review highlights sEMG

Keywords:

functional exercise low back pain muscle function paraspinal muscles spinal disorders surface electromyography

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Area of Science:

Biomedical Engineering
Kinesiology
Rehabilitation Science

Background:

Paraspinal muscles are crucial for spinal stability and movement.
Alterations in paraspinal muscle activity are linked to musculoskeletal disorders and spinal pathologies.
Accurate assessment of paraspinal muscle function is vital for diagnosis and treatment planning.

Purpose of the Study:

To review the applications of surface electromyography (sEMG) in assessing paraspinal muscle activity.
To explore the role of sEMG in diagnosing low back pain and spinal disorders.
To evaluate sEMG's utility in monitoring rehabilitation interventions for spinal conditions.

Main Methods:

Comprehensive literature review of studies utilizing sEMG for paraspinal muscle assessment.
Analysis of sEMG data in the context of low back pain, spinal disorders, and rehabilitation.
Discussion of emerging sEMG technologies and advancements.

Main Results:

sEMG provides quantitative data on paraspinal muscle activation patterns.
sEMG aids in differentiating causes of low back pain and assessing treatment efficacy.
sEMG is valuable for monitoring responses to physical therapy, spinal manipulation, and exercise.

Conclusions:

sEMG is an effective tool for evaluating paraspinal muscle function and dysfunction.
sEMG offers critical insights for diagnosis, treatment planning, and outcome monitoring in spinal conditions.
Further advancements in sEMG techniques can enhance the accuracy and reliability of paraspinal muscle assessment.