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  4. Learning Transversus Abdominis Activation in Older Adults with Chronic Low Back Pain Using an Ultrasound-Based Wearable: A Randomized Controlled Pilot Study
 
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2025
Journal Article
Title

Learning Transversus Abdominis Activation in Older Adults with Chronic Low Back Pain Using an Ultrasound-Based Wearable: A Randomized Controlled Pilot Study

Abstract
Background/Objectives: Chronic low back pain (CLBP) is prevalent among older adults and leads to significant functional limitations and reduced quality of life. Segmental stabilization exercises (SSEs) are commonly used to treat CLBP, but the selective activation of deep abdominal muscles during these exercises can be challenging for patients. To support muscle activation, physiotherapists use biofeedback methods such as palpation and ultrasound imaging. This randomized controlled pilot study aimed to compare the effectiveness of these two biofeedback techniques in older adults with CLBP. Methods: A total of 24 participants aged 65 years or older with CLBP were randomly assigned to one of two groups: one group performed self-palpation biofeedback, while the other group used real-time ultrasound imaging to visualize abdominal muscle activation. Muscle activation and thickness were continuously tracked using a semi-automated algorithm. The preferential activation ratio (PAR) was calculated to measure muscle activation, and statistical comparisons between groups were made using ANOVA. Results: Both groups achieved positive PAR values during all repetitions of the abdominal-draw-in maneuver (ADIM) and abdominal bracing (AB). Statistical analysis revealed no significant differences between the groups in terms of PAR during ADIM (F(2, 42) = 0.548, p = 0.58, partial η2 = 0.025) or AB (F(2, 36) = 0.812, p = 0.45, partial η2 = 0.043). Both groups reported high levels of exercise enjoyment and low task load. Conclusions: In conclusion, both palpation and ultrasound biofeedback appear to be effective for guiding older adults with CLBP during SSE. Larger studies are needed to confirm these results and examine the long-term effectiveness of these biofeedback methods.
Author(s)
Perotti, Luis
Charité - Universitätsmedizin Berlin
Stamm, Oskar
Charité—Universitätsmedizin Berlin
Strohm, Hannah
Fraunhofer-Institut für Digitale Medizin MEVIS  
Jenne, Jürgen Walter  
Fraunhofer-Institut für Digitale Medizin MEVIS  
Fournelle, Marc  orcid-logo
Fraunhofer-Institut für Biomedizinische Technik IBMT  
Lahmann, Nils Axel
Charité – Universitätsmedizin Berlin
Müller-Werdan, Ursula
Charité – Universitätsmedizin Berlin
Journal
Journal of functional morphology and kinesiology  
Open Access
DOI
10.3390/jfmk10010014
Language
English
Fraunhofer-Institut für Digitale Medizin MEVIS  
Fraunhofer-Institut für Biomedizinische Technik IBMT  
Keyword(s)
  • biofeedback

  • chronic low back pain

  • deep learning

  • preferential activation ratio

  • real-time

  • segmental stabilization

  • ultrasound imaging

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