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Needs and Attitudes of Older Chronic Back Pain Patients towards a Wearable for Ultrasound Biofeedback during Stabilization Exercises: A Qualitative Analysis

Author

Listed:
  • Luis Perotti

    (Department of Geriatrics and Medical Gerontology, Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, 13347 Berlin, Germany)

  • Oskar Stamm

    (Department of Geriatrics and Medical Gerontology, Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, 13347 Berlin, Germany)

  • Lisa Mesletzky

    (Department of Geriatrics and Medical Gerontology, Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, 13347 Berlin, Germany)

  • Susan Vorwerg

    (Department of Geriatrics and Medical Gerontology, Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, 13347 Berlin, Germany)

  • Marc Fournelle

    (Department of Ultrasound, Fraunhofer Institute for Biomedical Engineering, 66280 Sulzbach, Germany)

  • Ursula Müller-Werdan

    (Department of Geriatrics and Medical Gerontology, Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, 13347 Berlin, Germany)

Abstract

Chronic back pain has a high prevalence, especially in older adults, and seriously affects sufferers’ quality of life. Segmental stabilization exercise (SSE) is often used during physiotherapy to enhance core stability. The execution of SSE requires the selective contraction of deep abdominal and back muscles. Motor learning can be supported using ultrasound imaging as visual biofeedback. ULTRAWEAR is a mobile ultrasound system that provides deep learning-based biofeedback on SSE execution, which is currently under development. We interviewed 15 older chronic back pain patients (CBPPs) to investigate their pain management behavior, experience with SSE, as well as their needs and requirements for ULTRAWEAR. We also gathered information about future-usage scenarios. CBPPs reported a high willingness to use the system as a feedback tool both in physiotherapeutic practices and at home. The automated detection and evaluation of muscle contraction states was highlighted as a major benefit of the system compared to the more subjective feedback provided by traditional methods such as palpation. The system to be developed was perceived as a helpful solution to support learning about SSE.

Suggested Citation

  • Luis Perotti & Oskar Stamm & Lisa Mesletzky & Susan Vorwerg & Marc Fournelle & Ursula Müller-Werdan, 2023. "Needs and Attitudes of Older Chronic Back Pain Patients towards a Wearable for Ultrasound Biofeedback during Stabilization Exercises: A Qualitative Analysis," IJERPH, MDPI, vol. 20(6), pages 1-20, March.
    • Handle: RePEc:gam:jijerp:v:20:y:2023:i:6:p:4927-:d:1093969
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    References listed on IDEAS

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    1. Jarred G. Gillett & Rod S. Barrett & Glen A. Lichtwark, 2013. "Reliability and accuracy of an automated tracking algorithm to measure controlled passive and active muscle fascicle length changes from ultrasound," Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 16(6), pages 678-687, June.
    2. Juan Antonio Valera-Calero & César Fernández-de-las-Peñas & Umut Varol & Ricardo Ortega-Santiago & Gracia María Gallego-Sendarrubias & José Luis Arias-Buría, 2021. "Ultrasound Imaging as a Visual Biofeedback Tool in Rehabilitation: An Updated Systematic Review," IJERPH, MDPI, vol. 18(14), pages 1-19, July.
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