Low back pain (LBP) remains one of the most prevalent and disabling musculoskeletal conditions globally, with profound social, economic, and healthcare implications. The rising incidence and chronic nature of LBP highlight the need for more objective, personalized, and effective approaches to assessment and rehabilitation. In this context, bioengineering has emerged as a transformative field, offering novel tools and methodologies that enhance the understanding and management of LBP. This narrative review examines current bioengineering applications in both diagnostic and therapeutic domains. For assessment, technologies such as wearable inertial sensors, three-dimensional motion capture systems, surface electromyography, and biomechanical modeling provide real-time, quantitative insights into posture, movement patterns, and muscle activity. On the therapeutic front, innovations including robotic exoskeletons, neuromuscular electrical stimulation, virtual reality-based rehabilitation, and tele-rehabilitation platforms are increasingly being integrated into multimodal treatment protocols. These technologies support precision medicine by tailoring interventions to each patient’s biomechanical and functional profile. Furthermore, the incorporation of artificial intelligence into clinical workflows enables automated data analysis, predictive modeling, and decision support systems, while future directions such as digital twin technology hold promise for personalized simulation and outcome forecasting. While these advancements are promising, further validation in large-scale, real-world settings is required to ensure safety, efficacy, and equitable accessibility. Ultimately, bioengineering provides a multidimensional, data-driven framework that has the potential to significantly improve the assessment, rehabilitation, and overall management of LBP.

Bioengineering Support in the Assessment and Rehabilitation of Low Back Pain / Varrassi, Giustino; Leoni, Matteo Luigi Giuseppe; Al-Alwany, Ameen Abdulhasan; Sarzi Puttini, Piercarlo; Farì, Giacomo. - In: BIOENGINEERING. - ISSN 2306-5354. - 12:9(2025). [10.3390/bioengineering12090900]

Bioengineering Support in the Assessment and Rehabilitation of Low Back Pain

Leoni, Matteo Luigi Giuseppe
Secondo
;
2025

Abstract

Low back pain (LBP) remains one of the most prevalent and disabling musculoskeletal conditions globally, with profound social, economic, and healthcare implications. The rising incidence and chronic nature of LBP highlight the need for more objective, personalized, and effective approaches to assessment and rehabilitation. In this context, bioengineering has emerged as a transformative field, offering novel tools and methodologies that enhance the understanding and management of LBP. This narrative review examines current bioengineering applications in both diagnostic and therapeutic domains. For assessment, technologies such as wearable inertial sensors, three-dimensional motion capture systems, surface electromyography, and biomechanical modeling provide real-time, quantitative insights into posture, movement patterns, and muscle activity. On the therapeutic front, innovations including robotic exoskeletons, neuromuscular electrical stimulation, virtual reality-based rehabilitation, and tele-rehabilitation platforms are increasingly being integrated into multimodal treatment protocols. These technologies support precision medicine by tailoring interventions to each patient’s biomechanical and functional profile. Furthermore, the incorporation of artificial intelligence into clinical workflows enables automated data analysis, predictive modeling, and decision support systems, while future directions such as digital twin technology hold promise for personalized simulation and outcome forecasting. While these advancements are promising, further validation in large-scale, real-world settings is required to ensure safety, efficacy, and equitable accessibility. Ultimately, bioengineering provides a multidimensional, data-driven framework that has the potential to significantly improve the assessment, rehabilitation, and overall management of LBP.
2025
artificial intelligence; bioengineering; electromyography; low back pain; rehabilitation; virtual reality; wearable sensors
01 Pubblicazione su rivista::01g Articolo di rassegna (Review)
Bioengineering Support in the Assessment and Rehabilitation of Low Back Pain / Varrassi, Giustino; Leoni, Matteo Luigi Giuseppe; Al-Alwany, Ameen Abdulhasan; Sarzi Puttini, Piercarlo; Farì, Giacomo. - In: BIOENGINEERING. - ISSN 2306-5354. - 12:9(2025). [10.3390/bioengineering12090900]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1749749
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