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Título
The Use of Sensors to Prevent, Predict Transition to Chronic and Personalize Treatment of Low Back Pain: A Systematic Review
Autor
Facultad/Centro
Área de conocimiento
Título de la revista
Sensors
Número de la revista
18
Datos de la obra
Herrero, P., Ríos-Asín, I., Lapuente-Hernández, D., Pérez, L., Calvo, S., & Gil-Calvo, M. (2023). The Use of Sensors to Prevent, Predict Transition to Chronic and Personalize Treatment of Low Back Pain: A Systematic Review. Sensors, 23(18), 7695.
Editor
MDPI
Fecha
2023
Abstract
[EN] Non-specific low back pain (NSLBP) is a highly prevalent condition that implies substantial expenses and affects quality of life in terms of occupational and recreational activities, physical and psychological health, and general well-being. The diagnosis and treatment are challenging processes due to the unknown underlying causes of the condition. Recently, sensors have been included in clinical practice to implement its management. In this review, we furthered knowledge about the potential benefits of sensors such as force platforms, video systems, electromyography, or inertial measure systems in the assessment process of NSLBP. We concluded that sensors could identify specific characteristics of this population like impaired range of movement, decreased stability, or disturbed back muscular activation. Sensors could provide sufferers with earlier diagnosis, prevention strategies to avoid chronic transition, and more efficient treatment approaches. Nevertheless, the review has limitations that need to be considered in the interpretation of results.
Materia
Palabras clave
Peer review
SI
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DOI
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