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利用传感器预防、预测慢性腰痛的发生并实现个体化治疗:系统评价。

The Use of Sensors to Prevent, Predict Transition to Chronic and Personalize Treatment of Low Back Pain: A Systematic Review.

机构信息

IIS Aragon-iHealthy Research Group, C. de San Juan Bosco, 13, 50009 Zaragoza, Spain.

Department of Physiatry and Nursing, Faculty of Health Sciences, University of Zaragoza, C. de Domingo Miral, S/N, 50009 Zaragoza, Spain.

出版信息

Sensors (Basel). 2023 Sep 6;23(18):7695. doi: 10.3390/s23187695.

Abstract

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.

摘要

非特异性下背痛(NSLBP)是一种高发疾病,它会导致大量的经济支出,并影响患者的职业和娱乐活动、身心健康和整体幸福感。由于该疾病的潜在病因尚不清楚,因此其诊断和治疗具有一定的挑战性。最近,传感器已被纳入临床实践以对其进行管理。在本次综述中,我们进一步了解了力台、视频系统、肌电图或惯性测量系统等传感器在 NSLBP 评估过程中的潜在益处。我们得出结论,传感器可以识别出该人群的一些特定特征,例如运动范围受限、稳定性降低或背部肌肉活动紊乱。传感器可以为患者提供更早的诊断、避免慢性进展的预防策略以及更有效的治疗方法。然而,本综述存在一定的局限性,在解释结果时需要考虑这些局限性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d33/10534870/860210cb6892/sensors-23-07695-g001.jpg

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