IDERGO (Research and Development in Ergonomics), I3A (Instituto de Investigación en Ingeniería de Aragón), University of Zaragoza, C/Mariano Esquillor s/n, 50018 Zaragoza, Spain.
School of Biological Sciences and Engineering, Yachay Tech University, Hacienda San José s/n, San Miguel de Urcuquí 100119, Ecuador.
Sensors (Basel). 2024 Jan 31;24(3):913. doi: 10.3390/s24030913.
Low back pain (LBP) is a common issue that negatively affects a person's quality of life and imposes substantial healthcare expenses. In this study, we introduce the (Back-pain Movement) BackMov test, using inertial motion capture (MoCap) to assess lumbar movement changes in LBP patients. The test includes flexion-extension, rotation, and lateralization movements focused on the lumbar spine. To validate its reproducibility, we conducted a test-retest involving 37 healthy volunteers, yielding results to build a minimal detectable change (MDC) graph map that would allow us to see if changes in certain variables of LBP patients are significant in relation to their recovery. Subsequently, we evaluated its applicability by having 30 LBP patients perform the movement's test before and after treatment (15 received deep oscillation therapy; 15 underwent conventional therapy) and compared the outcomes with a specialist's evaluations. The test-retest results demonstrated high reproducibility, especially in variables such as range of motion, flexion and extension ranges, as well as velocities of lumbar movements, which stand as the more important variables that are correlated with LBP disability, thus changes in them may be important for patient recovery. Among the 30 patients, the specialist's evaluations were confirmed using a low-back-specific Short Form (SF)-36 Physical Functioning scale, and agreement was observed, in which all patients improved their well-being after both treatments. The results from the specialist analysis coincided with changes exceeding MDC values in the expected variables. In conclusion, the BackMov test offers sensitive variables for tracking mobility recovery from LBP, enabling objective assessments of improvement. This test has the potential to enhance decision-making and personalized patient monitoring in LBP management.
下背痛(LBP)是一种常见的问题,会对人的生活质量产生负面影响,并带来大量的医疗保健费用。在这项研究中,我们引入了(Back-pain Movement)BackMov 测试,使用惯性运动捕捉(MoCap)来评估 LBP 患者的腰椎运动变化。该测试包括屈伸、旋转和侧屈运动,重点关注腰椎。为了验证其可重复性,我们对 37 名健康志愿者进行了测试-再测试,得出了建立最小可检测变化(MDC)图的结果,这将使我们能够看到 LBP 患者某些变量的变化是否与其恢复相关具有显著意义。随后,我们通过让 30 名 LBP 患者在治疗前后进行运动测试(15 名接受深部振动治疗;15 名接受常规治疗),并将结果与专家评估进行比较,评估了其适用性。测试-再测试结果显示出高度的可重复性,特别是在运动范围、屈伸范围以及腰椎运动速度等变量方面,这些变量是与 LBP 残疾相关的更重要变量,因此它们的变化可能对患者的恢复很重要。在 30 名患者中,专家评估使用了低背特定的简短表格(SF)-36 身体功能量表进行确认,并观察到了一致性,所有患者在两种治疗后都改善了他们的幸福感。专家分析的结果与预期变量中 MDC 值以上的变化相吻合。总之,BackMov 测试提供了敏感的变量来跟踪 LBP 患者的运动恢复情况,能够对改善情况进行客观评估。该测试有可能增强 LBP 管理中决策制定和个性化患者监测。
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