Mjøsund Hanne Leirbekk, Boyle Eleanor, Kjaer Per, Mieritz Rune Mygind, Skallgård Tue, Kent Peter
Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark.
Dalla Lana School of Public Health, University of Toronto, Toronto, Canada.
BMC Musculoskelet Disord. 2017 Mar 21;18(1):124. doi: 10.1186/s12891-017-1489-1.
Wireless, wearable, inertial motion sensor technology introduces new possibilities for monitoring spinal motion and pain in people during their daily activities of work, rest and play. There are many types of these wireless devices currently available but the precision in measurement and the magnitude of measurement error from such devices is often unknown. This study investigated the concurrent validity of one inertial motion sensor system (ViMove) for its ability to measure lumbar inclination motion, compared with the Vicon motion capture system.
To mimic the variability of movement patterns in a clinical population, a sample of 34 people were included - 18 with low back pain and 16 without low back pain. ViMove sensors were attached to each participant's skin at spinal levels T12 and S2, and Vicon surface markers were attached to the ViMove sensors. Three repetitions of end-range flexion inclination, extension inclination and lateral flexion inclination to both sides while standing were measured by both systems concurrently with short rest periods in between. Measurement agreement through the whole movement range was analysed using a multilevel mixed-effects regression model to calculate the root mean squared errors and the limits of agreement were calculated using the Bland Altman method.
We calculated root mean squared errors (standard deviation) of 1.82° (±1.00°) in flexion inclination, 0.71° (±0.34°) in extension inclination, 0.77° (±0.24°) in right lateral flexion inclination and 0.98° (±0.69°) in left lateral flexion inclination. 95% limits of agreement ranged between -3.86° and 4.69° in flexion inclination, -2.15° and 1.91° in extension inclination, -2.37° and 2.05° in right lateral flexion inclination and -3.11° and 2.96° in left lateral flexion inclination.
We found a clinically acceptable level of agreement between these two methods for measuring standing lumbar inclination motion in these two cardinal movement planes. Further research should investigate the ViMove system's ability to measure lumbar motion in more complex 3D functional movements and to measure changes of movement patterns related to treatment effects.
无线、可穿戴的惯性运动传感器技术为在人们日常工作、休息和娱乐活动中监测脊柱运动和疼痛带来了新的可能性。目前有多种此类无线设备,但这些设备的测量精度和测量误差大小往往未知。本研究调查了一种惯性运动传感器系统(ViMove)与Vicon运动捕捉系统相比,测量腰椎倾斜运动的同时效度。
为模拟临床人群运动模式的变异性,纳入了34人的样本——18名患有下腰痛,16名没有下腰痛。将ViMove传感器贴于每个参与者T12和S2脊柱水平的皮肤上,并将Vicon表面标记物贴于ViMove传感器上。两个系统同时测量站立时向两侧进行的终末范围前屈倾斜、后伸倾斜和侧屈倾斜各三次,中间有短暂休息时间。使用多级混合效应回归模型分析整个运动范围内的测量一致性,以计算均方根误差,并使用Bland Altman方法计算一致性界限。
我们计算出前屈倾斜的均方根误差(标准差)为1.82°(±1.00°),后伸倾斜为0.71°(±0.34°),右侧侧屈倾斜为0.77°(±0.24°),左侧侧屈倾斜为0.98°(±0.69°)。95%一致性界限在前屈倾斜时为-3.86°至4.69°,后伸倾斜时为-2.15°至1.91°,右侧侧屈倾斜时为-2.37°至2.05°,左侧侧屈倾斜时为-3.11°至2.96°。
我们发现这两种测量站立时腰椎在这两个主要运动平面倾斜运动的方法之间具有临床可接受的一致性水平。进一步的研究应调查ViMove系统在更复杂的三维功能运动中测量腰椎运动以及测量与治疗效果相关的运动模式变化的能力。