Department of Biomechanics, Division of Biomechanics, University of Nebraska Omaha, Omaha, NE, United States.
Front Public Health. 2022 Jul 11;10:898161. doi: 10.3389/fpubh.2022.898161. eCollection 2022.
Targeted interventions to prevent slip-related falls may be informed by specific kinematic factors measured during the reactive response that accurately discriminate recoveries from falls. But reactive responses to diverse slipping conditions during unconstrained simultaneous bilateral slips, which are closely related to real-world slips, are currently unknown. It is challenging to identify these critical kinematic factors due to the wide variety of upper and lower body postural deviations that occur following the slip, which affect stability in both the sagittal and frontal planes. To explore the utility of kinematic measurements from each vertical plane to discriminate slip-related falls from recoveries, we compared the accuracy of four Linear Discriminant Analysis models informed by predetermined sagittal or frontal plane measurements from the lower body (feet velocities relative to the center of mass) or upper body (angular momentum of trunk and arms) during reactive responses after slip initiation. Unconstrained bilateral slips during over-ground walking were repeatedly administered using a wearable device to 10 younger (24.7 ± 3.2 years) and 10 older (72.4 ± 3.9 years) adults while whole-body kinematics were measured using motion capture. Falls ( = 20) and recoveries ( = 40) were classified by thresholding the dynamic tension forces measured in an overhead harness support system and verified through video observation. Frontal plane measurements of the peak feet velocities relative to the center of mass provided the best classification (classification accuracy = 73.3%), followed by sagittal plane measurements (classification accuracy = 68.3%). Measurements from the lower body resulted in higher accuracy models than those from the upper body, but the accuracy of all models was generally low compared to the null accuracy of 66.7% (i.e., predicting all trials as recoveries). Future work should investigate novel models that include potential interactions between kinematic factors. The performance of lower limb kinematics in the frontal plane in classifying slip-related falls demonstrates the importance of administering unconstrained slips and measuring kinematics outside the sagittal plane.
针对与滑倒相关的跌倒,目标干预措施可以通过反应性响应期间测量的特定运动学因素来提供信息,这些因素可以准确区分恢复与跌倒。但是,对于非约束性双侧同时滑倒期间的各种滑倒情况的反应性响应,目前尚不清楚。由于滑倒后发生的上半身和下半身姿势偏差种类繁多,影响矢状面和额状面的稳定性,因此很难识别这些关键运动学因素。为了探讨从每个垂直平面的运动学测量值来区分与滑倒相关的跌倒和恢复的能力,我们比较了四个线性判别分析模型的准确性,这些模型是根据下肢(相对于质心的脚速度)或上身(躯干和手臂的角动量)在反应性响应期间从预定矢状面或额状面测量值来预测的。使用可穿戴设备在 10 名年轻(24.7 ± 3.2 岁)和 10 名年长(72.4 ± 3.9 岁)成人在地面行走时反复进行非约束性双侧滑倒,同时使用运动捕捉测量全身运动学。通过悬吊带支撑系统测量的动态张力来分类跌倒( = 20)和恢复( = 40),并通过视频观察进行验证。相对于质心的最大脚速度的额状面测量值提供了最佳的分类(分类准确率 = 73.3%),其次是矢状面测量值(分类准确率 = 68.3%)。来自下半身的测量值比来自上半身的测量值产生了更准确的模型,但与 66.7%的空值准确率(即预测所有试验为恢复)相比,所有模型的准确率通常都较低。未来的工作应该研究包括运动学因素之间潜在相互作用的新型模型。在分类与滑倒相关的跌倒时,前平面下肢运动学的性能表明了进行非约束性滑倒和测量矢状面以外运动学的重要性。