临床医师对Akhbari等人的评注(1)。

K. Zabjek
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引用次数: 0

摘要

Akhbari和他的同事最近发表的这篇文章代表了越来越多的临床研究,这些研究旨在为临床应用生物力学技术来测量体位稳定性提供证据。2-7总的来说,这项工作旨在更好地理解生物力学变量的测量特性,从而深入了解控制姿势稳定性的基本机制。尽管这些生物力学变量已经显示出随着时间推移测量临床变化的希望,但它们通常没有在随机对照试验的背景下进行检查在直立站立的情况下,姿势稳定性通常被定义为神经系统控制重心(COM)相对于支撑基础(BOS)位置的能力传统上,姿势稳定性的生物力学测量是通过测量通过支撑基础(动力学)、身体运动(运动学)和肌肉激活(肌电图)施加的力来实现的。对这些测量的时域和频域特征的分析,为COM与BOS之间的运动以及用于控制这种运动的基本策略提供了有价值的见解将这些生物力学测量与所执行任务的变化、环境背景和个体特征相结合,进一步揭示了神经系统控制姿势稳定性所采用策略的复杂性在这种情况下,我们可以深入了解姿势不稳定的潜在结构和功能决定因素,特别是在存在潜在的矫形、神经肌肉或神经疾病的情况下。然而,进行此类评估的基础设施和运营成本,以及解释生物力学测量所需的专业知识,可能会阻碍它们在大规模、长期临床试验中的应用。最近出现的可获得的生物力学传感器技术为在传统实验室环境之外的各种环境中测量姿势稳定性提供了新的机会。这种新兴技术的例子包括嵌入在主动游戏平台、鞋子和行走面上的力传感器;11-13无线加速度计和惯性测量单元;14和平衡评估平台。这些技术为临床研究人员提供了机会,通过访问曾经只存在于生物力学实验室环境中的信息,来弥合基础研究和转化研究之间的差距。然而,这一新兴临床研究领域的进展只有通过建立生物力学变量的测量特性,并将这些变量整合到长期前瞻性观察和随机对照试验中,才能实现。Akhbari和他的同事们的工作是该领域的几项研究的代表,这些研究已经沿着这个连续体迈出了第一步,为生物力学技术的潜在前景提供了初步证据。
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Clinician's Commentary on Akhbari et al.(1).
The recent article by Akhbari and colleagues1 is representative of a growing body of clinical research aimed at providing evidence to support the clinical uptake of biomechanical techniques that measure postural stability.2–7 Overall, this body of work has sought to better understand the measurement properties of biomechanical variables that provide insight into the fundamental mechanisms that control postural stability. Although these biomechanical variables have shown promise for measuring clinical change over time,1–7 they have not often been examined in the context of randomized controlled trials.8 In the context of upright stance, postural stability is often defined as the ability of the nervous system to control the position of the centre of mass (COM) in relation to the base of support (BOS).9 Biomechanical measurements of postural stability have traditionally been achieved by measuring the forces exerted through the base of support (kinetics), the movement of the body (kinematics), and the activation of muscle (electromyography). Analysis of the time and frequency domain characteristics of these measures has provided valuable insight into the movement of the COM in relation to the BOS and the basic strategies used to control this movement.10 Combining these biomechanical measures with variations in the task performed, the environmental context, and individual characteristics has further revealed the complexity of the strategies that the nervous system adopts to control postural stability.9 In this context, we can gain considerable insight into the underlying structural and functional determinants of postural instability, particularly where there is an underlying orthopaedic, neuromuscular, or neurological condition. However, the infrastructure and operating costs of conducting such assessments and the expertise required to interpret biomechanical measures may prohibit their application in large-scale, long-term clinical trials. The recent emergence of accessible biomechanical sensor technology has provided new opportunities to measure postural stability in a variety of contexts beyond the traditional laboratory setting. Examples of this emerging technology include force sensors embedded in active gaming platforms, shoes, and walking surfaces;11–13 wireless accelerometers and inertial measurement units;14 and balance assessment platforms.1,15 Such technologies offer clinical researchers opportunities to bridge the gap between fundamental and translational research by accessing information once exclusive to the biomechanical laboratory environment. However, advances in this emerging area of clinical research will be achieved only through significant and sustained commitment to establishing the measurement properties of the biomechanical variables and integrating these variables into long-term prospective observational and randomized controlled trials. The work of Akhbari and colleagues1 is representative of several studies in the field that have taken the first step along this continuum, providing initial evidence of the potential promise of biomechanical techniques.
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