Andrews Brian, Shippen James, Armengol Monica, Gibbons Robin, Holderbaum William, Harwin William
Department of Bio-Engineering at the University of Reading, UK; The Nuffield Department of Surgical Sciences, Oxford.
Department of Industrial Design, Coventry University , UK.
Eur J Transl Myol. 2016 Nov 25;26(4):6419. doi: 10.4081/ejtm.2016.6419. eCollection 2016 Sep 15.
FES assisted activities such as standing, walking, cycling and rowing induce forces within the leg bones and have been proposed to reduce osteoporosis in spinal cord injury (SCI). However, details of the applied mechanical stimulus for osteogenesis is often not reported. Typically, comparisons of bone density results are made after costly and time consuming clinical trials. These studies have produced inconsistent results and are subject to sample size variations. Here we propose a design process that may be used to predict the clinical outcome based on biomechanical simulation and mechano-biology. This method may allow candidate therapies to be optimized and quantitatively compared. To illustrate the approach we have used data obtained from a rower with complete paraplegia using the RowStim (III) system.
功能性电刺激辅助的活动,如站立、行走、骑自行车和划船,会在腿部骨骼中产生力量,并被认为可以减轻脊髓损伤(SCI)患者的骨质疏松。然而,关于用于成骨的机械刺激的细节通常并未报道。通常,骨密度结果的比较是在进行了昂贵且耗时的临床试验之后进行的。这些研究产生了不一致的结果,并且受到样本量变化的影响。在此,我们提出一种设计流程,可用于基于生物力学模拟和机械生物学来预测临床结果。该方法可以优化候选疗法并进行定量比较。为了说明该方法,我们使用了通过RowStim(III)系统从一名完全截瘫的划船运动员身上获得的数据。