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Body Segment Inertial Parameters of elite swimmers Using DXA and indirect Methods

机译:使用DXA和间接方法的精英游泳者身体节段惯性参数

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摘要

As accurate body segment inertial parameters (BSIPs) are difficult to obtain in motion analysis, this study computed individual BSIPs from DXA scan images. Therefore, by co-registering areal density data with DXA grayscale image, the relationship between pixel color gradient and the mass within the pixel area could be established. Thus, one can calculate BSIPs, including segment mass, center of mass (COM) and moment of inertia about the sagittal axis (Ixx). This technique calculated whole body mass very accurately (%RMSE of < 1.5%) relatively to results of the generic DXA scanner software. The BSIPs of elite male and female swimmers, and young adult Caucasian males (n = 28), were computed using this DXA method and 5 other common indirect estimation methods. A 3D surface scan of each subject enabled mapping of key anthropometric variables required for the 5 indirect estimation methods. Mass, COM and Ixx were calculated for seven body segments (head, trunk, head + trunk, upper arm, forearm, thigh and shank). Between-group comparisons of BSIPs revealed that elite female swimmers had the lowest segment masses of the three groups (p < 0.05). Elite male swimmers recorded the greatest inertial parameters of the trunk and upper arms (p < 0.05). Using the DXA method as the criterion, the five indirect methods produced errors greater than 10% for at least one BSIP in all three populations. Therefore, caution is required when computing BSIPs for elite swimmers via these indirect methods, DXA accurately estimated BSIPs in the frontal plane.Key Points class="unordered" style="list-style-type:disc">Elite swimmers have significantly different body segment inertial parameters than young adult Caucasian males.The errors computed from indirect BSIP estimation methods are large regardless whether applied to elite swimmers or young adult Caucasian males.No indirect estimation method consistently performed best.
机译:由于在运动分析中难以获得准确的人体节段惯性参数(BSIP),因此本研究从DXA扫描图像中计算出了各个BSIP。因此,通过将面密度数据与DXA灰度图像共同注册,可以建立像素颜色梯度和像素区域内质量之间的关系。因此,可以计算BSIP,包括段质量,质心(COM)和绕矢状轴(Ixx)的惯性矩。相对于通用DXA扫描仪软件的结果,该技术可以非常准确地计算出全身质量(%RMSE <1.5%)。使用此DXA方法和其他5种常见的间接估算方法,计算了男女精英游泳者和成年高加索男性(n = 28)的BSIP。每个对象的3D表面扫描可以映射5种间接估算方法所需的关键人体测量学变量。计算了七个身体部位(头部,躯干,头部+躯干,上臂,前臂,大腿和小腿)的质量,COM和Ixx。 BSIPs的组间比较显示,精英女性游泳者的三部分段质量最低(p <0.05)。优秀的男性游泳者记录了躯干和上臂的最大惯性参数(p <0.05)。使用DXA方法作为标准,在所有三个人群中,至少有一个BSIP,这五种间接方法产生的误差大于10%。因此,在通过间接方法为精英游泳者计算BSIP时,DXA准确估算了额叶中的BSIP时需要谨慎。要点 class =“ unordered” style =“ list-style-type:disc”> <!- list-behavior = unordered prefix-word = mark-type = disc max-label-size = 0-> 精英游泳者的身体分段惯性参数与年轻的成年男性明显不同。 不管是将其应用于精英游泳者还是年轻的成年男性,通过间接BSIP估计方法计算出的误差都很大。 没有一种间接估计方法始终表现最佳。

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