研究成果

去脂肪质量(FFM)和 DXA 比较

International Journal of Gerontology 发表的 BIA 研究验证启德电子公司运用的体组成模型，分析去脂肪质量和 DXA 相关系数为 r=.942。

"In summary, the multiple segments FFM estimated by BIA were highly relative to that of determined by DXA for elderly in Taiwan."

New Application of Bioelectrical Impedance Analysis by the Back Propagation Artificial Neural Network Mathematically Predictive Model of Tissue Composition in the Lower Limbs of Elderly People. International Journal of Gerontology 6 (2012) 20-26

类神轻网路模型 FFM 结果和 DXA 比较

Nutrition Journal 发表的 BIA 研究验证启德电子公司运用的类神轻网路模型（BP-ANN），和 DXA 相比去脂肪质量的相关系数为 r2=0.987。

"The results showed a better agreement existed between FFMANN and FFMDXA than that between FFMLR and FFMDXA."

The novel application of artificial neural network on bioelectrical impedance analysis to assess the body composition in elderly. Nutrition Journal 2013, 21:2 1

类神经网路模型结果和 DXA 比较

International Journal of Gerontology 发表的 BIA 研究验证启德电子公司运用的类神经网路体组成模型，下肢段测量结果和 DXA 相比相关系数为 r2=0.962。

"In summary, the greater predictive accuracy and precision made the application of BIA with the BP-ANN mathematical model more feasible for the clinical measurement of FM and FFM in the lower limbs of elderly people."

New Application of Bioelectrical Impedance Analysis by the Back Propagation Artificial Neural Network Mathematically Predictive Model of Tissue Composition in the Lower Limbs of Elderly People. International Journal of Gerontology 6 (2012) 20-26

运动员的全身和肢段 FFM 和 DXA 比较

Scientific Research and Essays 发表的足球员 BIA 研究验证启德电子公司运用的体组成模型，分析去脂肪质量和 DXA 的相关系数为 r=0.95。

"In summary, the greater performance in prediction of segments body composition in our developed predictive equation by BIA measurement has shown the possibility of application for monitoring athlete body composition especially the limb and trunk."

The bioelectrical impedance analysis with newly predictive equations for measuring segments body composition of elite male football players in Taiwan. Scientific Research and Essays Vol. 6 (24), pp. 5131-5136, 23 October 2011. DOI:10.5897/SRE11.041

应用生物阻抗向量分析(BIVA)推测骨骼肌肉效能

PLOS ONE 发表的研究评估 BIVA 是否和肌肉效能有明确相关性，发现握力可藉由 BIVA 项目进行推算，分辨不同的肌肉效能。

"Our study showed that BIVA parameters measured by a standing impedance analyzer and anthropometric variables can predict muscle function as measured by HGS with good performance in healthy Asian adults. Our results may facilitate clinical applications of standing BIVA technology in assessing skeletal muscle function."

"In summary, the greater performance in prediction of segments body composition in our developed predictive equation by BIA measurement has shown the possibility of application for monitoring athlete body composition especially the limb and trunk."

Lee L-W, Lu H-K, Chen Y-Y, Lai C-L, Chu L-P, Hsieh M-C, et al. (2020) Prediction and discrimination of skeletal muscle function by bioelectrical impedance vector analysis using a standing impedance analyzer in healthy Taiwanese adults. PLoS ONE 15(6): e0231604.