研究成果

去脂肪質量 (FFM) 和 DXA 比較

International Journal of Gerontology 發表的 BIA研究驗證啟德電子公司運用的體組成模型，分析去脂肪質量和 DXA 相關係數為 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

類神輕網路模型 FFM 結果和 DXA 比較

Nutrition Journal 發表的 BIA 研究驗證啟德電子公司運用的類神輕網路模型 (BP-ANN),和DXA 相比去脂肪質量的相關係數為 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

類神經網路模型結果和 DXA 比較

International Journal of Gerontology 發表的 BIA研究驗證啟德電子公司運用的類神經網路體組成模型，下肢段測量結果和 DXA 相比相關係數為 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

運動員的全身和肢段 FFM 和 DXA 比較

Scientific Research and Essays 發表的足球員 BIA研究驗證啟德電子公司運用的體組成模型，分析去脂肪質量和 DXA 的相關係數為 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

應用生物阻抗向量分析 (BIVA) 推測骨骼肌肉效能

PLOS ONE發表的研究評估BIVA是否和肌肉效能有明確相關性，發現握力可藉由BIVA項目進行推算，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.