Development of Visceral Fat Estimation Model Based on Bioelectrical Impedance Analysis Method

Abstract

The method of bioelectrical impedance-based visceral fat estimation is in advance of other methods such as CT or MRI viewed from points of cost and safety. However, the method requires complex signal analysis and modeling to realize its high estimation accuracy factoring in individuality. In response to the requirement, the assurance of the feature attributes' variation and the selection of them to develop the estimation model have been proposed in this paper. The assurance of the feature attributes' variation is realized by employing the idea of cardinality as a quantitative evaluation index. The selection of the feature attributes is realized by employing the Akaike information criterion. The experiments were conducted to evaluate the proposed method. The results prove that the estimation model developed by the proposed method provide high estimation accuracy and stability.