Visceral fat estimation method based on bioelectrical impedance technology

Bioelectrical impedance based visceral fat estimation methods were researched, in order to get a less expensive, lower radiative and more safe method comparing with traditional ones like X-ray CT and MRI. A new visceral fat estimation method was presented, which applied priori knowledge to carry out the complication, followed by the simplification based on Akaike information criteria (AIC). With complicated and diversified signal analysis and modeling, fuzzy logic was used to create multi-linear regression models to achieve high accuracy. Furthermore, more detailed data analysis was done on the training data to judge how to improve the model in the future. Experimental results show that this method has high estimation accuracy and stability.