Validation of multiple frequency bioimpedance analyzer using biological phantom

Quantification of internal body composition such as fat mass and body fluid volume recently relies on expensive and complex modalities. The aim of this study is to validate the ability of a multiple frequency bioimpedance analyzer (MFBIA) to estimate the change of internal fat and fluid content in a phantom model. Biological phantom was structured using fresh cucumbers filled with mixture of different percentages of oil and saline fluid seeds being removed and. Surface impedance was measured in four frequencies using commercial and designed MFBIA. The correlation between internal composition and impedance was evaluated using linear regression model. The regression between impedance obtained in different frequencies and both for fat mass and saline fluid ranges from 0.94 and 0.99 for the commercial and the designed MFBIA respectively. The main achievement of this study is that a MFBIA can detect changes in fat mass and saline fluid contents within a biological phantom.