Mathematical models for fat free mass measurement based on bioelectrical impedance analysis

Date

2019

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Fahim, T.A.
Anower, M.S.

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Conference paper

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1st International Conference on Advances in Science, Engineering and Robotics Technology 2019, ICASERT 2019, 2019, iss.8934477, pp.1-5

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1st International Conference on Advances in Science, Engineering and Robotics Technology, ICASERT 2019 (3 May 2019 - 5 May 2019 : Dhaka)

Abstract

This paper shows new mathematical models for fat free mass (FFM) measurements for both male and female people through bioelectrical impedance analysis. In this research 1300 male and 1350 female (total 2650) data have been considered. Bioelectrical impedance at 100 kHz along with physical parameters like age, height, body mass index (BMI) have been used for the model development. The proposed models have been analyzed statistically. In the statistical analysis, correlation (Pearson) coefficients, 95% limit of agreement (LOA), absolute errors, bias, root mean square error (RMSE) have been used. The results show that the correlation (Pearson) coefficients are 0.998 (p<0.001) for male and 0.997 (p<0.001) for female people which indicate very good matching with actual data. The intervals of LOA are only -1.90 kg to 1.82 kg and -1.61 kg to 1.56 kg for male and female data respectively and most of errors found by proposed models remain within the limit of agreement. The absolute errors (mean ± Standard Deviation) are (0.81 ± 0.45) kg and (0.69 ± 0.44) kg for male and female data respectively whereas the bias are -0.03 kg for both male and female population only. The RMSE are also very low and which are 0.91 kg for male and 0.79 kg for female people. Comparing the results of this research with existing models it is seen that proposed mathematical models give better results and hence the proposed models can be used for FFM measurement.

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Copyright 2019 IEEE

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