Development of a MATLAB-based Predictive System for Human Body Composition using Wenner Method

The project uses Wenner Method for a Matlab-based prediction of BIA or Bioelectrical Impedance for prediction of Human Body Composition and determining possible health conditions. In this study, Wenner Method is used to obtain the body fat percentage with the use of total body water (TBW) and fat free mass (FFM) of a human body. Mainly the study designs a device that will predict the human body fat percentage integrated with a MATLAB application for processing. System uses a non-invasive technique to using the BIA device then feeding the output to a MATLAB program for prediction of the human body fat composition. The study poses a possible alternative in the common medical procedures in determining body fat composition.

[1]  M. Elia,et al.  Bioelectrical impedance analysis--part I: review of principles and methods. , 2004, Clinical nutrition.

[2]  J. Wells,et al.  Measuring body composition , 2005, Archives of Disease in Childhood.

[3]  V. Heyward.  ASEP METHODS RECOMMENDATION: BODY COMPOSITION ASSESSMENT , 2001 .

[4]  Ericson D. Dimaunahan,et al.  Bioelectrical Impedance Analysis for the Prediction of Human Body Composition Using Wenner Algorithm , 2019, 2019 IEEE 11th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management ( HNICEM ).

[5]  T. Uchiyama,et al.  Bioelectrical Impedance Measurement of Subcutaneous Fat Thickness Using Apparent Resistivity , 2007, 2007 6th International Special Topic Conference on Information Technology Applications in Biomedicine.

[6]  H C Lukaski,et al.  Assessment of fat-free mass using bioelectrical impedance measurements of the human body. , 1985, The American journal of clinical nutrition.

[7]  L C Ward,et al.  Bioelectrical Impedance Analysis For Measurement of Body Fluid Volumes: A Review , 1992, Journal of clinical engineering.