Development of a MATLAB-based Predictive System for Human Body Composition using Wenner Method
Authors: 
Analyn N. Yumang, Ericson D. Dimaunahan, Jose B. Lazaro, Jr., Dean Henry S. Guerrero, Christine S. Lapada, Ronnie Ray R. NecesitoAuthors Info & Claims
Pages 229 - 233
Abstract
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.
References
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Fewtrell, J. C. (2006). Measuring body composition.
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H. C. Lukaski, P. E. (810-817). Assesment of fat-free mass using bioelectrical impedance measurements on the human body. Am. J. Clin. Nutr., vol. 41, 1985.
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Heyward, V. (2001). ASEP METHODS RECOMMENDATION: BODY COMPOSITION ASSESSMENT. Journal of Exercise Physiology.
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Murakami, K. (2007). Bioelectrical Impedance Measurement of Subcutaneous Fat Thickness Using Apparent Resistivity
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E. Dimaunahan (2019). Bioelectrical Impedance Analysis for the Prediction of Human Body Composition Using Wenner Algorithm, 2019 IEEE 11th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)
Index Terms
- Development of a MATLAB-based Predictive System for Human Body Composition using Wenner Method
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Published In
September 2020
350 pages
ISBN:9781450377249
DOI:10.1145/3397391
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Association for Computing Machinery
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Published: 15 September 2020
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ICBET 2020
ICBET 2020: 2020 10th International Conference on Biomedical Engineering and Technology
September 15 - 18, 2020
Tokyo, Japan
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