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Journal of Healthcare Engineering
Volume 2018 (2018), Article ID 1564748, 21 pages
Review Article

Systems and WBANs for Controlling Obesity

1University of Gezira, Wad Madani, Sudan
2Universitat Politècnica de València, Valencia, Spain
3Departamento de Teoría de la Señal, Telemática y Comunicaciones, Universidad de Granada, Granada, Spain

Correspondence should be addressed to Jaime Lloret

Received 20 August 2017; Accepted 3 December 2017; Published 1 February 2018

Academic Editor: Denise Ferebee

Copyright © 2018 Maali Said Mohammed et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


According to World Health Organization (WHO) estimations, one out of five adults worldwide will be obese by 2025. Worldwide obesity has doubled since 1980. In fact, more than 1.9 billion adults (39%) of 18 years and older were overweight and over 600 million (13%) of these were obese in 2014. 42 million children under the age of five were overweight or obese in 2014. Obesity is a top public health problem due to its associated morbidity and mortality. This paper reviews the main techniques to measure the level of obesity and body fat percentage, and explains the complications that can carry to the individual's quality of life, longevity and the significant cost of healthcare systems. Researchers and developers are adapting the existing technology, as intelligent phones or some wearable gadgets to be used for controlling obesity. They include the promoting of healthy eating culture and adopting the physical activity lifestyle. The paper also shows a comprehensive study of the most used mobile applications and Wireless Body Area Networks focused on controlling the obesity and overweight. Finally, this paper proposes an intelligent architecture that takes into account both, physiological and cognitive aspects to reduce the degree of obesity and overweight.