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Thirty percent of the mortality around the globe results from cardiovascular diseases (CVD) according to statistical reports of the World Health Organization. About 17.50 million people in the world die from the heart and cerebral strokes. Also, it is predicted that about 20 million persons will die from heart diseases in 2015. More than 246 million persons throughout the world suffer from diabetes, and the figure is expected to reach 380 million people in 2025 by the population growth (Eberle, 2011) . According to the statistical reports of the USA, it is expected that the population of senior citizens older than 65 years will double by 2020, and it will triple by 2050 (Chen et al., 2011) . As a result, an increase in the age of the populations in developed countries and an increase in health care costs has urged introducing a technological progress in the current methods of health care. Regardless the above mentioned, we have found out that in the current years inevitability of the electronic health for the remote health control through wireless networks and small low-power electronic systems has led to a significant development of the wireless body area networks (WBAN).
Primary applied programs of the wireless body area network initially emerged in the health and treatment area. In a way, there is a need for continuous and long term supervision on several diseases like high blood pressure, diabetes, and so on. In fact, a WBAN allows continuous supervision on physiological parameters of the patients’ and lets the patient perform his/her daily activities freely and without being hospitalized for a long term. Therefore, the physician may have better control on the patient's information in such a long run. The patient's data should be sent in real time in order to help the physician to precisely diagnose the patient's problems. Furthermore, it helps the elderly to manage their daily life and medical conditions more appropriately (Wolf, 2007). As well, combination of agent features presented in Chen et al. (2011) and sensor networks in WBAN can be helpful in decision making for physicians.
The Wireless body area network entails some cheap, small, and noninvasive sensors with low voltage and computational power, and limited energy capacitors which allow a continuous supervision of the human body functions and its environment (Vallejos de Schatz et al., 2012).
Although the WBAN is typically applied in medicine, it has nonmedical applications, as well. Different applications of WBAN can be enlisted as follows:
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Supervising the health and physical fitness remotely;
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Military & Sport Trainings;
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Interactive games and entertainments;
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Secure Identification: This applied program includes the restoration of behavioral and mental biometric plans like the face status, finger printing, and iris diagnosis;
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Transferable audiovisual systems like microphones and MP3 players;
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Monitoring and automatic control of the physical and chemical parameters are necessary to optimize a bioprocess.
The emergence of the wireless body area network has a great potentiality in causing revolution in the future remote health technologies. Although this technology has useful effects on human quality of life, we are still encountering numerous challenges in this regard. A significant decline in power consumption is considered as one of such challenges. Indeed there has been an endeavor to minimize the battery energy in order to avoid additional costs resultant from the recharge replacement.