Abstract
The paper focuses on the functionality and effectiveness of wireless mobile medical devices in tele-biomedical applications with the development of mobile wireless techniques. Medical implementation is a field for supporting the future of wireless networking. A patient who is remotely situated can be treated remotely by communicating their status to caregivers in real-time. The e-healthcare devices were created mainly to observe physiological parameters such as body temperature, level of oxygen saturation, heart rate, amount of blood sugar, blood pressure, etc. With the development of wireless technologies, however, there has been a variety of variations and improvements in e-healthcare systems. Tele-biomedical apps with wireless networks for mobile communications such as telemedicine is a distant medical practice that enables cooperation between distinct people and promotes their collaborative attempts to diagnose or treat illness through IT and telecommunications. Medical servers and databases are remote computers that assist medical personnel and hospitals analyze and monitor vital signs and provide patients with adequate facilities in real time. The tele-biomedical environment is a general word used for the use of mobile phones (handheld devices) and other wireless systems and communication devices to inform users or customers of medical preventive healthcare facilities. The scheme launched applications that can adapt to other illnesses, including elevated BP, diabetes and fever, through biometric devices such as thermometers, glucometers and densitometers to transmit patient data from an Android application based on the user's sensitivity to a social media scheme, such as a software application to monitor children's vaccination coverage.
Publisher
Southwest Jiaotong University
Reference87 articles.
1. CULPEPPER, B.J., DUNG, L. and MOH (2003) Design and Analysis of Hybrid Indirect Transmissions (HIT) for Data Gathering in Wireless Micro Sensor Networks. ACM Mobile Computing and Communications Review, 3 (1), pp. 61-83.
2. VAWDREY, D.K., HALL, E.S., KNUTSON, C.D., and ARCHIBALD, J.K. (2003) A Self-Adapting Healthcare Information Infrastructure Using Mobile Computing Device. In: Proceedings of 5th International Workshop on Enterprise Networking and Computing in Healthcare Industry, Santa Monica, California, June 2003, pp. 91-97.
3. CHU, Y. and GANZ, A. (2004) A mobile teletrauma system using 3G networks. IEEE Transactions on Information Technology in Biomedicine, 8 (4), pp. 450-462. DOI: 10.1109/TITB.2004.837893
4. MALAN, D., FULFORD-JONE, T., WELSH, M., and MOULTON, S. (2004) CodeBlue: An Ad Hoc Sensor Network Infrastructure for Emergency Medical Care. In: Proceedings of the First International Workshop on Wearable and Implantable Body Sensor Networks, London, April 2004, pp. 55-58.
5. TIMMONS, N.F. and SCALON, W.G. (2004) Analysis of the performance of IEEE 802.15.4 for medical sensor body area networking. In: Proceedings of the 1st Annual IEEE Communications Society Conference on Sensor and Ad Hoc Communications and Networks, Santa Clara, California, October 2004. Piscataway, New Jersey: Institute of Electrical and Electronics Engineers. DOI: 10.1109/SAHCN.2004.1381898
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