An intelligent technique for telemedicine using dynamic Wireless sensor network

Abstract

Telemedicine is one of the fastest growing technological newlinetrends in the healthcare world, as it provides a safer way for healthcare newlineprofessionals to diagnose and treat the remote patients. The newlineadvancements in telemedicine can enhance the quality of life, while newlineimproving the overall health status of the patients. The roots of newlinetelemedicine depend on the telecommunication and information newlinetechnology. As these technologies flourish, the proliferation of newlinetelemedicine is evident. newlineThe major merit of telemedicine is that the healthcare newlineprofessionals are immediately alarmed, whenever an abnormality is newlineobserved on the remote patients. As the patients are immediately treated newlineby the healthcare professionals, the lifetime of the patient can be newlineenhanced. The advent of telemedicine is quite a revolution in the newlinemedical science. newlineUnderstanding the potential of telemedicine, this research newlinesystem aims to present four different telemedicine applications for the newlinedeadly and the most common ailment of this century, which is Diabetes newlineMellitus . Diabetes is so common these days and it provides a good newlineplatform to other diseases too. Hence, it is an absolute necessity to newlinedetect diabetes at the earliest to avoid serious illnesses. newlineThis research system is segregated into four phases, where newlineeach phase presents a telemedicine application for diabetes mellitus. The newlinefirst phase of research presents a telemedicine application with the help newlinevi newlineof sensor network for Electrocardiogram (ECG) signal analysis to newlineimprove diabetes healthcare. newlineThe second phase of the research presents an intelligent newlinesystem for the prediction and assistance for diabetic patients through newlinetelemedicine. This system employs neural network feed forward newlineprediction model in association with Back Propagation algorithm. newlinePaediatric diabetes with fall detection system is presented in third newlineresearch phase. This system tracks the insulin level and the occurrence newlineof fall through glucometer simulated by potentiometer and fall sensor newlinerespectively. newlineThe final phase of this system proposes a t