Smart Medical Healthcare of Internet of Medical Things (IOMT): Application of Non-Contact Sensing

Abstract

With the advent of awareness toward quality of life by people has kindled a widespread investment and concern in science community for a better biomedical product and new technologies. Biomedical health is no longer limited to pharmaceutical drugs but monitoring of daily body vitals for prevention and improved diagnostics is getting a lot of attentions. In this paper, we are going to use wireless body area network technology (WBANT) for monitoring a patient's condition in a given system. With emerging practical use of WBANT, scientists have proposed many innovative ways for health and body vitals monitoring such as channel state information (CSI) and receiving signal strength indication (RSSI). CSI can characterize the multipath propagation of signal to some extent in comparison to RSSI method. So, we propose a system design for identification of narcolepsy disease combining wireless communication technology and computer science analytics. This system setup continuously transmits a particular frequency signal and the receiver obtains the reflected signal containing the patient's information in a given environment with changing body postures in real time. The various path gain data collected is used to extract and analyze characteristics of the patient position characterizing the disease of narcolepsy.