DEVELOPMENT OF AN ADVANCED MODEL FOR A REMOTE HEALTH TELEMONITORING SYSTEM FOR BLOOD PRESSURE

With the advancement of wireless technologies, wireless sensor networks and IoT (Internet of Things) can be used to monitor and track the conditions of patients in the healthcare sector.Remote Health Telemonitoring System is one of the components of telemedicine capable of monitoring the vital signs of patients in a remote location using IoT platform.The data collected (vital signs) can help medical practitioners to proffer solution to chronically ill patient from anywhere in the world.Telemonitoring of the vital signs of the elderly and chronically ill patients using IoT plaforms is very crucial in helping to save their lives.The manual medical monitoring done in the Nigerian hospitals has a lot of challenges ranging from faulty instruments, negligence of duty on the part of the nurses left to do this monitoring, absence of doctors on call from their offices etc.This paper makes use of real time readings of the blood pressure.This system consists of the design of a Physical hardware and software.The hardware part deals with the development of a physical model, the construction design, electrical and electronic circuitry.This model has a GUI where the medical practitioner can select whichever readings that will be taken.All this data captured are sent to an IoT platform called Thingspeak which is an online IoT platform.For the Data security, the IoT platforms will make use of Cloudflare to avoid unauthorized access to the data collected.Also the developed model has both the private and public channel that can be used.For data security, the medical practitioner will make use of private channel and the Database used for this model is AWS cloud (Amazon Web server).The medical practitioners can be wherever he or she is, access this data, and proffer health solution to a sick patient.The collected real time health data can be remotely monitored by logging into the IoT platforms using mobile smart devices or a Computer System.For the programming aspect of this work I used C++ and C for the hardware design and for the programming environment I used Arduino IDE.