Internet of Things (IoT) Based Brain Monitor using Electroencephalogram (EEG).

Abstract

In this work, a simulation using Electroencephalpgram(EEG) and other components were used to monitor the functionality of human brain and the consistent behavior of the signal when passed through the brain. The components used include a electrode as a probe that is placed at the head of the person, when powered on will scan through the brain to give different array of diagrams to demonstrate the functionalities of the brain. The EEG signal when passed checks the behavior of brain and sends the results to the Medical practitioners via SMS message. This results will be used to analysis the present happenings around the patient from the previous report, so as to determine the next possible solution or prescription that can be administered to the patient through the medical practitioner. The process will require a better power to avoid fluctuations of the reading, that will enable a better functioning of the system. In the course of the process, it has been observed that results obtained from EEG gives accurate and dependable readings. These readings when properly analysed will handle any challenge associated to the patient thereby obtaining a fast and better way for patients to be attended to via Internet of Things. The threshold given in such a system will less compared to when a patient is attended to physically after lots of travel to the diagnosis center and that can trigger different issues which may not be appropriate.