Coma patient’s health monitoring and observatory system using internet of things

Abstract

Once a patient enters the comatose stage, it is really difficult to predict when he/she will be out of it. It may be within days, weeks, or may even take months and years together. Due to this situation, it becomes difficult for the hospital staff to monitor and keep watch over the patient at all times and thus slight body movements and life-like indications or abnormal activities may go unnoticed. To prevent such a situation, the proposed system has a wide range of wearable sensors fitted to the patient’s body. Sensors used are flex sensors, MEMS Accelerometer, heartbeat sensor, SPO2 oximeter sensor, temperature sensor, IR sensor in the form of goggles. These sensors help monitor the patient’s vitals and these data are stored in the cloud server and can be accessed when the need arises through a PC or smart-phone. The parameters are then upon plotted on a graph and hence analysis can be done on it to predict the approximate chances of recovery of the patient.