IOT BASED HEALTHCARE SYSTEM FOR SIGNAL MONITORING USING CLOUD TECHNOLOGY

To provide economic telemecine to the patients living in the interior part of the globe is the need today. So as to serve such patients efficiently, a low power, low cost, highly portable wearable wireless telemedicine system may be a possible solution. In this paper, a cloud-based physiological signal monitoring system implemented for continuous cardiac monitoring is presented. The system consists of an ECG sensor Module, one wire digital temperature sensor, an ultra low power MSP432 MCU and IOT Module. The system presented in this paper acquires body temperature by one wire digital thermometer DS18B20 without any extra ADC hardware. A power efficient 3-lead ECG sensor module AD8232 captures ECG and hence measures heart rate. The temperature value and ECG signal acquired from respective sensors are processed by an ultra low power high speed cortex core MSP432P401R processor/controller. In This paper it is tried to transmit important as well as an essential physiological signals of the patient over the globe using cloud technology. The temperature and the ECG signals are transmitted on to the cloud with the help of ESP 8266 Node MCU. The signals at transmitting and receiving end are compared and analyzed. This system proposed in this paper seems to be an efficient solution for wireless patient monitoring using cloud technology which is distributed data processing in which some scalable information resources and capacities are provided as a service to multiple external customers through Internet technology. Keywords—telemetry; EC Gsensor; healthcare; Instrumentation; MSP432 processor; node MCU; IOT Internet of things