Remote Health Monitoring using IoT and Edge Computing

The Healthcare sector has significantly developed a lot. All Nations started giving more importance to the medical field with the appearance of the new Covid19. But, some countries have been struggling with poor infrastructure in the form of insufficient medical equipment and a shortage of manpower in the medical stream. In such a situation, Remote health monitoring will lighten the burden and ease the process. Currently, smart healthcare is a combination of IoT and cloud architecture. The IoT sensors keep track of patients' health and provide clinically relevant data, which can be used for further processing. If we send all of the raw data generated by the sensors to the cloud for bulk data processing and analysis to make real-time decisions. It would impose several risks such as latency issues, bandwidth congestion, network reliability, high storage cost, and security-related issues which can negatively impact the healthcare industry on whole. To overcome the abovementioned issues, we offer “Edge Computing, A new emerging technology that allows data processing to be done closer to the data generating device”. Our main aim is to strengthen the existing system. In this paper, the proposed system will continuously collect three main vital parameters from patients in real-time and process the collected data both on the cloud and edge architecture to compare and determine which technology is best suited for time-sensitive applications.