Abstract
Technologies like sensor and cloud networks are evolving mainly due to their applications and importance. The main mechanism in such networks is the deployment of sensor nodes, collection of data, sending the data to cloud for storage purpose, processing, analyzing, and presenting the results. Nowadays, continuous monitoring of fluctuating vital health signals of a patient or person especially from remote has become essential. It is more important in the pandemic like COVID-19 situation. Hence, there is a need to design, develop, and implement a device to perform such effective and efficient monitoring system. In this paper, we designed and developed a framework for smart health monitoring system (SHMS). In this system, hardware device embedded with various modules like electrocardiogram (ECG), electromyography (EMG), galvanic skin response (GSR), pulse rate, body position, and snore detection sensors are integrated. All these sensed vital signals are read by particle photon (PP) ARM cortex M3 microcontroller and uploaded to PP cloud. From the cloud, the data is exported into .csv file and imported into the developed e-Health web and mobile application.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
