This paper presents the design and implementation of an internet of thing (IoT) based smart framework for human heartbeat rate monitoring and control system. A comprehensive study of various techniques and technologies that are used in controlling the heartbeat rate is explored. The proposed system was designed and implemented on a breadboard with the various system components that are assembled, connected and tasted. Experimental results obtained from implemented prototype were found to be accurate as the system was able to sense and read the heartbeat rate of its user and transmits the sensed data through the internet. The system components were soldered on Vero board and cased inside a plastic container with the heart pulse sensor stretched so as to be clipped on the finger tip of the system user. From the results obtained, it was found that the resting heartbeat rate of children below the age of 17 is between 65-115 BMP and the resting heartbeat rate of an adult between the age 17-60 is 60-100 BPM. In addition, the resting heartbeat rate of old people who are sixty years old and above, their heartbeat rate is between 65-120 BPM respectively. These findings are in agreement with the state-of-the-art in the medical field. Furthermore, this paper presents an approach that is flexible, reliable, and confidential for heart beat rate monitoring and control system using sensor network and IoT technology that can be deployed to the medical field to assist the medical doctors in doing their work.
Previous Article in event
Rapid, wide-range and low-cost determination of formaldehyde based on porous silica gel plate by digital image colorimetryPrevious Article in session
Next Article in event
Methanol, Ethanol and Glycerol oxidation study by graphite-epoxy composite electrodes with graphene-anchored nickel oxyhydroxide nanoparticles.Next Article in session
An IoT-Based Smart Framework for Human Heartbeat Rate Monitoring and Control System
Published: 14 November 2019 by MDPI in 6th International Electronic Conference on Sensors and Applications session Sensor Networks
Keywords: Sensor network; Internet of Things (IoT); Heart pulse sensor; Heartbeat rate; Monitoring and Control; Smart Framework.