The 6th International Electronic Conference on Sensors and Applications 2019
DOI: 10.3390/ecsa-6-06543
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An IoT-Based Smart Framework for a Human Heartbeat Rate Monitoring and Control System

Abstract: This research paper presents the design and implementation of an internet of things (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 the implemented prototype were found to be accur… Show more

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Cited by 21 publications
(9 citation statements)
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“…The Kalman filter is used here to identify objects. Haar characteristics are used to detect the window on pixel intensities and calculate the difference between those sums [8]. After use of Ada Boost algorithms, the sequences generate a noise figure of image.…”
Section: Body Temperature Detection Algorithm In Crowdmentioning
confidence: 99%
“…The Kalman filter is used here to identify objects. Haar characteristics are used to detect the window on pixel intensities and calculate the difference between those sums [8]. After use of Ada Boost algorithms, the sequences generate a noise figure of image.…”
Section: Body Temperature Detection Algorithm In Crowdmentioning
confidence: 99%
“…The body action through data challenging has a considerable influence on the inductive symbol, causing act artefacts, and this method is not suitable for everyday use. Sani Abba and Abubakar M. Garba [15] presented an IoT-based smart framework for monitoring and controlling human heartbeat rates, it was designed to be used on a breadboard with a variety of system components that are met, secured, and tasted. The system's components are mended on a breadboard and housed in a plastic container, with the heart pulse sensor protracted to be decrease onto the user's probing.…”
Section: Background and Related Workmentioning
confidence: 99%
“…Nazir et al [ 3 ] made a critical review of the role of mobile technology in the incorporation of Internet-of-things-based healthcare services in modern-day world. Abba and Garba [ 23 ] proposed a model for human heartbeat monitoring on a breadboard-based hardware. This model could be used for IoT-driven applications to sense the heartbeat remotely.…”
Section: Related Workmentioning
confidence: 99%