Title: Real-time healthcare monitoring system through haversine distance calculation-based global positioning system

Authors: Leo John Baptist; Linesh Raja; Suresh Shanmugasundaram

Addresses: Amity Institute of Information Technology, Amity University, Jaipur, Rajasthan, India ' Department of Computer Applications, Manipal University Jaipur, Rajasthan, India ' Faculty of Engineering and Technology, Botho University, Gaborone, Botswana

Abstract: In the present world, new technologies are highly-developed which drastically changes the conventional tasks of medical and the healthcare systems. Evolving mobile health (m-health) systems belong to these technologies with advanced data communication, artificial intelligence, deep learning, big data, cloud computing, and other machine learning approaches. Data collected using sensors are sent to the local databases via cellular networks which are the stored in the cloud. Data residing in the cloud or medical centres are used for analysis. Machine learning approaches are utilised for predicting the disease appropriately and for classification purpose. This research paper details the m-health systems, their framework with GPS assistance using machine learning. Moreover, this model can save the human life for some time as the ambulance location is tracked using GPS. Heartbeat rate and temperature of patient are sensed and the information is sent to the hospital or to the mobile of the doctor.

Keywords: global positioning system; GPS; healthcare; longitude; latitude; m-health.

DOI: 10.1504/IJMEI.2024.136960

International Journal of Medical Engineering and Informatics, 2024 Vol.16 No.2, pp.115 - 125

Received: 06 Sep 2021
Accepted: 04 Dec 2021
Published online: 01 Mar 2024 *

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