An Efficient Health Monitoring Method Using Fuzzy Inference System via Cloud

A Thilagavathy; S Meenakshi; V Vijayabhaskar; M Dilli Babu; S Kumari; M A Gunavathie

doi:10.17485/IJST/v14i25.1622

Article

An Efficient Health Monitoring Method Using Fuzzy Inference System via Cloud

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Indian Journal of Science and Technology

DOI: 10.17485/IJST/v14i25.1622

Year: 2021, Volume: 14, Issue: 25, Pages: 2145-2151

Original Article

An Efficient Health Monitoring Method Using Fuzzy Inference System via Cloud

A Thilagavathy^1*, S Meenakshi², V Vijayabhaskar², M Dilli Babu³, S Kumari³, M A Gunavathie³

¹Department of Computer Science & Engineering, R.M.K Engineering College, India
²Department of Science and Humanities, R.M.K Engineering College, India
³Department of IT, Panimalar Engineering College, Poonamallee, Chennai, Tamil Nadu, India

*Corresponding Author
Email: [email protected]

Received Date:08 September 2020, Accepted Date:14 July 2021, Published Date:27 July 2021

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

Background: In the midst of invention of sensor mechanization, massive statistics analytics had turn out to be an innovative prototype for quick information processing. Real-time analytics are required for getting access to the information and its processing. Large populace interest in fitness care led to the improvement of health monitoring systems. Methods: This study targets toward the improvement of a cloud based fitness health care system. Here Wireless Body Area Networks (WBAN) is used to blend the information to the server that includes STORM. The analytics are performed on the received physiological data. The non-critical information is ousted and the essential facts are saved and a notification is sent to the medical doctor. Findings: Thus, actual time analytics alongside with the cloud aid to improve the effectiveness of the proposed healthcare device by providing immediate clinical assistance to the users. A sensible selection making device for approximate reasoning that can manage the uncertainty of imperative threat for human fitness with the usage of fuzzy logic is carried out for discovering the health related problems. Novelty: In this study, an analysis to monitor the fitness hazard which is associated to Blood Pressure, Pulse rate and Kidney function is proposed. Levels of blood stress are analyzed with kidney characteristic by using Glomerular Filtration Rate (GFR). Under this concept, fuzzy logic system is proposed to signify the parameters which can also reason the danger for human fitness and evaluation via the usage of rule base component.

Keywords: Wireless Body Area Networks; health care system; fuzzy logic

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Copyright

© 2021 Thilagavathy et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Published By Indian Society for Education and Environment (iSee)