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1 *Corresponding author: karthi.karthis@gmail.com

Shariq Aziz Butt1*, Muhammad Waqas Anjum2, Syed Areeb Hassan3, Arindam Garai4 and Edeh Michael Onyema5

1 The University of Lahore, Lahore, Pakistan

2NCBA&E, Lahore, Pakistan

3 The Superior University, Lahore, Pakistan

4 Dept. of Mathematics, Sonarpur Mahavidyalaya, Kolkata, India

5 Dept. of Mathematics and Computer Science, Coal City University, Enugu, Nigeria

Abstract

The Internet of Things (IoT) has amalgam with many fields. One of these is the eHealth monitoring of patients. mHealth monitoring is the most prominent subdomain of eHealth. In mHealth, IoT enables the merging of various devices, including wearables (watch and sensors) and holding (smart mobile phone) devices. Therefore, the application development of mHealth is a penetrated domain in the research community. Different research work exists to develop mHealth applications to monitor different diseases either remotely or physically. Mostly the mHealth applications work with the context of the patient that includes the type of disease and observing the environment. The development of these applications faces several issues, such as security, smartness, decision making, size of the application, and timely actions. This study presents the issue with the health sector and with fuzzy logic while using for health enhancements. Moreover, this work highlights key factors to be addressed in mHealth such as mobilityawareness, location-based medication, and the security of eHealth’s data, distance, and measurement. These all features are very imperative for the health application to improve wellness.

Keywords :Smart health, mobility of patient, remote monitoring, fuzzy concepts for health

Due to the growing of the Internet of Things (IoT), it has created revolutionary inventions and modifications in the health section. It makes healthy smart health in terms of eHealth and mHealth. Due to the technological encroachments the health professional adopts the technology very vastly for monitoring and improve the patients’ health. The internet technology made the patient’s life very easy to monitor and treat. In mHealth and eHealth, IoT enables the merging of various devices, including wearables (watch and sensors) and holding (smart mobile phone) devices. Therefore, the application development of mHealth is a penetrated domain in the research community. Technology also improves health for special kinds of patients who are known as ambulatory patients. These patients need monitoring at their location remotely. It becomes possible with the mHealth application that supports the medical professionals to monitor, treat patients, and send the medication in the case of any abnormality occurrence. It helps the patients to receive tele-medication services from doctors at their location in case of any emergency. But on the other hand instead of all these facilities and supports of internet technology to the health domain still many challenges need to be addressed to enhance the health sector. These challenges include the Emergency Support, Issue with the Chronic Disease Monitoring, Issue with the Tele-Medication, Issue with the Tele-Medication, Mobility of Doctor, Data Storage Issue, Application User Interface issue, and Security Threats. In this chapter, we discuss the health sector, improvements in health, issues with the health domain, and fuzzy-based security solutions to overcome the security issues.