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176 CHAPTER 7 SMART HEALTHCARE

monitor their health through online systems without visiting the hospital or clinic [4]. This is made
possible due to the convergence of emerging and existing technologies. This is not possible when only
using a single technology.
To enhance the nature of medicinal services, the key commitments of this work are as per the
following:
• Create an outline of a minimal effort and wearable sensor gadget for gathering and remotely
transmitting heart rate and temperature measurements.
• Create a remote well-being observing framework using the IoT.
• Use an Arduino Do It Yourself (DIY) board through which sensor information is measured and sent
to the cloud for storage and advanced examination.
• Use cloud services for plotting graphs as well as providing emergency notifications.
• Develop the web portal to retrieve the data from the cloud.

This Section 7.1 introduces IoT and the importance of IoT in healthcare. Section 7.2 explains other
literature on healthcare monitoring systems. Section 7.3 explains the proposed model and
Section 7.4 demonstrates the implementation of the proposed system. Section 7.5 discusses the sim-
ulation and results from the discussion. The conclusion and future work are described in Section 7.6.

7.2 LITERATURE SURVEY
Pardeshi et al. [5] analyzed the Raspberry-Pi based health monitoring system that uses the IoT and is
able to detect any abnormalities in the patient’s health condition and is able to send a Short Message
Service (SMS) to the person through Global System for Mobile Communication (GSM) technology.
The hardware for the project was implemented, and the output was also verified. However, the main
problem was high-power consumption, which was not suitable for Machine to Machine (M2M) or local
area network connection.
Researchers have proposed a utility model that uncovers a transmission gadget for the transmission
of gathered physical information on blood glucose in light of IoT systems. That gadget included a blood
glucose measurer, a cell phone or a PC, and a background processor [6, 7].
Liu [8] presented an IoT-based electrocardiogram (ECG) observing framework made from a con-
venient remote securing transmitter and a remote receiving processor. The framework incorporated a
hunt mechanization technique to recognize irregular information with the end goal that heart capacity
could be consistently distinguished.
Lijun [9] proposed a nonspecific IoT-based medicinal securing locator that can be utilized to screen
glucose levels.
Chandrasekhar et al. [10] proposed a ZigBee World Wide Interoperability for microwave access
(WiMax) nursery framework. The wearable sensor unit (comprising of a Linear Monolithic 35
(LM35), thermocouple k-type, heartbeat sensor) was worn by the patient and could read and transmit
imperative signs to a compact ZigBee-based collector or a healing facility server. This framework also
included highlights, such as stockpiling of readings in a focal database or access through the web.
A medical caretaker or specialist could screen and recover the information of the patient through the
assistance of website pages. It additionally sent an SMS to the enlisted portable gadget if there was
any issue [11]. This proposed device was straightforward and savvy. It caused negligible impedance with
the patient’s versatility and solace. A noteworthy restriction was the scope of ZigBee correspondence.