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. 2020;1(3):185.
doi: 10.1007/s42979-020-00195-y. Epub 2020 May 26.

Development of Smart Healthcare Monitoring System in IoT Environment

Md Milon Islam  1 , Ashikur Rahaman  1 , Md Rashedul Islam  1
Affiliations

Development of Smart Healthcare Monitoring System in IoT Environment

Md Milon Islam et al. SN Comput Sci. 2020.

Abstract

Healthcare monitoring system in hospitals and many other health centers has experienced significant growth, and portable healthcare monitoring systems with emerging technologies are becoming of great concern to many countries worldwide nowadays. The advent of Internet of Things (IoT) technologies facilitates the progress of healthcare from face-to-face consulting to telemedicine. This paper proposes a smart healthcare system in IoT environment that can monitor a patient's basic health signs as well as the room condition where the patients are now in real-time. In this system, five sensors are used to capture the data from hospital environment named heart beat sensor, body temperature sensor, room temperature sensor, CO sensor, and CO2 sensor. The error percentage of the developed scheme is within a certain limit (< 5%) for each case. The condition of the patients is conveyed via a portal to medical staff, where they can process and analyze the current situation of the patients. The developed prototype is well suited for healthcare monitoring that is proved by the effectiveness of the system.

Keywords: ESP32; Healthcare monitoring system; Internet of things; Sensors.

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Conflict of interest statement

Conflict of interestOn behalf of all authors, the corresponding author states that there is no conflict of interest.

Figures

Fig. 1
Fig. 1
The hardware components for the healthcare monitoring system. a ESP32 b heart beat sensor c body temperature sensor d room temperature sensor e CO sensor f CO2 sensor
Fig. 2
Fig. 2
The overall system architecture of the healthcare monitoring system
Fig. 3
Fig. 3
Implementation details of the proposed system. a Circuit diagram b user prototype
Fig. 4
Fig. 4
Test results of the actual and calculated value. a Heart rate b body temperature c room humidity
Fig. 5
Fig. 5
The error rate of the developed system for each case. a Heart rate b body temperature c room humidity
Fig. 6
Fig. 6
A snapshot of web server for data visualization. a Heart rate b body temperature c room humidity d level of CO e level of CO2
See this image and copyright information in PMC

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