Development of an IoT-based health monitoring system for Covid-19 patient in quarantine

Mohd Rusdi, Mohamad Nazmi (2021) Development of an IoT-based health monitoring system for Covid-19 patient in quarantine. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

Today in modern living, a slew of new diseases have emerged that complicate health management efforts to maintain a healthy lifestyle. Corona Virus(Covid-19), the newest virus disease occur and now spreading throughout the world and evolving into a new upgraded virus. Covid-19 is highly contagious as a result of physical contact. Doctors and nurses are in short supply and at an increased risk of infection. Unfortunately, patients are rapidly increasing in number due to the current situation. At the moment, as the information and technology revolution continues, IoT-based Health Monitoring Systems are capable of collecting real-time health data and providing feedback to doctors and caregivers. Allowing each individual to acknowledge their health and advising them to seek immediate treatment in order of an emergency may end up saving the individual’s life. Here the project is proposed to help against Covid-19 epidermic by monitoring multiple patients at one time by using Blynk Application to connect with the microcontroller and provide the data reading collected from the Project device. The main sensor of reading the parameter in this system is the blood pressure sensor, Heart rate sensor, and temperature sensor to get the reading of blood pressure, heartbeat, and temperature of the individual respectively. The system will transmit the data received to the IoT server platform with the WiFi transmission by connecting it to an internet connection using ESP8266. This system will be mounted at the individual’s bedside and constantly transmits their health data to the IoT server purpose remotely monitoring provided by the doctors. The outcome of the device provide great analysis of the data reading from each sensor used and detail the normal with abnormal reading to confront easily the crictical patient. The IoT of the system enhance the remotely control that has been implemented using Blynk application for monitor function.

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