IoT-Based remote health monitoring system for infected people

Abstract

A great number of positive tested covid-19 deaths due to illness related to complications none monitored. Regular detection of complications can help avoid many cases of death without having the patient’s health status. Due to many factors like illness from chronic diseases, lack of knowledge, and insufficiency information to the pandemic, monitoring covid-19 cases are still a huge concern and more prevalent in several countries. This thesis research project was aimed at designing and prototyping a system, intended to monitor the vital signs and abnormal behavior of positively tested for covid-19 in the home. It was providing a rather easy way to care for or to monitor the infected people’s health status and also provides vital information for future use. A survey was conducted to investigate the capabilities of the existing systems, identify the challenges with the systems, and find out the awareness and readiness integration of the internet of things in health monitoring systems for infected people that staying at home for isolation purposes. Remote health monitoring plays an outstanding role in healthcare services, from monitoring different chronic diseases, monitoring elders’ persons in the home with or without Caregivers for providing care or attention to them. However, there is a lack of a real-time health monitoring system based on abnormal behavior for covid-19 infected people especially for those who live alone. The analysis made in a period of data collection shows that the current systems are ineffective to monitor infected people for covid-19 with gastrointestinal symptoms. Therefore, smart system-based solutions integrated with a camera are needed for capturing all activity made by the patient without any intervention of the caregiver [1]. IoT-based remote health monitoring systems for infected people are proposed to improve efficiency to the vital signs, and human behavior monitoring thus in reduction of covid-19 complications and deaths cases. It was a continuous monitoring system for the physiological parameters of an infected person by covid-19 while patient infected staying at home, integrated with the image-based human behavior such as vomiting. This method of sensor-based remote health monitoring can overcome the problem of continuous monitoring status of a patient infected by covid-19 from distance facilities. Therefore, medical care staff and healthcare personnel will be aware regularly of the physiological signs of their patients. Body temperature, blood oxygen, heart rate, and v human activity are very important parameters to be used and are deployed to monitor the health status of an infected patient by covid-19. The purpose of this system is to design a patient health status monitoring for the persons tested covid-19 positive and have to be in the isolation room at home. This system will also allow the health facilities to do the follow-up to ensure if the patients’ vital signs remained controlled or they reach the level of the critical case. The system uses a pulse sensor, temperature sensor, and accelerometer sensor to collect data with an Arduino to acquire reading the sensor data, and also Raspberry pi as the microcontroller. The collected data is then sent to the cloud wirelessly, from the cloud data is stored, processed, and then sent to the health worker.