With the commencement of the COVID-19 pandemic, social distancing and quarantine are becoming essential practices in the world. IoT health monitoring systems prevent frequent visits to doctors and meetings between patients and medical professionals. However, many individuals require regular health monitoring and observation through medical staff. In this proposed work, we have taken advantage of the technology to make patients life easier for earlier diagnosis and treatment. A smart health monitoring system is being developed using Internet of Things (IoT) technology which is capable of monitoring blood pressure, heart rate, oxygen level, and temperature of a person. This system is helpful for rural areas or villages where nearby clinics can be in touch with city hospitals about their patient health conditions. However, if any changes occur in a patient's health based on standard values, then the IoT system will alert the physician or doctor accordingly. The maximum relative error (%ϵr) in the measurement of heart rate, patient body temperature and SPO2 was found to be 2.89%, 3.03%, 1.05%, respectively, which was comparable to the commercials health monitoring system. This health monitoring system based on IoT helps out doctors to collect real-time data effortlessly. The availability of high-speed internet allows the system to monitor the parameters at regular intervals. Furthermore, the cloud platform allows data storage so that previous measurements could be retrieved in the near future. This system would help in identifying and early treatment of COVID-19 individual patients. 

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IoT-Based Smart Health Monitoring System for COVID-19

Having good health is something everyone wants. It is equally important to monitor a person’s health on a regular basis to avoid any kind of abrupt changes in the future. Also, simple monitoring health status for older people is equally necessary, and in this fast and modern world, long hospital queues and ambulatory monitoring is well known. These issues demand the system to develop a basic health monitoring system that can be used in homes or wherever possible with primary health parameters. We know that advanced technology has led to many wireless devices and the internet of things. Using IoT, we can capture data and transmit data through the internet, providing data interoperability methods. Nowadays, IOT plays a vital role in capturing data and monitoring, analyzing a series of data, recording storage, and display. We analyze parameters such as body temperature, blood pressure, pulse sensor, and GPS to track the patient’s current location in this project. We use Arduino Board as a processor where the collected data is sent to Arduino and is processed further. We use the WIFI module to transmit data over the internet for analysis. This analyzed data is stored and used for flexible purposes. Results are automatically sent to the doctor when a critical condition is detected.

IoT based remote patient health monitoring system

In improvement of the quality of health care services, Internet of Things (IoT) has evolved rapidly for monitoring patient from distance. However, notifying health status based on continuous change of health condition for immediate healing to patient, existing systems has some limitations. In this paper, we demonstrate a smart health monitoring technology for diabetic patients which follows up their health condition depending on sugar level, heart pulse, food intake, sleep time and exercise. To illustrate, this technology takes the variables (data) as input through sensors continuously and process with neural network to evaluate the data, resulting four modes of health risk status: low, medium, high and extreme. The range of the risk status can differ based on patient’s type and previous histories of their health. In addition, an automatic phone call and/or SMS notification is being sent to patient’s relative along with patient’s location if his/her health condition is at high or extreme risk. Besides, it also calls patients nearest hospital in case of extreme risk. However, the system provides allied instruction as voice command to patient’s mobile in both cases. This technology has been experimented on 25 diabetic patients successfully and achieved 84.29% accuracy to identify the proper risk level, which is a highly acceptable level of identifying health risk status.

IoT Based Smart Health Monitoring System for Diabetes Patients Using Neural Network

Digital twin technology on IoT, industries & other smart environments: A survey

DNA based SHA512-ECC cryptography and CM-CSA based steganography for data security

Among many applications enabled by the Internet of Things (IoT), smart and connected health care is a particularly important one. Networked sensors, either worn on the body or embedded in our living environments, make possible the gathering of rich information indicative of our physical and mental health. Captured on a continual basis, aggregated, and effectively mined, such information can bring about a positive transformative change in the health care landscape. In particular, the availability of data until now coupled with a new generation of intelligent processing algorithms can: (a) facilitate an evolution in the practice of medicine, from the current post facto diagnose-and treat reactive paradigm, to a proactive framework for prognosis of diseases at an incipient stage, coupled with prevention, cure, and overall management of health instead of disease, (b) enable personalization of treatment and management options targeted particularly to the specific circumstances and needs of the individual, and (c) help reduce the cost of health care while simultaneously improving outcomes. In this paper, we highlight the opportunities and challenges for IOT in realizing this vision of the future of health care.

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Pravallika Madiraju

Papers

IOT Based Health Monitoring System