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Proceedings ArticleDOI

IoT based Smart Healthcare System to Detect and Alert Covid Symptom

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TLDR
In this paper, an IoT-based multiple health monitoring system is proposed to detect symptoms of Covid Virus and alert officials, which consists of a contactless temperature sensor, Oximeter, Automatic Hand Sanitizer, Camera module, Room Occupancy Limiter and a Social Distancing module.
Abstract
There is a rapid increase in the spread of the Covid Virus. This has resulted in serious health issues among people. There is a dire need for a proper system to detect COVID symptoms and Alert Officials. The proposed solution is an IoT based multiple Health Monitoring System to detect symptoms of COVID and alert officials. It consists of a contactless temperature sensor, Oximeter, Automatic Hand Sanitizer, Camera module, Room Occupancy limiter and a Social Distancing module. It is a contactless method for patient evaluation. The Internet of Things enables devices to connect to the internet and communicate with each other. Data from these IoT-connected devices will help to identify the scenario and take necessary action. Contactless Temperature Sensor, Oximeter, and Heartbeat rate sensors are used to measure temperature, Oxygen level, and Heart rate respectively. NodeMCU reads sensor values, ESP32 camera module capture picture, and stores for future reference. The sensors measure the data. Normal temperature reading is from 97°F to 99°F and normal SpO2 reading is at least 95% [1]. If the measured value crosses the normal value, those details are immediately sent to health workers with a picture of the individual. The proposed solution also consists of a module to maintain Social Distancing and also an automatic Hand Sanitizing module. As the entire setup is automated, it reduces time and labour and also ensures satisfactory results.

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Citations
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Journal ArticleDOI

Internet of Medical Things (IoMT)-Based Smart Healthcare System: Trends and Progress

TL;DR: This research work provides an overview of IoMT with emphasis on various enabling techniques used in smart healthcare systems (SHS), such as radio frequency identification (RFID), artificial intelligence (AI), and blockchain.
Journal ArticleDOI

Wearable Device for Observation of Physical Activity with the Purpose of Patient Monitoring Due to COVID-19

TL;DR: A wearable device that utilizes real-time monitoring to detect body temperature and ambient conditions and a 1D Convolutional Neural Network was employed to classify whether the user is feverish while considering the physical activity status, illustrated the manner in which it can be leveraged to acquire insight regarding the health of the users in the setting of the COVID-19 pandemic.
Journal ArticleDOI

Artificial intelligence-inspired comprehensive framework for Covid-19 outbreak control

TL;DR: In this paper , a comprehensive framework based on Radio Frequency Identification Device (RFID) and body-wearable sensor technologies supported by the fog-cloud platform is proposed for the identification and management of COVID-19 patients.
Journal ArticleDOI

A survey of COVID-19 detection and prediction approaches using mobile devices, AI, and telemedicine

TL;DR: A survey of the current research efforts on using mobile Internet of Thing (IoT) devices, Artificial Intelligence (AI), and telemedicine for COVID-19 detection and prediction is presented in this paper .
Proceedings ArticleDOI

Covid-19 Vest for Social distancing and Monitoring

TL;DR: In this article , a smart social distance and monitoring system is proposed to detect COVID 19 patients. But the system is not suitable for the use in the field of medical applications, as it requires the user himself or herself to monitor body temperature, social distancing and get an alert in abnormal selfisolation conditions using contactless thermometer, ultrasonic sensors and GSM modules.
References
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Proceedings ArticleDOI

Health Monitoring and Management Using Internet-of-Things (IoT) Sensing with Cloud-Based Processing: Opportunities and Challenges

TL;DR: The availability of data at hitherto unimagined scales and temporal longitudes coupled with a new generation of intelligent processing algorithms can facilitate an evolution in the practice of medicine and help reduce the cost of health care while simultaneously improving outcomes.
Journal ArticleDOI

COVID-SAFE: An IoT-Based System for Automated Health Monitoring and Surveillance in Post-Pandemic Life

TL;DR: A potential application of the Internet of Things (IoT) in healthcare and physical distance monitoring for pandemic situations and the COVID-SAFE framework can assist in minimizing the coronavirus exposure risk is presented.
Journal ArticleDOI

IoT-Based Smart Edge for Global Health: Remote Monitoring With Severity Detection and Alerts Transmission

TL;DR: In this paper, the authors presented an IoT-based smart edge system for remote health monitoring, in which wearable vital sensors transmit data into two novel software engines, namely rapid active summarization for effective prognosis (RASPRO) and criticality measure index (CMI) alerts, both of which have implemented in the IoT smart edge.
Proceedings ArticleDOI

Health care monitoring system in Internet of Things (IoT) by using RFID

TL;DR: A complete monitoring existence cycle and effective healthcare monitoring system designed by using the IoT and RFID tags is described and proposed and the experimental results show the robust output against various medical emergencies.
Journal ArticleDOI

IoT Platform for COVID-19 Prevention and Control: A Survey

TL;DR: A potential fog-cloud combined IoT platform that can be used in the systematic and intelligent COVID-19 prevention and control, which involves five interventions including CO VID-19 Symptom Diagnosis, Quarantine Monitoring, Contact Tracing & Social Distancing, COVID -19 Outbreak Forecasting, and SARS-CoV-2 Mutation Tracking is demonstrated.
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