ABSTRACT
There is an alarming upward trend in COVID-19 cases, and the existing healthcare system is unable to cater the day-to-day requirements from testing followed by appropriate patient care. The use of monitoring devices has found the importance of detecting the presence of the virus early. In order to expand the exciting monitoring system, every technocrat needed to come forward and donate his money to this. Authors as a responsible persons deemed it proper to work on the development design of multipurpose all in one reliable device to help the front like warriors in identifying persons with COVID-19 symptoms like temperature, heartbeat, humidity and positioning real time. After putting in an extra effort, author has succeeded in translating my idea into action. A device that is so well-designed and will increase the medical brotherhood effort to continue monitoring patient health parameters using a variety of sensors connected to the Arduino board. The generated data is then transmitted via Wi-Fi module to IOT platform, i.e., ThingSpeak and which can be monitored on devices like desktop, laptop or smartphone. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
ABSTRACT
Healthcare sectors are majorly moving towards Remote Health Monitoring Systems (RHMS) after the COVID-19 pandemic outbreak across the world. RHMS involves monitoring the patient's vital parameters remotely and providing advice and consultation online. Alerts are generated whenever a particular health parameter exceeds the threshold and sent to the medical officers for further actions. However, it is observed that these thresholds are applicable only when a patient is at rest and can change drastically during patient's physical activity such as walking, climbing the staircase, during exercise etc., which can mislead in understanding the patient's health condition. Hence there is a requirement to correlate these parameter values with the current activity the patient is in and to generate activity-based dynamic thresholds. In this paper, a method to correlate the sensor values with physical activities is proposed. The activity-based RHMS (aRHMS) uses the motion sensors available in the patient's smartphone to predict the activity and will automatically adjust the threshold values in co-relation with the activities and provides alarms/alerts accordingly. © 2022 IEEE.
ABSTRACT
Nowadays, more than 2,1 million confirmed cases had been reported in Peru of people infected by COVID-19. According to the Ministry of Health data, an increase in the occupancy of Intensive Care Unit beds is observed. This high number of cases added to the capacity of few hospital beds causes the increase in patients whom medical centres in Peru cannot treat. We present MoniCovid as an application to monitor health parameters periodically and ensure the treatment and stability for patients with suspicions or mild COVID-19 symptoms and who belong to the low socioeconomic levels that represent more than half of the Peruvian population. In addition, it allows physicians to review follow-up reports for each patient and determine if they need emergency care. We use the methodology of Building Progressive Web Apps book to incorporate native functionality into the web application. In this way, MoniCovid becomes a multiplatform capable application that allows it to be acquired by many patients. A case study in Lima showed that MoniCovid application is functional and allows reducing the time of patient monitoring and medical diagnosis by 70.89% and 56.56% respectively. In addition, a user acceptance of 4.74 in usability and 4.71 in user experience. © 2022 IEEE Computer Society. All rights reserved.
ABSTRACT
In recent years, internet of things (IoT) technology has shown great potential in the health care sector through different wearable sensors. Monitoring various health parameters like body temperature, blood pressure, heartbeat, oxygen level, and sugar level is very important for being proactive against chronic and pandemic diseases. Monitoring patients is a great challenge during pandemic diseases since doctors and other medical practitioners are exposed to risk. This paper presents a novel touchless health and patient monitoring system embedding ultra-wideband (UWB) and IoT technolo-gies for effective monitoring of COVID-19 patients. The IoT module is specifically designed for health monitoring whereas UWB radar is designated for effective touchless patient monitoring. The IoT module comprises a temperature sensor, heartbeat sensor, and pulse oximeter, which sense and store the information in the Internet cloud, which can then be accessed through mobile and web applications. UWB radar is integrated with the system for touchless patient monitoring. The proposed system is also embedded with a heath-assisting module that allows patients to interact with doctors after receiving their health parameters through the mobile bot application termed IOT FIT BOT. A mobile application and a web-based graphical user interface are developed to receive sensed data immediately. Thus the proposed system provides effective health monitoring along with live health assistance, and more importantly, the system offers touchless patient monitoring, which will be a promising solution for medical professionals during pandemic situations like COVID-19. © 2022 by Begell House, Inc.
ABSTRACT
Whenever the patient is admitted to a hospital, the doctors and nurses have to keep a regular check on each of them and also maintain a record of all the vital health parameters of patient. In a situation of pandemic like the one due to COVID-19 a huge number of patients are admitted at once which becomes very difficult for hospital staff to monitor each of them continuously. So, the model proposed here is a IoT based wearable system which is an assistive device for patient monitoring which will help the doctors, nurses and patient's relatives to keep a track of some vital health parameters like heartbeat, temperature and blood oxygen levels. All of these sensor data will be stored into the cloud platform "Thingspeak"and also to the mobile app "Blynk". And this system is made automatic so it will keep on monitoring and storing the sensor data at regular intervals which can be accessed from anywhere via the internet and even the alert system will notify about the emergency. Another part of the model which is separate from the wearable system is to monitor and store volume of drip or IV fluids is given to the patient. © 2022 Copyright for this paper by its authors.