ABSTRACT
The article discusses various scientific aspects of Indian Vedic Agnihotra Vijnan and Mantra therapy. It has been scientifically proven in many recent experiments and literature that Homa therapy is effective in diseases control through inhaling therapy, generates negative ions responsible for happiness, organic homa krishi (farming) is best for humans, and it is a boon for mental and physical fitness. The authors present a series of small experiments in support of few of the above results and confident enough that gradually this therapy will be popular and accepted globally by one and all. Indian culture and science is scientific and full of components to uplift the human consciousness and ease life. The present study supports this fact by visualizations and sensor-based experiments. In the 21st century, it is crucial to accept with open minded the good features this alternate therapy in view of the multiple waves of the pandemic caused by COVID-19 and other global threats. Copyright © 2022, IGI Global.
ABSTRACT
To determine the capabilities of this technology, we refer to different research papers related to this topic. This literature-based research could assist practitioners in devising responses to relevant issues and combating the COVID-19 pandemic. This paper examines the position of IoT-based technology in COVID-19. It looks at state-of-the-art architectures, networks, implementations, and industrial IoT-based solutions for combating COVID-19 in three stages: early detection, quarantine, and recovery. Since 2020 was a challenging year for all of us, and during this pandemic, we all realized that social gatherings had to be avoided, and the serious issue was to handle it. So to tackle this and ease the handling of the Corona Virus, we developed an automatic door that monitors an individual's temperature and whether the person is wearing a mask. In the absence of a mask, it clicks a picture of the person and stores it in the database for future reference. © 2023 The authors and IOS Press.
ABSTRACT
Recent technological advancements have opened the path for smart gadgets, including wearable devices. Wearable sensors can predict human body motions and track a variety of medical symptoms associated with chronic diseases. The proposed study utilizes IoT sensors to monitor human bodily states, with the obtained data being saved in a cloud context. The data saved in the cloud environment is analyzed further using data analysis algorithms to enable clinicians' efficient monitoring and prompt response. Moreover, data fluctuation may assist physicians in notifying them of emergencies, preserving a precious human life. The proposal might be implemented efficiently in emergency medical settings when patients need continual monitoring and the greatest attention from medical professionals. The suggested idea might be used to deploy several life-threatening conditions such as spinal muscular atrophy, hypertrophic cardiomyopathy, and Covid patient monitoring. © 2022 IEEE.
ABSTRACT
The number of COVID-19 cases is growing rapidly, while there is not enough healthcare workers which can help the patients. Even worse, the highly contagious nature of this disease, requires the medical staff to be more restrictive and wear the Personal Protective Equipment (PPE) all the time when handling the patients directly. In this situation, a remote system which can monitor patient progress from a distant is inevitable. The emerge of Internet of Thing (IoT) technology has been implemented in many domain. The availability of smart technology, where almost all devices around us has connectivity to the internet, allow people to automate process from distance. The implementation of IoT has also been shown very helpful in medical domain, especially during the pandemics. The IoT technology can be a suitable solution for monitoring patients with a highly contagious disease. The technology can also be very helpful for people who live far from healthcare facility. This can allow people to report immediately and even connect to the hospital system in real-time. In this paper, we propose the use of three different sensors, namely: heart-rate and pulse oximeter sensor (MAX30102), temperature sensor(DS18b20) and accelerometer sensor, which is integrated in a web-based early warning monitoring system for COVID-19 patients. © 2021 IEEE.
ABSTRACT
Today, COVID-19-patient health monitoring and management are major public health challenges for technologies. This research monitored COVID-19 patients by using the Internet of Things. IoT-based collected real-time GPS helps alert the patient automatically to reduce risk factors. Wearable IoT devices are attached to the human body, interconnected with edge nodes, to investigate data for making health-condition decisions. This system uses the wearable IoT sensor, cloud, and web layers to explore the patient's health condition remotely. Every layer has specific functionality in the COVID-19 symptoms' monitoring process. The first layer collects the patient health information, which is transferred to the second layer that stores that data in the cloud. The network examines health data and alerts the patients, thus helping users take immediate actions. Finally, the web layer notifies family members to take appropriate steps. This optimized deep-learning model allows for the management and monitoring for further analysis.