ABSTRACT
During the COVID-19 situation, various application-based work has to be studied and deployed to enable an IoT-based health framework. This work-based study may guide professionals in envisaging solutions to related problems and fighting against the COVID-19 type pandemic. Therefore, it identifies various technologies of IoT-based systems for monitoring pandemic situations. The mechanisms included in IoT like actuators, sensors, and the cloud-based network serves to help people from home rather than visiting the hospital occasionally. It uses optimizers to train the "noise” and "cough” target classes. Mel Frequency Cepstral Coefficients (MFCCs) were initially employed in several speech processing approaches, but as the discipline of Music Information Retrieval (MIR) advanced alongside machine learning, it was discovered that MFCCs could accurately capture timbre. Overall, the study finds different IoT applications for the medical area during the pandemic situation with detailed descriptions. In this present condition, advanced methodologies have given way to innovation in day-to-day life. The IoT-based model provides an enhancement of 98.8% with a minimum training loss of 0.15. The framework depicts the excellent working of the proposed framework, and a true positive value of around 96.6% is shown in the confusion matrix and a true negative rate of around 97% was illustrated using this model. By making it possible for the cost-effective fabrication of wearable sensors through printing on a variety of flexible polymeric substrates, the rapid advancements in solution-based nanomaterials presented a hopeful viewpoint to the field of wearable sensors. This review focuses on the most recent significant advancements in the field of wearable sensors, including novel nanomaterials, manufacturing techniques, substrates, sensor types, sensing mechanisms, and readout circuits. It concludes with difficulties in the subject's future application. © 2021 Journal of Robotics and Control (JRC). All rights reserved.
ABSTRACT
COVID-19 is unquestionably one of the most hazardous health issues of our century, and it is a significant cause of mortality for both men and women throughout the globe. Even with the most advanced pharmacological and technical innovations, cancer oncologists, and biologists still have a substantial problem treating COVID-19. For patients with COVID-19, it is critical to offer initial, precise, and effective indicative procedures to increase their survival and minimize morbidity and mortality, which is currently lacking. A COVID-19 detection method has been presented in this paper for the initial identification of COVID-19 hazard factors. Features from accelerated segment test (FAST), a robust feature was used to extract features in this suggested method. The experiments show that it is possible to identify FAST traits efficiently. A consequence was a high success rate (98%) for accuracy performance. © 2022, Institute of Advanced Engineering and Science. All rights reserved.
ABSTRACT
Since the quit of 2019, the COVID-19 disorder has been spreading over the world. This outbreak poses a principal risk to the public's fitness and safety, as well as the health and safety of medical personnel and medical systems around the world. During a pandemic, it is expected that robots will be used to improve patient care and reduce the burden on the medical system. However, there is a shortage of applications and smart systems in the e-health currently specially the proposed solutions for the pandemic, from the perspective of technologies. Throughout the healthcare application, the Wireless Body Area Network (WBAN) allows for non-stop fitness monitoring of the affected person besides affecting his or her normal things to do of each day living. One of the most significant factors for creating an effective surveillance system is network performance efficiency in health care applications. Previous research, on the different hand, has failed to produce a tremendous gadget that ought to tackle the constraints to the tremendous community set up or the improvement of WBAN structures successful in rapidly sending and receiving crucial affected person data. Thus, through this paper is proposed smart system in title Design and Implementation of WBAN Smart System connection to control Covid-19 patients remotely. There are some previous studies that have been adopted to examine the solutions currently used to address the packet loss. © The Author 2021. This work is licensed under a Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) that allows others to share and adapt the material for any purpose (even commercially), in any medium with an acknowledgement of the work's authorship and initial publication in this journal.