A Robotic System For Covid 19 Screening Using Olfactory And Temperature Sensing Combined With Subjective Methods PDF Download
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| Author | : Mohamed Elnoor Bashir |
| Publisher | : |
| Total Pages | : 146 |
| Release | : 2021 |
| Genre | : Robots |
| ISBN | : |
Download A Robotic System for COVID-19 Screening Using Olfactory and Temperature Sensing Combined with Subjective Methods Book in PDF, ePub and Kindle
In the beginning of the year 2020, humans were unexpectedly attacked by one of the most contagious viruses, SARS-CoV-2, which causes the COVID-19. Even though there were similar corona viruses before (such as MERS-CoV and SARS-CoV), this one surprised the health authorities by how fast it was able to spread among humans. A COVID-19 patient may not show symptoms until the 14th day after the infections and become a virus carrier during this period. Robots can help in fighting this pandemic, as well as other similar health threats. Their physical presence in key areas may break the chain of transmission (human-to-human), and consequently reduce the chances of infection. In this thesis, a robot is designed to provide early identification of infection. This robot measures two key symptoms, olfactory dysfunction and fever. An objective technique is used to check the sense of smell, which differentiates COVID-19 from flu. Such approach was used because it provides higher reliability and more accurate results than the common self-report methods. Along with those objective measurements, a friendly interface is designed to create smooth dialogue to extract other subjective symptoms. After combining the relevant information, the designed robot was able to determine the likelihood of having COVID-19 for each suspected individual.
| Author | : Chaudhery Mustansar Hussain |
| Publisher | : Elsevier |
| Total Pages | : 328 |
| Release | : 2022-07-22 |
| Genre | : Science |
| ISBN | : 0323902812 |
Download Sensing Tools and Techniques for COVID-19 Book in PDF, ePub and Kindle
Sensing Tools and Techniques for COVID-19: Developments and Challenges in Analysis and Detection of Coronavirus helps readers understand the basic principles of sensor development. Sections give a brief overview of the physical and chemical properties of sensing tools and the basics of techniques. With recent advancements in sensing technology, various smart materials and techniques are now being employed for new purposes. In addition, biosensing devices can be tuned at the molecular level to perform better detection of COVID-19. This book covers the various approaches for the development and fabrication of biosensor systems for the analysis of the novel coronavirus. In addition, the book discusses the commercialization and standardization of biosensing technology, along with future perspectives on biosensor technologies used for the analysis and treatment of COVID-19. This book will serve as an up-to-date source of trusted information on biosensor tools and techniques for the analysis of COVID-19. Provides an in-depth look at current sensing tools and devices and their applicability in healthcare Demonstrates the different integration approaches for the development of biosensor systems, along with design and commercialization guidelines Presents a strategic approach for the contact-less analysis of COVID-19
| Author | : Chaudhery Mustansar Hussain |
| Publisher | : John Wiley & Sons |
| Total Pages | : 308 |
| Release | : 2021-08-23 |
| Genre | : Science |
| ISBN | : 3527349189 |
Download Detection and Analysis of SARS Coronavirus Book in PDF, ePub and Kindle
Detection and Analysis of SARS Coronavirus Detecting and analyzing the COVID-19 pandemic with biosensor technology The highly contagious SARS CoV-2 pathogen has challenged health systems around the world as they struggle to detect and monitor the spread of the pathogen. In Detection and Analysis of SARS Coronavirus: Advanced Biosensors for Pandemic Viruses and Related Pathogens expert chemists Chaudhery Mustansar Hussain and Sudheesh K. Shukla deliver a practical analysis of how contactless coronavirus detectors may be developed using existing biosensor technology. The editors outline current challenges in the field, the bioanalytical principles for coronavirus detection, and available biosensor technology. They then move on to how available technology might be adapted to detect coronaviruses and how commercialization of the technology might unfold. The lessons learned in this book are readily applicable to the study of other current and emerging pathogens. Readers will also enjoy: A thorough introduction to the current diagnostic approaches for COVID-19, including common challenges, technology adaptation, and future potential An exploration of bio-analytical strategies for SARS CoV-2/COVID-19, including COVID detection via nanotechnology, biosensing approaches, and the role of nanotechnology in coronavirus detection Practical discussions of biosensors for the analysis of SARS CoV-2/COVID-19, including sensor development for coronavirus and chemical sensors for coronavirus diagnosis In-depth treatments of the commercialization and standardization for analytical technologies Perfect for virologists, pharmaceutical industry professionals, and sensor developers, Detection and Analysis of SARS Coronavirus is also an indispensable resource for those working in analytical research institutes, biotechnology industry professionals, and public health agency professionals.
| Author | : Hang Su |
| Publisher | : Frontiers Media SA |
| Total Pages | : 113 |
| Release | : 2022-11-10 |
| Genre | : Technology & Engineering |
| ISBN | : 2832504426 |
Download Applying Robotics and AI in Pandemics (COVID-19): Detection, Diagnosis and Delivery Book in PDF, ePub and Kindle
| Author | : Joao Alexandre Lobo Marques |
| Publisher | : Springer Nature |
| Total Pages | : 210 |
| Release | : 2023-06-26 |
| Genre | : Technology & Engineering |
| ISBN | : 3031307887 |
Download Computerized Systems for Diagnosis and Treatment of COVID-19 Book in PDF, ePub and Kindle
This book describes the application of signal and image processing technologies, artificial intelligence, and machine learning techniques to support Covid-19 diagnosis and treatment. The book focuses on two main applications: critical diagnosis requiring high precision and speed, and treatment of symptoms, including those affecting the cardiovascular and neurological systems. The areas discussed in this book range from signal processing, time series analysis, and image segmentation to detection and classification. Technical approaches include deep learning, transfer learning, transformers, AutoML, and other machine learning techniques that can be considered not only for Covid-19 issues but also for different medical applications, with slight adjustments to the problem under study. The Covid-19 pandemic has impacted the entire world and changed how societies and individuals interact. Due to the high infection and mortality rates, and the multiple consequences of the virus infection in the human body, the challenges were vast and enormous. These necessitated the integration of different disciplines to address the problems. As a global response, researchers across academia and industry made several developments to provide computational solutions to support epidemiologic, managerial, and health/medical decisions. To that end, this book provides state-of-the-art information on the most advanced solutions.
| Author | : Pranjal Chandra |
| Publisher | : Springer Nature |
| Total Pages | : 199 |
| Release | : 2020-12-04 |
| Genre | : Medical |
| ISBN | : 9811560064 |
Download Diagnostic Strategies for COVID-19 and other Coronaviruses Book in PDF, ePub and Kindle
This book provides fundamental information on various techniques for the detection of SARS-CoV-2 including reverse transcriptase (RT) PCR, loop-mediated isothermal amplification, immunodiagnostic tests, and CRISPR-Cas. It reviews various testing kits and detection methodologies that are currently being used for the detection of SARS-CoV-2 and examines strategies for the post-treatment detection and monitoring of SARS-CoV-2. Further, it assesses the diagnostic potential of several SARS-CoV-2 proteins; and analyzes their structural determinants and immunogenicity. In turn, the book evaluates the potential of CRISPR-Cas 12-based assays for the detection of SARS-CoV-2 using RNA extracted from patients. Lastly, it discusses the use of miniaturized biosensors for the detection of other types of coronavirus.
| Author | : Mamata Mohapatra |
| Publisher | : Springer Nature |
| Total Pages | : 212 |
| Release | : 2022-01-06 |
| Genre | : Technology & Engineering |
| ISBN | : 9811643725 |
Download COVID-19 Pandemic Book in PDF, ePub and Kindle
This book provides a comprehensive overview of recent novel coronavirus (SARS-CoV-2) infection and discusses developments in the field of nanoparticle/inorganic/organic materials development for antiviral application, therapeutic applications, PPE kit formulations and inclusion of simulated data. The contents focus on measures to keep the infections in check, materials aspects for detection and monitoring, AI modeling for prediction of spread of the virus, among others. This book will be a useful reference for researchers, scientists and policy makers alike.
| Author | : S. Prabha |
| Publisher | : CRC Press |
| Total Pages | : 144 |
| Release | : 2021-09-02 |
| Genre | : Medical |
| ISBN | : 1000439372 |
Download Computational Modelling and Imaging for SARS-CoV-2 and COVID-19 Book in PDF, ePub and Kindle
The aim of this book is to present new computational techniques and methodologies for the analysis of the clinical, epidemiological and public health aspects of SARS-CoV-2 and COVID-19 pandemic. The book presents the use of soft computing techniques such as machine learning algorithms for analysis of the epidemiological aspects of the SARS-CoV-2. This book clearly explains novel computational image processing algorithms for the detection of COVID-19 lesions in lung CT and X-ray images. It explores various computational methods for computerized analysis of the SARS-CoV-2 infection including severity assessment. The book provides a detailed description of the algorithms which can potentially aid in mass screening of SARS-CoV-2 infected cases. Finally the book also explains the conventional epidemiological models and machine learning techniques for the prediction of the course of the COVID-19 epidemic. It also provides real life examples through case studies. The book is intended for biomedical engineers, mathematicians, postgraduate students; researchers; medical scientists working on identifying and tracking infectious diseases.
| Author | : Usama Afzal |
| Publisher | : Infinite Study |
| Total Pages | : 13 |
| Release | : |
| Genre | : Technology & Engineering |
| ISBN | : |
Download Analyzing Imprecise Data from Wireless Temperature Sensor Book in PDF, ePub and Kindle
Various sensors play an important role in the monitoring and development of robotic technology. We present a contemporary statistical analysis method for evaluating datasets generated by robotic systems. Specifically, this data set originates from the physical structure of the robot and is acquired by a wireless temperature sensor. The data collection process spans a temporal period of 1 to 10 hours during the operational period of the robot. The collected data is subjected to a rigorous analysis using neutrosophic methodology. To facilitate this, a modern neutrosophic formula has been devised, drawing on definitions established within the field. To benchmark the effectiveness of the proposed approach, a conventional formula is also used for comparison purposes. Our results clearly indicate that the proposed method achieves higher levels of information richness and adaptability compared to classical methods. This indicates the improved utility of the proposed approach in solving the complexities of robotic data analysis.
| Author | : Khalid Raza |
| Publisher | : Springer Nature |
| Total Pages | : 436 |
| Release | : 2020-10-16 |
| Genre | : Technology & Engineering |
| ISBN | : 9811585342 |
Download Computational Intelligence Methods in COVID-19: Surveillance, Prevention, Prediction and Diagnosis Book in PDF, ePub and Kindle
The novel coronavirus disease 2019 (COVID-19) pandemic has posed a major threat to human life and health. This book is beneficial for interdisciplinary students, researchers, and professionals to understand COVID-19 and how computational intelligence can be used for the purpose of surveillance, control, prevention, prediction, diagnosis, and potential treatment of the disease. The book contains different aspects of COVID-19 that includes fundamental knowledge, epidemic forecast models, surveillance and tracking systems, IoT- and IoMT-based integrated systems for COVID-19, social network analysis systems for COVID-19, radiological images (CT, X-ray) based diagnosis system, and computational intelligence and in silico drug design and drug repurposing methods against COVID-19 patients. The contributing authors of this volume are experts in their fields and they are from various reputed universities and institutions across the world. This volume is a valuable and comprehensive resource for computer and data scientists, epidemiologists, radiologists, doctors, clinicians, pharmaceutical professionals, along with graduate and research students of interdisciplinary and multidisciplinary sciences.
