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This book contains 13 chapters in which you can find various examples of the development of methods and/or systems supporting medical diagnostics and therapy, related to biomedical imaging, signal and image processing, biomechanics, biomaterials and artificial organs, modeling of biomedical systems, which, as the current research issues, were presented at the 22nd Polish BBE Conference held at the Nalecz Institute of Biocybernetics and Biomedical Engineering, Polish Academy of Sciences, in May 2021. Obviously, it is not easy to recommend an interdisciplinary book as it may seem inconsistent in some respects. This is the case here because it concerns the area of biocybernetics and biomedical engineering (BBE), which is not only an interdisciplinary but even multidisciplinary science. On the other hand, the scattered subject matter of the book is its advantage, as the book may be of interest to an advanced and wide range of readers and researchers representing both medical, biological and technical points of view.
The book contains 35 chapters, in which you can find various examples of the development of methods and/or systems supporting medical diagnostics and therapy, related to biomedical imaging, signal and image processing, biomaterials and artificial organs, modelling of biomedical systems, which were presented as current research topics at the 23rd Polish Biocybernetics and Biomedical Engineering Conference, held at the Institute of Electronics, Lodz University of Technology in September 2023. The ongoing and dynamic development of AI-based data processing and analysis methods plays an increasingly important role in medicine. This book addresses these issues by presenting applications of such methods in various areas, such as disease diagnosis and prediction, particularly through the use of image data analysis algorithms. Other topics covered include personalized medicine, where multimodal patient data is acquired and analyzed, as well as robotic surgery and clinical decision support. The book is of interest to an advanced and broad readership, including researchers and engineers representing both medical, biological, and engineering viewpoints. Its readers may also be graduate and postgraduate students in various fields such as biomedical engineering, artificial intelligence, biomaterials, and medical electronics, as well as software developers in R&D departments working in the field of intelligent healthcare engineering.
This book gathers 30 papers presented at the 21st PCBBE, which was hosted by the University of Zielona Góra, Poland, and offered a valuable forum for exchanging ideas and presenting the latest developments in all areas of biomedical engineering. Biocybernetics and biomedical engineering are currently considered one of the most promising ways to improve health care and, consequently, the quality of life. Innovative technical solutions can better meet physicians’ needs and stimulate the development of medical diagnostics and therapy. We are currently witnessing a profound change in the role of medicine, which is becoming ubiquitous in everyday life thanks to technological advances. Further, the development of civilization manifests itself in efforts to unlock the secrets of the human body, and to mimic biological systems in engineering. The biannual Polish Conference on Biocybernetics and Biomedical Engineering (PCBBE) has been held for nearly four decades and has attracted scientists and professionals in the fields of engineering, medicine, physics, and computer science. Gathering the outcomes of this conference, the book introduces the reader to recent developments and achievements in biocybernetics and biomedical engineering.
This book constitutes the refereed proceedings of the 14th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2022, held in Ho Chi Minh City, Vietnam, in November 2022. ​This volume contains 60 peer-reviewed papers selected for poster presentation from 406 submissions. Papers included in this volume cover the following topics: data mining and machine learning methods, advanced data mining techniques and applications, intelligent and contextual systems, natural language processing, network systems and applications, computational imaging and vision, decision support and control systems, and data modeling and processing for industry 4.0.
This book presents the best 27 papers from the 20th Polish Conference on Biocybernetics and Biomedical Engineering (PCBBE) hosted by the AGH University of Science and Technology in Krakow. This biannual event has been held for nearly four decades and offers scientists and professionals from the fields of engineering, medicine, physics, and computer science an excellent platform for exchanging ideas. Biocybernetics and biomedical engineering is currently considered a promising approach to improving healthcare – and consequently quality of life. Innovative technical solutions not only respond to the needs of caregivers, but also stimulate the development of medical sciences by supporting medical practitioners, and we are currently witnessing a profound change of the role of medicine that has become ubiquitous in everyday life thanks to recent technological advances. The development of civilization manifests itself in a growing focus on investigating the secrets of the human life, continuous efforts to support life, and mimicking biological systems in engineering. Presenting the latest developments in all areas of biomedical engineering, the book is a valuable resource for researchers and scientists in the field.
Healthcare Solutions Using Machine Learning and Informatics covers novel and innovative solutions for healthcare that apply machine learning and biomedical informatics technology. The healthcare sector is one of the most critical in society. This book presents a series of artificial intelligence, machine learning, and intelligent IoT-based solutions for medical image analysis, medical big-data processing, and disease predictions. Machine learning and artificial intelligence use cases in healthcare presented in the book give researchers, practitioners, and students a wide range of practical examples of cross-domain convergence. The wide variety of topics covered include: Artificial Intelligence in healthcare Machine learning solutions for such disease as diabetes, arthritis, cardiovascular disease, and COVID-19 Big data analytics solutions for healthcare data processing Reliable biomedical applications using AI models Intelligent IoT in healthcare The book explains fundamental concepts as well as the advanced use cases, illustrating how to apply emerging technologies such as machine learning, AI models, and data informatics into practice to tackle challenges in the field of healthcare with real-world scenarios. Chapters contributed by noted academicians and professionals examine various solutions, frameworks, applications, case studies, and best practices in the healthcare domain.
This book provides a platform for presenting machine learning (ML)-enabled healthcare techniques and offers a mathematical and conceptual background of the latest technology. It describes ML techniques along with the emerging platform of the Internet of Medical Things used by practitioners and researchers around the world. Evolution of Machine Learning and Internet of Things Applications in Biomedical Engineering discusses the Internet of Things (IoT) and ML devices that are deployed for enabling patient health tracking, various emergency issues, and the smart administration of patients. It looks at the problems of cardiac analysis in e-healthcare, explores the employment of smart devices aimed at different patient issues, and examines the usage of Arduino kits where the data can be transferred to the cloud for Internet-based uses. The book includes deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology. The authors also examine the role of IoT and ML in electroencephalography and magnetic resonance imaging, which play significant roles in biomedical applications. This book also incorporates the use of IoT and ML applications for smart wheelchairs, telemedicine, GPS positioning of heart patients, and smart administration with drug tracking. Finally, the book also presents the application of these technologies in the development of advanced healthcare frameworks. This book will be beneficial for new researchers and practitioners working in the biomedical and healthcare fields. It will also be suitable for a wide range of readers who may not be scientists but who are also interested in the practices of medical image retrieval and brain image segmentation.
As the world grapples with pressing environmental challenges, the need for sustainable solutions has never been more urgent. From climate change to resource depletion, our planet faces unprecedented threats that require immediate action. Revolutionizing Automated Waste Treatment Systems: IoT and Bioelectronics emerge as a beacon of hope, offering comprehensive insights and practical guidance to address these critical issues. By delving into the principles and applications of green technologies, this book presents a roadmap towards a greener, more sustainable future. Recognizing the essential role that green technologies play in mitigating environmental degradation, this book emphasizes concepts such as smart technologies, bioelectronics, and the internet of things. It also illustrates how these innovations can be leveraged to create a more sustainable world. Readers will be educated on the importance of adopting these technologies, and the book provides actionable strategies for implementation. Use this impressive resource to grasp a more holistic approach to environmental sustainability, from designing green infrastructure to managing water resources.
In this book, recent developments, the future outlook, and advanced and analytical modeling techniques of smart electric and hybrid vehicles are explained with examples backed by experimental and numerical data. It also discusses the integration of newer developments like digital twin, artificial intelligence, nature-inspired algorithms, Internet of Things, and the role of Industry 4.0 in advancements in vehicle engineering. It compiles overall aspects of advancements in smart electric and hybrid vehicles by bringing the latest research and development by comprehensive range of mathematical, numerical, and simulation modeling, and management techniques to strengthen the engineering science and technological developments for the future. Features: • This book focuses on contemporary aspects of smart electric and hybrid vehicles techniques for new means and models for green environment. • Discusses the role of artificial intelligence, machine learning, and machine vision tools in smart electric and hybrid vehicles. • Presents design and analysis of charging stations and their sustainability roadmap for smart electric vehicles. • Highlights the cyber and functional security of intelligent and hybrid vehicles. • Explains diagnostics, prognostics, reliability, and durability issues in smart electric and hybrid vehicles. • Covers the Internet of Things-based battery and charging management approach and effect of voltage drop in charging capacity of smart electric vehicles. It is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering, and automotive engineering.
Experts in Medicine are under new pressures of advancing their studies while also reducing the impact they leave on the environment. Researchers within the fields of bio-neuro informatics, healthcare, engineering, and medical sciences require a dynamic platform that bridges the realms of academia, science, industry, and innovation. Green AI-Powered Intelligent Systems for Disease Prognosis facilitates a crossroads for a diverse audience interested in these two seldom coalesced concepts. Academicians, scientists, researchers, professionals, decision-makers, and even aspiring scholars all find a space to contribute, collaborate, and learn within the platform that this book provides. The book's thematic coverage is unequivocally compelling; by exploring the intersections of bio-neuro informatics, healthcare, engineering, and medical sciences, it captures the spirit of interdisciplinary research. It delves into well-established domains while also casting a spotlight on emerging trends that have the potential to reshape our understanding of these fields. Two prominent tracks form the backbone of the book's content. The first covers the Bioinformatics and Data Mining of Biological Data (BiDMBD), and unravels the intricacies of biomedical computation, signal analysis, clinical decision support, and health data mining. This approach holds a treasure trove of insights into the mechanisms of health data acquisition, clinical informatics, and the representation of healthcare knowledge. The second covers Biomedical Informatics and is a symposium of computational modeling, genomics, and proteomics. Here, the fusion of data science with medical sciences takes center stage.