Biomedicinsk teknik

This book provides a holistic evidence-based perspective on conceptual, clinical, assessment, and treatment aspects of key non-substance-based addictive disorders related to: gambling, gaming, social media, smartphone, internet, love, sex, exercise, work, and shopping. Each chapter focuses on a different addictive disorder and is structured in a user-friendly way to enable the reader fast navigation, yet the main aspects of the respective disorders are covered in the necessary depth. All in all, this book offers a timely, self-contained introduction to both key concepts and the latest scientific developments in behavioral addictions. It addresses mental health practitioners, researchers in psychology, neuroscience and communication, and undergraduate and postgraduate students alike.

Fluorescence Molecular Tomography: Principles and Applications is the first book to cover the underlying principles and practical applications of fluorescence molecular tomography (FMT) in a systematic manner. Using a tutorial approach, the text begins with an overview of the fundamentals of FMT and goes on to detail image reconstruction approaches (including linear and nonlinear reconstruction algorithms), FMT instrumentations (including time-domain, frequency-domain, and continuous-wave domain systems), and implementation of image-enhancing schemes (including both software and hardware approaches). Further chapters examine multimodal approaches combining photoacoustic tomography (PAT), computed tomography (CT), single-photon emission tomography (SPECT), and magnetic resonance imaging (MRI) and discuss bioluminescence tomography and miniaturized FMT from hand-held to endoscopic FMT. A final chapter looks at clinical applications and animal studies. This authoritative and practical guide will serve as a valuable reference for researchers, scientists, clinicians, and industry professionals.The first book dedicated to fluorescence molecular tomography (FMT); Covers underlying principles and practical applications; Written by a leading FMT research pioneer and expert.

This is a graduate-level introduction to quantitative concepts and methods in the science of living systems. It relies on a systems approach for understanding the physical principles operating in biology. Physical phenomena are treated at the appropriate spatio-temporal scale and phenomenological equations are used in order to reflect the system of interest. Biological details enter to the degree necessary for understanding specific processes, but in many cases the approach is not reductionist. This is in line with the approach taken by physics to many other complex systems.The book bridges the gap between graduate students¿ general physics courses and research papers published in professional journals. It gives students the foundations needed for independent research in biological physics and for working in collaborations aimed at quantitative biology and biomedical research. Also included are modern mathematical and theoretical physics methods, giving the student a broad knowledge of tools that can shed light on the sophisticated mechanisms brought forth by evolution in biological systems. The content covers many aspects that have been the focus of active research over the past twenty years, reflecting the authors' experience as leading researchers and teachers in this field.

This book aims to highlight the latest achievements in the use of AI in personalized medicine and healthcare delivery. The edited book contains selected papers presented at the 2023 Health Intelligence workshop, co-located with the Thirty-Seven Association for the Advancement of Artificial Intelligence (AAAI) conference, and presents an overview of the issues, challenges, and potentials in the field, along with new research results. This book provides information for researchers, students, industry professionals, clinicians, and public health agencies interested in the applications of AI in medicine and public health.

This book reviews work that covers everything from basic chemistry to advanced applications. Chitin and chitosan are used in a plethora of applications from wastewater treatment to prosthetics. After introducing the subject of polysaccharides as a whole, the authors turn to the preparation of chitin and chitosan and the characterization of the latter. The book provides information on chitin chemistry, extraction of chitin, chitosan preparation processes, and the applications of their derivatives in various fields. Among the applications that are included in detail are the adsorption of heavy metals for pollution prevention and clean-up, biosensors, cosmetics, various medical applications from anti-tumor activity to bone tissue engineering, agriculture and food production, and proton exchange membranes for fuel cells.Chitin and Chitosan features:*  information on molecular structure, synthesis, properties, and latest research related to chitin and chitosan;*  coverage of a wide range of topics from the properties of chitosan to its derivatives and applications;*  in-depth information on biomedical applications of chitin and chitosan; and*  information that can be applied to other biopolymer processing engineering areas.This book will be of interest to practitioners working in a wide variety of industries for which chitin and chitosan are useful materials, researchers in biosensors and heavy-metal adsorption, and to academic researchers investigating the properties, preparation, and uses of these materials.

This contributed volume reviews the latest advances in all the new technologies currently developed for MagnetoEncephaloGraphy (MEG) recordings, as well as sensor technologies and integrated sensor arrays for on-scalp MEG. The book gives an account of the first MEG imaging studies and explores the new field of feasible, experimental paradigms of on-scalp MEG. This is an ideal book for engineers, researchers, and students in the neurosciences interested in MEG imaging. 

This updatable reference work gives a comprehensive overview of all relevant regulatory information and requirements for manufacturers and distributors around medical and in-vitro diagnostic devices in Europe. These individual requirements are presented in a practice-oriented manner, providing the reader with a concrete guide to implementation with main focus on the EU medical device regulations, such as MDR 2017/745 and IVD-R 2017/746, and the relevant standards, such as the ISO 13485, ISO 14971, among others. This book offers a good balance of expert knowledge, empirical values and practice-proven methods. Not only it provides readers with a quick overview about the most important requirements in the medical device sector, yet it shows concrete and proven ways in which these requirements can be implemented in practice. It addresses medical manufacturing companies, professionals in development, production, and quality assurance departments, and technical and medicalstudents who are preparing themselves for a professional career in the medical technlogy industries.

Computational and Network Modeling of Neuroimaging Data provides an authoritative and comprehensive overview of the many diverse modeling approaches that have been fruitfully applied to neuroimaging data. As neuroimaging is witnessing a massive increase in the quality and quantity of data being acquired, this book gives an accessible foundation to the field of computational neuroimaging, suitable for graduate students, academic researchers, and industry practitioners who are interested in adopting or applying model-based approaches in neuroimaging. It is widely recognized that effective interpretation and extraction of information from complex data requires quantitative modeling. However, modeling the brain comes in many diverse forms, with different research communities tackling different brain systems, different spatial and temporal scales, and different aspects of brain structure and function. This book takes a critical step towards synthesizing and integrating across different modeling approaches.

Bioactive Materials for Soft Tissue Regeneration covers human tissue and its classification as hard tissue such as bone and soft tissue like skin, muscle, tendon, blood vessel, nerve etc., and including organs such as heart, liver, lung. Regenerative medicine deals with both hard tissue and soft tissue regeneration and is one of the most important part of the modern medicine with significant clinical needs including general surgery, plastic surgery, burn and wound healing, cardiovascular disease treatments. Based on the authors' previous research and review of the international advances in hard tissue regeneration, this book focuses on the hard tissue regeneration using bioactive materials. Sections cover biomaterials for entire human tissue regeneration, which is key important for research and development in the field of biomedical engineering and the medical device industry. Readers will find this to be a comprehensive review of the most updated advances of the research in bioactive materials for soft tissue repair and regeneration, along with perspectives for future directions of research and development in this field.

This book provides examination of applications of soft computing techniques related to healthcare systems and can be used as a reference guide for assessing the roles that various techniques, such as machine learning, fuzzy logic, and statistical mathematics, play in the advancements of smart healthcare systems.

This book provides a systematic coverage of research into medical and biotextiles based on nanomaterials as applicable in healthcare. Divided into three sections, it explains manufacturing, properties, types, and recent developments in nanotechnology based medical textiles backed by case studies.

This book provides a broad range of applications and recent advances in the search for biofilm materials in nature. It also explains the future implications for biofilms in the areas of advanced molecular genetics, pharmaceuticals, pharmacology, and toxicology. This book is comprised of 20 chapters from leading experts in the field and it examines immunology and microbiological studies derived from biofilms as well as explores environmental, agricultural, and chemical impacts on biofilms. It is divided into five subdivisions: biofilms and its complications, biofilm infections in human body, detection of biofilm-forming pathogens, antibiofilm chemotherapy, and biofilms production tools in aquaculture. This book may be used as a text or reference for everyone interested in microbial biofilms and their current applications. It is also highly recommended for environmental microbiologists, medical microbiologists, bioremediation experts, and microbiologists working in biocorrosion, biofouling, biodegradation, water microbiology, quorum sensing, and many other related areas. Scientists in academia, research laboratories, and industry will also find it of interest. This book includes chapter homework problems and case studies. Powerpoints are also available for adopting instructors.Discusses and clarifies the resource of isolation and chemical properties from biofilmsDiscusses the latest pharmaceutical, pharmacological, and medicinal approaches toward the treatment of chronic and uncured diseases, such as Alzheimer's osteoporotic, sexual dysfunction, sleep sickness, allergy treatment, asthma, hair loss, AIDS, hypertension, antiaging, etc. Examines immunology and microbiological studies derived from biofilms Explores environmental, agricultural, and chemical impacts on biofilms.Dr. Bakrudeen Ali Ahmed Abdul is an Associate Professor, the Head of the Department of Biochemistry and Dean of the School of Life Sciences, Centre for Research and Development (CRD), PRIST Deemed University, Vallam, Thanjavur, Tamil Nadu, India. His research areas include the application of plant biochemistry, bioactive compound production, biotechnological methods, development of pharmaceutical products and pharmacological studies.

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.

Brain and Behavior Computing offers insights into the functions of the human brain. This book provides an emphasis on brain and behavior computing with different modalities available such as signal processing, image processing, data sciences, statistics further it includes fundamental, mathematical model, algorithms, case studies, and future research scopes. It further illustrates brain signal sources and how the brain signal can process, manipulate, and transform in different domains allowing researchers and professionals to extract information about the physiological condition of the brain. Emphasizes real challenges in brain signal processing for a variety of applications for analysis, classification, and clustering. Discusses data sciences and its applications in brain computing visualization. Covers all the most recent tools for analysing the brain and it's working.Describes brain modeling and all possible machine learning methods and their uses.Augments the use of data mining and machine learning to brain computer interface (BCI) devices.Includes case studies and actual simulation examples.This book is aimed at researchers, professionals, and graduate students in image processing and computer vision, biomedical engineering, signal processing, and brain and behavior computing.

Sporttechnologische Tools und Innovationen erhalten im Breiten-, Leistungs- und Gesundheitssport eine immer größere Bedeutung. Sporttechnologie bezieht sich auf die Anwendung wissenschaftlicher und technischer Prinzipien sowie innovativer Technologien, um sportliche Leistung zu verbessern, die Sicherheit zu erhöhen und somit das gesamte Sporterlebnis zu optimieren. Dabei geht es um das Design, die Entwicklung sowie den Einsatz von Ausrüstung, Geräten, Systemen und Software, speziell für sportliche Zwecke.Dieses Lehrbuch möchte der breiten Vielfalt der Sporttechnologie gerecht werden, indem mehr als 30 Autorinnen und Autoren aus ihrem Spezialgebiet berichten und neuste Erkenntnisse prägnant zusammenfassen. Das Werk gliedert sich in fünf Hauptabschnitte: Daten-Erfassungssysteme, Sportgeräte und Materialien, Diagnostik, Evaluation und Kommunikation sowie Ausgewählte Anwendungsfelder. Studierende mit Bezug zur Sportwissenschaft erhalten einen umfassenden Einblick in die Sporttechnologie, unterstützt durch ein didaktisch ausgefeiltes Konzept, das eine einfache Vermittlung der Lerninhalte ermöglicht. Digitale Lernkarten (SN Flashcards) untermauern den Lerneffekt und gewährleisten eine optimale Prüfungsvorbereitung. Für Fortgeschrittene bietet die vertiefende Diskussion von Themen wie Tracking Daten, digitalen Trainingsassistenten, Sportbodeneigenschaften, virtuelle Realität im Sport, Smartphone Apps und Diagnostik-Tools einen zusätzlichen Mehrwert.

This book reviews the development of physics-based modeling and sensor-based data fusion for optimizing medical decision making in connection with spatiotemporal cardiovascular disease processes. To improve cardiac care services and patients¿ quality of life, it is very important to detect heart diseases early and optimize medical decision making. This book introduces recent research advances in machine learning, physics-based modeling, and simulation optimization to fully exploit medical data and promote the data-driven and simulation-guided diagnosis and treatment of heart disease. Specifically, it focuses on three major topics: computer modeling of cardiovascular systems, physiological signal processing for disease diagnostics and prognostics, and simulation optimization in medical decision making. It provides a comprehensive overview of recent advances in personalized cardiac modeling by integrating physics-based knowledge of the cardiovascular system with machine learning and multi-source medical data. It also discusses the state-of-the-art in electrocardiogram (ECG) signal processing for the identification of disease-altered cardiac dynamics. Lastly, it introduces readers to the early steps of optimal decision making based on the integration of sensor-based learning and simulation optimization in the context of cardiac surgeries. This book will be of interest to researchers and scholars in the fields of biomedical engineering, systems engineering and operations research, as well as professionals working in the medical sciences.

Photobiomodulation for the Brain: Photobiomodulation Therapy in Neurology and Neuropsychiatry collects scientific evidence covering a broad range of topics, including the optimum dosimetry, treatment regimens, irradiation sites, irradiance and fluence, treatment times, and possible side effects of this neuromodulation therapy. Over the past two decades, brain photobiomodulation (PBM) therapy has been introduced as an innovative modality for stimulating neural activity to improve brain function and is predicted to become a promising strategy for neurorehabilitation in the coming years. This book introduces PBM therapy to the worldwide medical community, providing worthwhile scientific insights and promoting the acceptance of this field among neurologists, psychiatrists, neurorehabilitation practitioners, and physiotherapists, as well as neuroscience clinicians and researchers. From a physics point of view, scientists in the photonics, medical physics, and light-dosimetry fields will also benefit from the book.

This book focuses on current and innovative technologies in perinatal medicine, specifically the period from the third trimester of pregnancy up to one month after birth. It follows the Second International Summer School on Technologies and Signal Processing in Perinatal Medicine (TSPPM 2021) and includes a number of the master lectures presented at the school. The book aims to provide an overview of current data processing and machine learning approaches, with clear indications and exhaustive presentations on research trends in the field, written by top scientists and researchers. It also presents the underlying clinical aspects and ethico-legal issues associated with the adoption of these technologies, particularly artificial intelligence tools. Innovative Technologies and Signal Processing in Perinatal Medicine: Volume 2 provides students, researchers, and practitioners with the knowledge necessary to carry out basic and applied research on the development of perinatal medicine medical devices with a particular emphasis on software design and development.

This book is dedicated to showcase research and innovation in smart healthcare systems and technologies led by women scientists, researchers, and practitioners. With the advent of artificial intelligence (AI) and related technologies, the healthcare sector has undergone tremendous changes in practice and management in recent years. On par to men, women have made significant contributions to tackle a variety of healthcare problems, creating smarter paradigms to provide effective and efficient solutions for patients and stakeholders. The book presents a small collection of contributions by outstanding women in STEM (Science, Technology, Engineering and Mathematics) education, focusing on the healthcare domain. The selected articles allow readers to comprehend current advances in AI and other methods for undertaking healthcare challenges. It is envisaged that the inspiring work by prominent women scientists, researchers, and practitioners reported inthis book offers a beacon to propel women in pursuing STEM education and advancing the healthcare sector for the benefits of humankind.

This book presents contributions from the MICCAI 2022 Computational Biomechanics for Medicine Workshop. "Computational Biomechanics for Medicine - towards translation and better patient outcomes¿ comprises papers accepted for the MICCAI Computational Biomechanics for Medicine Workshop held in 2022 in Singapore. The content focuses on applications of computational biomechanics to computer-integrated medicine, which includes MICCAI topics of Medical Image Computing, Computer-Aided Modeling and Evaluation of Surgical Procedures, and Imaging, Analysis Methods for Image Guided Therapies, Computational Physiology, and Medical Robotics. Specific topics covered include medical image analysis, image-guided surgery, surgical simulation, surgical intervention planning, disease prognosis and diagnostics, analysis of injury mechanisms, implant and prostheses design, as well as artificial organ design and medical robotics. This book details state-of-the-art progress in the above fields to researchers, students, and professionals.