Biomedicinsk teknik

Total Knee Arthroplasty: Medical and Biomedical Engineering and Science Concepts provides an extensive overview of the most recent advancements in total knee arthroplasty (TKA) through a thorough review of the literature in medicine, engineering, and technology. Coverage includes the most recent engineering and computing techniques, such as robotics, biomechanics, artificial intelligence (AI), deep learning (DL), machine learning (ML), and optimization, as well as the medical and surgical aspects of pre-existing conditions, surgical procedure types, surgical complications, patient care, and psychological factors. This book will be a valuable introduction to TKA concepts and advances for academics, students, and researchers.

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 virusinfection 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.

The textbook describes the complexity of the human dynamic behavior in space and its ability to produce coordinated, adaptive, dynamically stable movements under steady conditions while negotiating complex terrains and experiencing unexpected perturbations. Applying fundamental theories of biomechanics and physiology, the authors further consider the physical, perceptual, and motor aspects of the locomotor system towards the analysis of how humans can behave adaptively in space by virtue of their intelligent sensory-motor functions and to illuminate our understanding of how this complexity in behavior can provide insight into the neural control of locomotion of the musculoskeletal system. The text provides a foundation for describing the normal and abnormal human locomotor systems.¿ The Human Locomotor System: Physiological and Technological Foundations is intended as a primary text for upper-undergraduate and graduate-level courses in neuroscience, gait analysis, kinesiology, physical therapy, sports science, and biomedical and rehabilitation engineering. It is also a valuable professional reference for scientists and engineers at medical and pharmaceutical companies involved in bioengineering research and development.

This book focuses on the use of artificial intelligence (AI) and computational intelligence (CI) in medical and related applications. Applications include all aspects of medicine: from diagnostics (including analysis of medical images and medical data) to therapeutics (including drug design and radiotherapy) to epidemic- and pandemic-related public health policies.Corresponding techniques include machine learning (especially deep learning), techniques for processing expert knowledge (e.g., fuzzy techniques), and advanced techniques of applied mathematics (such as innovative probabilistic and graph-based techniques).The book also shows that these techniques can be used in many other applications areas, such as finance, transportation, physics. This book helps practitioners and researchers to learn more about AI and CI methods and their biomedical (and related) applications¿and to further develop thisimportant research direction.

Cosmetic and Reconstructive Facial Plastic Surgery: Medical and Biomedical Engineering and Science Concepts provides an extensive overview of the most recent technological advancements in facial plastic and reconstructive surgeries and head and neck surgery through a thorough review of the literature in biomedical engineering, technology, and medicine. Coverage includes the most recent engineering and computing techniques, such as robotics, biomechanics, artificial intelligence (AI), deep learning (DL), machine learning (ML), and optimization, as well as the medical and surgical aspects of medical and scientific methods, surgical and non-surgical procedure types, complications, patient care, and psychological factors. This book will be a valuable introduction to concepts and advances for otorhinolaryngology, biomedical researchers, academics, and students.

This book presents research on how interpretable cognitive IoT can work to help with the massive amount of data in the healthcare industry. The authors give importance to IoT systems with intense machine learning features; this ensures the scope corresponds to use of cognitive IoT for understanding, reasoning, and learning from medical data. The authors discuss the interpretability of an intelligent system and its trustworthiness as a smart tool in the context of massive healthcare applications. As a whole, book combines three important topics: massive data, cognitive IoT, and interpretability. Topics include health data analytics for cognitive IoT, usability evaluation of cognitive IoT for healthcare, interpretable cognitive IoT for health robotics, and wearables in the context of IoT for healthcare. The book acts as a useful reference work for a wide audience including academicians, scientists, students, and professionals.

This book is based on the 18 tutorials presented during the 30th workshop on Advances in Analog Circuit Design. Expert designers present readers with information about a variety of topics at the frontier of analog circuit design, with specific contributions focusing on analog circuits for machine learning, current/voltage/temperature sensors, and high-speed communication via wireless, wireline, or optical links. This book serves as a valuable reference to the state-of-the-art, for anyone involved in analog circuit research and development.

This book offers readers a series of robotic methods for manipulating zebrafish larva, one of the most popular model vertebrates widely used in biomedical research and clinical applications. The authors leverage advanced control theories, image processing algorithms, and artificial intelligence to establish a robot-assisted automated or semi-automated zebrafish larva-targeted micromanipulation system for different experimental purposes. The methods presented are generic and can be translated to manipulate other types of biological objects, such as embryos or cells. Coverage includes topics that span the procedures of manipulating zebrafish larva, such as in-plane positioning, three-dimensional orientation, deformation-controllable immobilization, organ-targeted microinjection, whole-organism imaging, and high-throughput trajectory tracking of zebrafish larvae group movement.Robotic Micromanipulation of Zebrafish Larva is written in a simple, clear, and easy-to-read style. It is an ideal reference for academic researchers and biomedical operators. It is also a valuable resource for students learning robotics, control and system theories, image processing, artificial intelligence, and biomedical engineering.

Biomedical signals provide unprecedented insight into abnormal or anomalous neurological conditions. The computer-aided diagnosis (CAD) system plays a key role in detecting neurological abnormalities and improving diagnosis and treatment consistency in medicine. This book covers different aspects of biomedical signals-based systems used in the automatic detection/identification of neurological disorders. Several biomedical signals are introduced and analyzed, including electroencephalogram (EEG), electrocardiogram (ECG), heart rate (HR), magnetoencephalogram (MEG), and electromyogram (EMG). It explains the role of the CAD system in processing biomedical signals and the application to neurological disorder diagnosis. The book provides the basics of biomedical signal processing, optimization methods, and machine learning/deep learning techniques used in designing CAD systems for neurological disorders.

Digital Technology in Public Health and Rehabilitation Care: COVID Era provides an in-depth examination on how digital technology has impacted public health and rehabilitation during the COVID-19 pandemic. The book showcases the range of digital technology applications utilized in healthcare, including the use of mobile phones, computers, wearable and non-wearable technologies, sensors, 3D printers, robotics, Artificial Intelligence (AI), internet technologies, websites and apps, virtual and augmented realities, and computer games. With a wealth of case studies and insights, this book is an essential resource on the impact of digital technology on public health and rehabilitation services in the COVID-19 era. The COVID-19 pandemic had a major impact on the rehabilitation services available to those in need, particularly for older adults, people with physical and cognitive impairments, children with autism and ADHD, and individuals with physical and mental health disorders. In response to these challenges, the book focuses on the potential for advanced digital technologies to revolutionize public health and rehabilitation services, highlighting the need for researchers and healthcare professionals to work together to promote digital-based interventions.

The Handbook of Bioethical Decisions is aimed at addressing and analyzing the most important ethical concerns and moral quandaries arisen in biomedical and scientific research. As such, it identifies and problematizes on a comprehensive range of ethical issues researchers must deal with in different critical contexts. Thus, the Handbook, Vol. I, may be helpful for them to make decisions and deliberate in complex practical scenarios. In this fashion, the volume reunites different points of view to give readers room enough to get a better knowledge and take their own position on pressing bioethical issues of the day. Consequently, this work seeks to engender dense ethical epistemology scientists can count on when conducting latest generation biomedical research. By bringing together an impressive array of contributions on the most important elements and categories for ¿at the bench¿ bioethical decisions as well as offering chapters by some of the most world renowned and prominent experts in bioethics, the Handbook, Vol. I, is a paradigmatic text in its area and a valuable resource for courses on bioethics, and biomedical research, as well as courses that discuss ethics and the biosciences at different professional levels, biomedical industry, pharmacological companies and the public sphere in general.

This book offers a comprehensive and timely overview of the latest developments in the field of biomechanics and extensive knowledge of tissue structure, function, and modeling. Gathering chapters written by authoritative scientists, it reports on a range of continuum and computational models of solids, and related experimental works, for biomechanical applications. It discusses cutting-edge advances such as constitutive modeling and computational simulation of biological tissues and organs under physiological and pathological conditions, and their mechanical characterization. It covers  innovative studies on arteries, heart, valvular tissue, and thrombus, brain tumor, muscle, liver, kidney, and stomach, among others. Written in honor of Professor Gerhard A. Holzapfel,  the book provides specialized readers with a thorough and timely overview of different types of modeling in biomechanics, and current knowledge about biological structures and function.

This book presents high-quality peer-reviewed papers from the International Conference on Electronics, Biomedical Engineering, and Health Informatics (ICEBEHI) 2021 held at Surabaya, Indonesia, virtually. The contents are broadly divided into three parts: (i) electronics, (ii) biomedical engineering, and (iii) health informatics. The major focus is on emerging technologies and their applications in the domain of biomedical engineering. It includes papers based on original theoretical, practical, and experimental simulations, development, applications, measurements, and testing. Featuring the latest advances in the field of biomedical engineering applications, this book serves as a definitive reference resource for researchers, professors, and practitioners interested in exploring advanced techniques in the field of electronics, biomedical engineering, and health informatics. The applications and solutions discussed here provide excellent reference material for future product development.

Design, Characterization and Fabrication of Polymer Scaffolds for Tissue Engineering covers core elements of scaffold design, from properties and characterization of polymeric scaffolds to fabrication techniques and the structure-property relationship. Particular attention is given to the cell-scaffold interaction at the molecular level, helping the reader understand and adapt scaffold design to improve biocompatibility and function. The book goes on to discuss a range of tissue engineering applications for polymeric scaffolds, including bone, nerve, cardiac and fibroblast tissue engineering. This is an important, interdisciplinary work of relevance to materials scientists, polymer scientists, biomedical engineers, and those working regenerative medicine.

The purpose of this book is to highlight some of latest developments and applications of CRISPR, RNA, and DNA to treat diseases ranging from cancers to cardiovascular and degenerative disorders. It also features innovations of the delivery methods for nucleic acids ranging from nanodevices made from DNA and pseudo amino acids to viral vectors. This is an ideal book for academics, clinicians, and students interested in gene therapy.

This book presents the proceedings of the "e;Innovations in Biomedical Engineering IBE'2016"e; Conference held on October 16-18, 2016 in Poland, discussing recent research on innovations in biomedical engineering. The past decade has seen the dynamic development of more and more sophisticated technologies, including biotechnologies, and more general technologies applied in the area of life sciences. As such the book covers the broadest possible spectrum of subjects related to biomedical engineering innovations. Divided into four parts, it presents state-of-the-art achievements in:*  engineering of biomaterials,*  modelling and simulations in biomechanics,*  informatics in medicine*  signal analysis The book helps bridge the gap between technological and methodological engineering achievements on the one hand and clinical requirements in the three major areas diagnosis, therapy and rehabilitation on the other. 

Intelligent Computing Techniques in Biomedical Imaging: Methods, Case Studies, and Applications provides comprehensive and state-of-the-art applications of Computational Intelligence techniques used in biomedical image analysis for disease detection and diagnosis. The book offers readers a stepwise approach from fundamental to advanced techniques using real-life medical examples and tutorials. The editors have divided the book into five sections, from prerequisites to case studies. Section I presents the prerequisites, where the reader will find fundamental concepts needed for advanced topics covered later in this book. This primarily includes a thorough introduction to Artificial Intelligence, probability theory and statistical learning. The second section covers Computational Intelligence methods for medical image acquisition and pre-processing for biomedical images. In this section, readers will find AI applied to conventional and advanced biomedical imaging modalities such as X-rays, CT scan, MRI, Mammography, Ultrasound, MR Spectroscopy, Positron Emission Tomography (PET), Ultrasound Elastography, Optical Coherence Tomography (OCT), Functional MRI, Hybrid Modalities, as well as pre-processing topics such as medical image enhancement, segmentation, and compression. Section III covers description and representation of medical images. Here the reader will find various categories of features and their relevance in different medical imaging tasks. This section also discusses feature selection techniques based on filter method, wrapper method, embedded method, and more. The fourth section covers Computational Intelligence techniques used for medical image classification, including Artificial Neural Networks, Support Vector Machines, Decision Trees, Nearest Neighbor Classifiers, Random Forest, clustering, extreme learning, Convolution Neural Networks (CNN), and Recurrent Neural Networks. This section also includes a discussion of computer aided diagnosis and performance evaluation in radiology. The final section of Intelligent Computing Techniques in Biomedical Imaging provides readers with a wealth of real-world Case Studies for Computational Intelligence techniques in applications such as neuro-developmental disorders, brain tumor detection, breast cancer detection, bone fracture detection, pulmonary imaging, thyroid disorders, imaging technologies in dentistry, diagnosis of ocular diseases, cardiovascular imaging, and multimodal imaging.

Bioprocess Engineering Principles, Third Edition provides a solid introduction to bioprocess engineering for students with a limited engineering background. The book explains process analysis from an engineering perspective using worked examples and problems that relate to biological systems. Application of engineering concepts is illustrated in areas of modern biotechnology, such as recombinant protein production, bioremediation, biofuels, drug development, and tissue engineering, as well as microbial fermentation. With new and expanded material, this remains the book of choice for students seeking to move into bioprocess engineering

This book presents a novel method for the numerical simulation of swimming animals. It includes a review of the hydrodynamics of swimming, a description of the CFD model adopted, and a description of the results obtained by applying this model to the cownose ray. This method is developed for the open-source software OpenFOAM and relies on an overset mesh. A custom library is added to the solver to include the equations of the kinematics of the animal under investigation, combining the deformation of the fish fins with the computed displacement and rotation of the animal's body. The presented method helps investigate the dynamics of any animal moving in a fluid, provided that its kinematics is known, and in this work, it is applied to investigate the hydrodynamics of a cownose ray. This book is intended for researchers and engineers who aim to deeply understand the hydrodynamics of fish swimming and to design bioinspired autonomous underwater vehicles or novel propulsion systems.

The book Intelligent Healthcare: Infrastructure, Algorithms, and Management(R) cover a wide range of research topics on innovative intelligent healthcare solutions and advancements with the latest research developments.  Data analytics are relevant for healthcare to meet many technical challenges and issues that need to be addressed to realize this potential. The advanced healthcare systems have to be upgraded with new capabilities such as data analytics, machine learning, intelligent decision making, and more professional services. The Internet of Things helps to design and develop intelligent healthcare solutions assisted by security, data analytics, and machine learning.This book will provide federated learning, Data-driven infrastructure design, analytical approaches, and technological solutions with case studies for smart healthcare. This book aims to attract works on multidisciplinary research spanning across computer science and engineering, environmental studies, services, urban planning and development, Healthcare, social sciences, and industrial engineering on technologies, case studies, novel approaches, and visionary ideas related to data-driven innovative learning and computing solutions and big medical data-powered applications to cope with the real-world challenges for building smart healthcare sectors.Main Features:o  Immersive technologies in healthcareo  Internet of medical thingso  Federated learning algorithmso  Explainable AI in Pervasive Healthcareo  New management principles using biomedical datao  Secured healthcare management systemsThis book aims to set up a better understanding of data scientists, researchers, and technologists under innovative digital health. The reader can find out existing research challenges, current market trends, and low-cost technologies to smoothly address the digital health issue.

Practical Design and Applications of Medical Devices focuses on devices which receive and transmit bioelectric signals, such as electrocardiograph, electrodes, blood flow, blood pressure, physiological effects and, in some cases, current flowing through the human body. This thorough guide for researchers and engineers in the field of biomedical and instrumentation engineering presents a streamlined medical strategy for designing these medical devices, sensors, and tools. It also promotes operational efficiency in the healthcare industry, with the goals of improving patient safety, lowering overall healthcare costs, broadening access to healthcare services, and improving accessibility.

Computational Intelligence and Deep Learning Methods for Neuro-rehabilitation Applications explores the different possibilities of providing AI based neuro-rehabilitation methods to treat neurological disorders. The book provides in-depth knowledge on the challenges and solutions associated with the different varieties of neuro-rehabilitation through the inclusion of case studies and real-time scenarios in different geographical locations. Beginning with an overview of neuro-rehabilitation applications, the book discusses the role of machine learning methods in brain function grading for adults with Mild Cognitive Impairment, Brain Computer Interface for post-stroke patients, developing assistive devices for paralytic patients, and cognitive treatment for spinal cord injuries.Topics also include AI-based video games to improve the brain performances in children with autism and ADHD, deep learning approaches and magnetoencephalography data for limb movement, EEG signal analysis, smart sensors, and the application of robotic concepts for gait control.

Computational Intelligence and Modelling Techniques for Disease Detection in Mammogram Images comprehensively examines the wide range of AI-based mammogram analysis methods for medical applications. Beginning with an introductory overview of mammogram data analysis, the book covers the current technologies such as ultrasound, molecular breast imaging (MBI), magnetic resonance (MR), and Positron Emission mammography (PEM), as well as the recent advancements in 3D breast tomosynthesis and 4D mammogram. Deep learning models are presented in each chapter to show how they can assist in the efficient processing of breast images. The book also discusses hybrid intelligence approaches for early-stage detection and the use of machine learning classifiers for cancer detection, staging and density assessment in order to develop a proper treatment plan. This book will not only aid computer scientists and medical practitioners in developing a real-time AI based mammogram analysis system, but also addresses the issues and challenges with the current processing methods which are not conducive for real-time applications.

This book is a detailed, state-of-the-art account of the applications and uses of luminescence thermometry. It covers a wide range of fields, including biomedicine, biology, and catalysis. The book also explains the luminescence thermometric parameters used to sense temperature via luminescence with different materials, analyzing the different strategies used to improve thermal sensitivity and temperature resolution.The readers of this book are any researcher interested in the field, because of its topical coverage, as well as bachelor and graduate students, as an introduction to this novel field. The book ends with a general critical analysis of the results presented, where the editors discuss about the challenges and opportunities in the development of these highly sensitive new class of thermometers.

This unique book addresses the bioinformatic and statistical modelling and also the analysis of microbiome data using cutting-edge QIIME 2 and R software. It covers core analysis topics in both bioinformatics and statistics, which provides a complete workflow for microbiome data analysis: from raw sequencing reads to community analysis and statistical hypothesis testing. It includes real-world data from the authors¿ research and from the public domain, and discusses the implementation of QIIME 2 and R for data analysis step-by-step. The data as well as QIIME 2 and R computer programs are publicly available, allowing readers to replicate the model development and data analysis presented in each chapter so that these new methods can be readily applied in their own research. Bioinformatic and Statistical Analysis of Microbiome Data is an ideal book for advanced graduate students and researchers in the clinical, biomedical, agricultural, and environmental fields, as well as those studying bioinformatics, statistics, and big data analysis.

This two-volume book provides an enriching insight into the laser, covering different types of lasers, the basic science behind the technology, their role at the cutting-edge of current scientific research, and their wide-ranging applications. With just high school physics as a prerequisite and favoring qualitative yet scientifically sound explanations over high-level mathematics, this book is aimed at a broad spectrum of readers in physics, chemistry, engineering, medicine, and biology. Its engaging and lucid presentation is enhanced with plenty of illustrations, making the world of the laser accessible to undergraduate students in the sciences and any other inquisitive readers with high school physics under their belts. Furthermore, the text is often laced with anecdotes, picked from history, that are bound to pique the minds of the readers. It is ideal for self-study or as a complement to courses on optics and optoelectronics. This volume, Part 1 of 2, explains the fundamentals of optics, what a laser is, how it works, and what is unique about the light it emits, from fundamental quantum theory through population inversion and cavity to common laser types. It is followed by Part 2 which depicts the many advances in science enabled by the laser, including spectroscopy, nonlinear optics, optical cooling and trapping, and optical tweezers, among many others, and provides a glimpse into the ways that the laser affects our lives via its uses in medicine, manufacturing, the nuclear industry, energy, defence, communication, ranging, pollution monitoring, art conservation, fashion, beauty, and entertainment.

Bio-degradable polymers are rapidly emerging as a sustainable alternative to traditional petroleum-based plastics and polymers. However, the synthesis and processing of such polymers present unique challenges and opportunities. In this comprehensive volume, Dr. Saha and her team provide an in-depth exploration of the synthesis and processing of bio-degradable polymers and their emerging applications in various sectors from drug delivery to food packaging.Covering a wide range of topics, including synthesis, modification, processing techniques, and few of their advanced applications in emerging areas, this book provides a comprehensive overview of the field. The authors also delve into cutting-edge research on the synthesis, properties and applications of bio-degradable polymers in various fields, such as agricultural, food preservation, biomedical arena, energy storage and other advanced application areas.This volume is an essential resource for scientists, engineers, and policymakers interested in the future of sustainable materials. Whether you are a researcher looking to expand your knowledge of biodegradable polymer synthesis and processing or a policymaker interested in the potential of biodegradable polymers to reduce our reliance on fossil fuels, this book is an invaluable guide to the field.