Technology-Assisted Physical Gait Rehabilitation: How Robotics, Data Science, and Neuroscience are Changing Modern Physical Therapy explores computational modeling techniques, robotic assistance, data science, and other technological tools and how they can be jointly used in driving and guiding physical gait therapy in impairments such as stroke, traumatic brain injury, and incomplete spinal cord injury. This book gathers experts in robotics, human biomechanics, physical therapy, neuroscience, engineering, and medicine, presenting their ongoing work and discusses their views of the future direction of technology-assisted gait therapy, showcasing the latest advancements in the interdisciplinary and multidisciplinary field of technology-assisted gait therapy and strives to outline the developments in the coming years that are needed/likely to make the next big breakthrough in the field.
Robot Design: Application to Medical Robotics offers a blend of theory and applications, with a focus on robot design to aid researchers in developing innovative robotic solutions in the healthcare domain. The book addresses this evolutionary journey by amalgamating various fields of expertise, guiding readers through fundamental concepts using real-world requirements and applications. Chapters are authored by experts in collaboration with clinicians and specialists from specific areas, spanning the technical realm (mechanics of machinery, control theory, informatics, mechatronics) to the clinical sphere (surgery, sonography, rehabilitation therapy).This book serves as an excellent reference for young professionals and researchers, providing an overview of the most significant aspects of medical robotics and guiding them towards the most suitable approaches for robot design.
Biomechanics of the Human Spine: Basic Concepts, Spinal Disorders and Treatments, Second Edition, features several enhancements. The core structure of the book remains unchanged, focusing on four distinct parts that should be read consecutively to provide a comprehensive understanding of spine biomechanics. In the first part, the book delves into the functional anatomy of the spine, with a special emphasis on aspects that are often overlooked in clinical literature but hold great biomechanical significance. The second part is dedicated to explaining the mechanics of individual spinal tissues. It covers commonly used testing setups and the mathematical models employed to represent these tissues in mathematical studies. The third part covers the contemporary methods employed in spine research, encompassing experimental testing, numerical simulation, and in vivo studies including imaging and motion analysis. The fourth and final part of the book emphasizes the biomechanical aspects of spinal pathologies and their surgical treatments, areas often lacking in biomechanical rigor. This book is an invaluable resource for biomedical engineers involved in spine biomechanics and for spinal surgeons seeking to broaden their biomechanical knowledge base. The book draws contributions from leading institutions worldwide, ensuring the latest research and expertise in the field of spine biomechanics.
Data-Driven Diagnostics and Disease Prediction with AI Optimization provides useful insights into model creation, data preparation, and ethical issues for healthcare applications. This book covers all the conventional and non-conventional methods related to this domain. It also discusses AI-based optimization techniques, Machine Learning models, and Advanced AI. It offers practical insights, case studies, and optimization strategies to help data scientists, and researchers efficiently employ AI in diagnostics and illness prediction in a world where precise diagnostics and early illness prediction may save lives and healthcare resources.
Footwear Innovation: From Conceptual Design through to Advanced Manufacturing Techniques provides a comprehensive collection of technical notes, research designs, design methods and processes, case studies, and comprehensive literature on the industrial-technological advancements in footwear. This book is explained in six parts. Part 1 initiates the journey by unraveling the intricacies of foot problems, delving into the biomechanics and deformities of the foot, while employing machine learning to discern users' needs. Part 2 explores the realm of ideation and design methods, unlocking the creative prowess of footwear designers through methodologies like brainstorming, mind-mapping, and 5W analysis. In Part 3, the spotlight shifts to cutting-edge methods and tools, advocating for the integration of Reverse Engineering, CAD/CAS/CAE, Augmented/Virtual Reality, and Artificial Intelligence to optimize the design process. Part 4 explains the technological tapestry of footwear manufacturing, shedding light on 3D printing materials, robotics-based production, and the evolving landscape of footwear technology. Part 5 unravels the critical domain of risk assessment and usability testing, elucidating the role of advanced technologies in evaluating forces, pressure, and moments on footwear. The journey concludes with Part 6, exploring sustainability and entrepreneurship in the footwear sector, encouraging innovation and transformative solutions.
Pharmacological fMRI: Methods and Applications give a comprehensive survey of the cutting-edge field of pharmacological fMRI - the use of functional Magnetic Resonance Imaging to investigate the effects of drugs on the brain. It introduces the basic concepts, focusing on methodological topics and issues, and gives a summary of current research focused on particular drugs, clinical conditions, or drug classes (including psychedelics, pain, anti-depressants). It concludes by pointing the way forward by outlining current challenges in the field and how they might be resolved. Pharmacological fMRI: Methods and Applications provides the student and researcher with a complete picture of the current methods and applications in pharmacological fMRI, enabling them to apply the principles and approaches to their own work. Reflecting the cross disciplinary nature of the field, this book is suitable for students and researchers in the fields of biomedical engineering, pharmacology, neuroscience, clinical medicine, and psychology.
Feedback Control and Adaptive Learning in Optical-Tweezer Robotics is structured to provide a comprehensive understanding of the integration of robotic feedback control with optical trapping techniques in the field of cell manipulation. It begins by establishing foundational knowledge in dynamic modeling and control theory, laying the groundwork for readers to grasp the intricacies of optical-tweezer robotics. The text then delves into the specifics of optical trapping principles, elucidating the constraints and challenges associated with traditional approaches. It includes the design and implementation of a unified control methodology capable of dynamically adapting to cell movement and escape scenarios. The book emphasizes closed-loop control strategies, enabling readers to navigate the complex interplay between optical forces and robotic manipulation. Additionally, adaptive learning algorithms are explored, offering readers insights into real-time adjustments where the trapping stiffness is unknown. It further addresses open challenges, including overcoming limited field of view, rejecting stochastic disturbances, and efficiently handling the simultaneous trapping and manipulation of multiple cells. Throughout the book, open-access simulations and real-world experiments are integrated to reinforce theoretical concepts. This provides readers with tangible examples and a deeper appreciation for the potential impact of this unified approach in areas such as biomedicine, biotechnology, and microscale robotics.
Machine Learning in MRI: From Methods to Clinical Translation, Volume Thirteen in theAdvances in Magnetic Resonance Technology and Applications series presents state-of-the-art machine learning methods in magnetic resonance imaging that can shape and impact the future of patient treatment and planning. Common methods and strategies along the processing chain of data acquisition, image reconstruction, image post-processing, and image analysis of these imaging modalities are presented and illustrated. The book focuses on applications and anatomies for which machine learning methods can bring, or have already brought. Ideas and concepts on how processing could be harmonized and used to provide deployable frameworks that integrate into the clinical workflows are also considered.Pitfalls and current limitations are discussed in the context of how they could be overcome to cater for clinical needs, making this an ideal reference for medical imaging researchers, industry scientists and engineers, advanced undergraduate and graduate students, and clinicians. By giving an interdisciplinary presentation and discussion on the obstacles and possible solutions for the clinical translation of machine learning methods, this book enables the evolution of machine learning in medical imaging for the next decade.
3D Printing for Biomedical Engineering: Additive Manufacturing Processes, Properties, and Applications combines cutting-edge research developments with fundamental concepts related to processing, properties, and applications of advanced additive manufacturing technology in the medical field. State-of-the-art 3D bioprinting techniques such as the manufacturing of mini-organs for new drug testing as an alternative to animal testing are covered, as are reverse engineering techniques for the improvement of additive manufactured biomedical products. The book starts with chapters introducing readers to currently available additive manufacturing techniques for biomedical prototypes, along with design, development, process, and parameter considerations for these methods.Following chapters cover the mechanical, thermal, electrical, and optical properties of 3D printed biomedical prototypes. The next section of the book discusses 3D printing in different biomedical fields, such as in heart surgery, intervertebral disc implants, dentistry, facial reconstructive surgery, oral surgery, spinal surgery, and more. The book concludes with a section outlining immediate and future challenges in the field as well as related environmental and ethical issues.
Video Health Monitoring in Hospitals discusses the emergence of camera-based, contactless physiological measurement as a groundbreaking solution in healthcare monitoring. The book highlights the technology's non-invasiveness, capacity for continuous and long-term monitoring, and its ability to capture not only vital signs but also contextual information and behaviors. A unique aspect of this book is its rich set of compelling healthcare applications that will attract broader audiences (including researchers, engineers, clinicians, and students) from multidisciplinary fields.Finally, the book discusses the role of artificial intelligence in enhancing healthcare applications and aims to engage the healthcare industry in adopting this innovative approach to improve patient care and outcomes.