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See below for a selection of the latest books from Biomedical engineering category. Presented with a red border are the Biomedical engineering books that have been lovingly read and reviewed by the experts at Lovereading. With expert reading recommendations made by people with a passion for books and some unique features Lovereading will help you find great Biomedical engineering books and those from many more genres to read that will keep you inspired and entertained. And it's all free!
Brings together basic facts about nutritional matters into a short textbook. Starting with basic nutrient requirements at different ages and assessment of nutritional status, this book covers numerous important aspects, like diet surveys, functions of different nutrients and result of their deficiencies in a growing child, construction of age appropriate diets and finally how to feed children with different nutritional disorders like anemia, obesity, iron and vitamin A deficiency, chronic diarrhea and food allergies. The therapeutic management of some common childhood problems have been highlighted in a very simple, straightforward and practical approach for all those involved in child care. The book succeeds in keeping a style which is readable and simple. The food items advised for various age groups are culturally acceptable and affordable. The issues regarding breastfeeding and its management add to the value of this compendium.
Cell Instructive Materials to Control and Guide Cell Function: Programmable Bioactive Interfaces looks at the key determinants of the dynamic interface between cell and materials and how this can be applied in developing new, bioactive biomaterials surfaces. The interface between cell and synthetic materials has attracted considerable scientific and technological interest, leading to the awareness that functional interfaces can actively guide and control specific adhesion and recognitions events.
A Dictionary of Biomedicine includes 10,000 A-Z entries on all areas of biomedicine. Entries are authoritative and wide-ranging, covering terms from the related areas of anatomy, genetics, molecular bioscience, pathology, pharmacology, and clinical medicine. Biomedicine - the study of molecular bioscience relating to disease - is playing an increasingly important role in medical application, diagnosis, and treatment. As molecular bioscience provides greater insights and techniques than ever before into the practice of modern medicine, there is an increasing need for an affordable dictionary covering the specialist language used within this evolving field. This dictionary, written by an expert in the field, fills this need by offering clear, concise definitions of even the most complex biomedical terms. Many entries feature recommended web links which are accessed and kept up to date via the Dictionary of Biomedicine companion webpage, and supplementary material includes the Greek Alphabet, SI Units and single letter codes for Amino Acids. Fully cross-referenced, it also features useful navigational entries for types of diseases and disorders - for example renal disorders - that list all related entries in the dictionary so the reader can find them quickly. Aimed primarily at molecular bioscientists, clinicians, and students of biomedical courses, the dictionary will also be an invaluable resource for patients and journalists wishing to find out more about a particular disease.
This book is the second in a series presenting articles that received the most citations in recent years in nanomedicine. The series is edited by, a prominent nanotechnology researcher and editor-in-chief of Precision Nanomedicine. The theme of the second volume is about nano-enabled medical applications. The 19 articles collected here have already acquired more than 12,500 citations highlighting the importance and professional recognition of the work of these scientists in nanomedicine. The content includes the general overview of the field and a wide variety of applications that have been impossible without nanoscience and nanotechnology.
This book presents a detailed discussion on the direct interactions of plants and microorganisms in the rhizosphere environment. It includes fifteen chapters, each focusing on a specific component of plant-microbe interactions, such as the influence of plants on the root microbiome, and the downstream effects of rhizosphere microbial dynamics on carbon and nutrient fluxes in the surroundings. As such, the book helps readers gain a better understanding of diversity above the ground, and its effect on the microbiome and its functionality.
Deep learning (DL) is a method of machine learning, running over artificial neural networks, that uses multiple layers to extract high-level features from large amounts of raw data. DL methods apply levels of learning to transform input data into more abstract and composite information. Handbook for Deep Learning in Biomedical Engineering: Techniques and Applications gives readers a complete overview of the essential concepts of DL and its applications in the field of biomedical engineering. DL has been rapidly developed in recent years, in terms of both methodological constructs and practical applications. DL provides computational models of multiple processing layers to learn and represent data with higher levels of abstraction. It is able to implicitly capture intricate structures of large-scale data and is ideally suited to many of the hardware architectures that are currently available. The ever-expanding amount of data that can be gathered through biomedical and clinical information sensing devices necessitates the development of machine learning and artificial intelligence techniques such as DL and convolutional neural networks to process and evaluate the data. Some examples of biomedical and clinical sensing devices that use DL include computed tomography (CT), magnetic resonance imaging (MRI), ultrasound, single photon emission computed tomography (SPECT), positron emission tomography (PET), magnetic particle imaging, electroencephalography/magnetoencephalography (EE/MEG), optical microscopy and tomography, photoacoustic tomography, electron tomography, and atomic force microscopy. Handbook for Deep Learning in Biomedical Engineering: Techniques and Applications provides the most complete coverage of DL applications in biomedical engineering available, including detailed real-world applications in areas such as computational neuroscience, neuroimaging, data fusion, medical image processing, neurological disorder diagnosis for diseases such as Alzheimer's, attention deficit hyperactivity disorder (ADHD), and autism spectrum disorder (ASD), tumor prediction, and translational multimodal imaging analysis.
Artificial Intelligence to Solve Pervasive Internet of Things Issues discusses standards and technologies and wide-ranging technology areas and their applications and challenges, including discussions on architectures, frameworks, applications, best practices, methods and techniques required for integrating AI to resolve IoT issues. Chapters also provide step-by-step measures, practices and solutions to tackle vital decision-making and practical issues affecting IoT technology, including autonomous devices and computerized systems. Such issues range from adopting, mitigating, maintaining, modernizing and protecting AI and IoT infrastructure components such as scalability, sustainability, latency, system decentralization and maintainability. The book enables readers to explore, discover and implement new solutions for integrating AI to solve IoT issues. Resolving these issues will help readers address many real-world applications in areas such as scientific research, healthcare, defense, aeronautics, engineering, social media, and many others.
Wearable Sensors: Fundamentals, Implementation and Applications has been written by a collection of experts in their field, who each provide you with an understanding of how to design and work with wearable sensors. Together these insights provide the first single source of information on wearable sensors that would be a fantastic addition to the library of any engineers working in this field. Wearable Sensors covers a wide variety of topics associated with development and applications of wearable sensors. It also provides an overview and a coherent summary of many aspects of wearable sensor technology. Both professionals in industries and academic researchers need this package of information in order to learn the overview and each specific technology at the same time. This book includes the most current knowledge on the advancement of light-weight hardware, energy harvesting, signal processing, and wireless communications and networks. Practical problems with smart fabrics, biomonitoring and health informatics are all addressed, plus end user centric design, ethical and safety issues. The new edition is completely reviewed by key figures in the field, who offer authoritative and comprehensive information on the various topics. A new feature for the second edition is the incorporation of key background information on topics to allow the less advanced user access to the field and to make the title more of an auto-didactic book for undergraduates.
The past two decades have seen rapid development of micro-/nanotechnologies with the integration of chemical engineering, biomedical engineering, chemistry, and life sciences to form bio-MEMS or lab-on-chip devices that help us perform cellular analysis in a complex micro-/nanoflluidic environment with minimum sample consumption and have potential biomedical applications. To date, few books have been published in this field, and researchers are unable to find specialized content. This book compiles cutting-edge research on cell manipulation, separation, and analysis using microfluidics and bio-MEMS devices. It illustrates the use of micro-robots for biomedical applications, vascularized microfluidic organs-on-a-chip and their applications, as well as DNA gene microarray biochips and their applications. In addition, it elaborates on neuronal cell activity in microfluidic compartments, microvasculature and microarray gene patterning, different physical methods for drug delivery and analysis, micro-/nanoparticle preparation and separation in a micro-/nanofluidic environment, and the potential biomedical applications of micro-/nanoparticles. This book can be used by academic researchers, especially those involved in biomicrofluidics and bio-MEMS, and undergraduate- and graduate-level students of bio-MEMS/bio-nanoelectromechanical systems (bio-NEMS), biomicrofluidics, biomicrofabricatios, micro-/nanofluidics, biophysics, single-cell analysis, bionanotechnology, drug delivery systems, and biomedical micro-/nanodevices. Readers can gain knowledge of different aspects of microfluidics and bio-MEMS devices; their design, fabrication, and integration; and biomedical applications. The book will also help biotechnology-based industries, where research and development is ongoing in cell-based analysis, diagnosis, and drug screening.
Health Care Paradigms in the Internet of Things Ecosystem brings all IoT-enabled health care related technologies into a single platform so that undergraduate and postgraduate students, researchers, academicians and industry leaders can easily understand IoT-based healthcare systems. The book uses data and network engineering and intelligent decision support system-by-design principles to design a reliable IoT-enabled health care ecosystem and to implement cyber-physical pervasive infrastructure solutions. It takes the reader on a journey that begins with understanding the healthcare monitoring paradigm in IoT-enabled technologies and how it can be applied in various aspects. In addition, the book walks readers through real-time challenges and presents a guide on how to build a safe infrastructure for IoT-based health care. It also helps researchers and practitioners understand the e-health care architecture through IoT and the state-of-the-art in IoT countermeasures. Readers will find this to be a comprehensive discussion on functional frameworks for IoT-based healthcare systems, intelligent medicine, RFID technology, HMI, Cognitive Interpretation, Brain-Computer Interface, Remote Health Monitoring systems, wearable sensors, WBAN, and security and privacy issues in IoT-based health care monitoring systems.
Lab Manual for Biomedical Engineering: Devices and Systems examines key concepts in biomedical systems and signals in a laboratory setting. The book gives students the opportunity to complete both measurement and math modeling exercises, thus demonstrating that the experimental real-world setting directly corresponds with classroom theory. All the experiments in the lab manual have been extensively class-tested and cover concepts such as wave math, Fourier transformation, electronic and random noise, transfer functions, and systems modeling. Each experiment builds on knowledge acquired in previous experiments, allowing the level of difficulty to increase at an appropriate pace. In completing the lab work, students enhance their understanding of the lecture course. The third edition features expanded exercises, additional sample data and measurements, and lab modifications for increased ease and simple adaptation to the online teaching and learning environment. Individual activities have also been added to aid with independent learning. Lab Manual for Biomedical Engineering is ideal for undergraduate courses in biomedical engineering comprised of students who have completed introductory electrical and mechanical physics courses. A two-semester background in calculus is recommended.
The book fills a void as a textbook with hands-on laboratory exercises designed for biomedical engineering undergraduates in their senior year or the first year of graduate studies specializing in electrical aspects of bioinstrumentation. Each laboratory exercise concentrates on measuring a biophysical or biomedical entity, such as force, blood pressure, temperature, heart rate, respiratory rate, etc., and guides students though all the way from sensor level to data acquisition and analysis on the computer. The book distinguishes itself from others by providing electrical circuits and other measurement setups that have been tested by the authors while teaching undergraduate classes at their home institute over many years. Key Features: * Hands-on laboratory exercises on measurements of biophysical and biomedical variables * Each laboratory exercise is complete by itself and they can be covered in any sequence desired by the instructor during the semester * Electronic equipment and supplies required are typical for biomedical engineering departments * Data collected by undergraduate students and data analysis results are provided as samples * Additional information and references are included for preparing a report or further reading at the end of each chapter Students using this book are expected to have basic knowledge of electrical circuits and troubleshooting. Practical information on circuit components, basic laboratory equipment, and circuit troubleshooting is also provided in the first chapter of the book.