Biomedical engineering, Saltzman, W. Mark (yale University, Connecticut)
Старое издание
Автор: Saltzman, W.mark Tran, Veronique Название: Biomedical engineering ISBN: 0521840996 ISBN-13(EAN): 9780521840996 Издательство: Cambridge Academ Цена: 58070 T Наличие на складе: Поставка под заказ. Описание: This book is an introduction to biomedical engineering, starting from the basics and demonstrating the engineering principles that are used to create new diagnostic methods and therapies for human disease. Although biomedical engineering is a relatively new field of study, it impacts almost every person in the world.
Автор: Kalet Ira J. Название: Principles of Biomedical Informatics, 2 ed ISBN: 0124160190 ISBN-13(EAN): 9780124160194 Издательство: Elsevier Science Рейтинг: Цена: 83080.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Provides a treatment of the deep computational ideas at the foundation of the field. This book includes exercises at the end of each chapter, ideas for student projects, and a number of new topics, such as: tree structured data, interval trees, and time-oriented medical data and their use.
Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models focuses on the relationship between three different multidisciplinary branches of engineering: Biomedical Engineering, Cognitive Science and Computer Science through Artificial Intelligence models. These models will be used to study how the nervous system and musculoskeletal system obey movement orders from the brain, as well as the mental processes of the information during cognition when injuries and neurologic diseases are present in the human body.
The interaction between these three areas are studied in this book with the objective of obtaining AI models on injuries and neurologic diseases of the human body, studying diseases of the brain, spine and the nerves that connect them with the musculoskeletal system. There are more than 600 diseases of the nervous system, including brain tumors, epilepsy, Parkinson's disease, stroke, and many others. These diseases affect the human cognitive system that sends orders from the central nervous system (CNS) through the peripheral nervous systems (PNS) to do tasks using the musculoskeletal system. These actions can be detected by many Bioinstruments (Biomedical Instruments) and cognitive device data, allowing us to apply AI using Machine Learning-Deep Learning-Cognitive Computing models through algorithms to analyze, detect, classify, and forecast the process of various illnesses, diseases, and injuries of the human body.
Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models provides readers with the study of injuries, illness, and neurological diseases of the human body through Artificial Intelligence using Machine Learning (ML), Deep Learning (DL) and Cognitive Computing (CC) models based on algorithms developed with MATLAB(R) and IBM Watson(R).
Автор: Sihua Yang and Da Xing Название: Biomedical Photoacoustics ISBN: 9814774588 ISBN-13(EAN): 9789814774581 Издательство: Taylor&Francis Рейтинг: Цена: 118410.00 T Наличие на складе: Невозможна поставка. Описание: This book presents the latest developments in this field, especially the advances in the detection of diseases using newly developed PA techniques. Organized in seven chapters, it covers philosophy and technological fundamentals of photoacoustics, key techniques related to fast PA imaging, PA microscopy.
Автор: Dhikav V. Название: Fundamentals Of Biomedical Research ISBN: 9387085864 ISBN-13(EAN): 9789387085862 Издательство: CBS India Рейтинг: Цена: 3880.00 T Наличие на складе: Есть
Автор: Wang, Lulu, Название: Electromagnetic induction imaging : ISBN: 0791860469 ISBN-13(EAN): 9780791860465 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 78270.00 T Наличие на складе: Есть Описание: Offers comprehensive descriptions of recent investigations on the development and biomedical applications of electromagnetic (EM) induction imaging which enables scientists and engineers to use EM imaging techniques to develop medical diagnostic and radio-therapy instruments.
Автор: Los, Marek Название: Stem Cells and Biomaterials for Regenerative Medicine ISBN: 0128122587 ISBN-13(EAN): 9780128122587 Издательство: Elsevier Science Рейтинг: Цена: 132500.00 T Наличие на складе: Нет в наличии. Описание:
Stem Cells and Biomaterials for Regenerative Medicine addresses the urgent need for a compact source of information on both the cellular and biomaterial aspects of regenerative medicine. By developing a mutual understanding between three separately functioning areas of science--medicine, the latest technology, and clinical economics--the volume encourages interdisciplinary relationships that will lead to solutions for the significant challenges faced by today's regenerative medicine. Users will find sections on the homeostatic balance created by apoptosis and proliferating tissue stem cells, the naturally regenerative capacities of various tissue types, the potential regenerative benefits of iPS-generation, various differentiation protocols, and more.
Written in easily accessbile language, this volume is appropriate for any professional or medical staff looking to expand their knowledge with regard to stem cells and regenerative medicine.
Biomedical, Therapeutic and Clinical Applications of Bioactive Glasses is an essential guide to bioactive glasses, offering an overview of all aspects of the development and utilization of this cutting-edge material. The book covers vital issues, including mesoporosity, encapsulation technologies, scaffold formation and coatings for a number of applications, including drug delivery, encapsulation, scaffolds and coatings. Readers will gain a strong understanding and practical knowledge of the therapeutic aspects of bioceramics, with a focus on glasses from a clinical point-of- view. Researchers, students and scientists involved in bioceramics, bone tissue engineering, regeneration and biomedical engineering will find this to be a comprehensive resource.
Presents detailed coverage of bioactive glasses, including technologies and applications
Includes all the major development areas related to bioactive glasses, enabling readers to understand the latest research
Considers the potential future developments of bioactive glasses as a drug carrier
Автор: Khan, Firdos Alam Название: Biotechnology Fundamentals Third Edition ISBN: 1138612081 ISBN-13(EAN): 9781138612082 Издательство: Taylor&Francis Рейтинг: Цена: 117390.00 T Наличие на складе: Нет в наличии. Описание: Biotechnology Fundamentals, Third Edition provides a complete introduction of biotechnology to students taking biotechnology or life science courses and offers a detailed overview of the fundamentals to anyone in need of comprehensive information on the subject.
Автор: Elgendi, Mohamed Название: PPG Signal Analysis ISBN: 1138049719 ISBN-13(EAN): 9781138049710 Издательство: Taylor&Francis Рейтинг: Цена: 117390.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book serves as a current resource for Photoplethysmogram (PPG) signal analysis using MATLAB (R). This technology is critical in the evaluation of medical and diagnostic data utilized in mobile devices.
Автор: M. Emre Celebi, Teresa Mendonca, Jorge S. Marques Название: Dermoscopy Image Analysis ISBN: 1138892874 ISBN-13(EAN): 9781138892873 Издательство: Taylor&Francis Рейтинг: Цена: 47970.00 T Наличие на складе: Невозможна поставка. Описание: Dermoscopy is a noninvasive skin imaging technique that uses optical magnification and either liquid immersion or cross-polarized lighting to make subsurface structures more easily visible when compared to conventional clinical images. It allows for the identification of dozens of morphological features that are particularly important in identifying malignant melanoma. Dermoscopy Image Analysis summarizes the state of the art of the computerized analysis of dermoscopy images. The book begins by discussing the influence of color normalization on classification accuracy and then: Investigates gray-world, max-RGB, and shades-of-gray color constancy algorithms, showing significant gains in sensitivity and specificity on a heterogeneous set of images Proposes a new color space that highlights the distribution of underlying melanin and hemoglobin color pigments, leading to more accurate classification and border detection results Determines that the latest border detection algorithms can achieve a level of agreement that is only slightly lower than the level of agreement among experienced dermatologists Provides a comprehensive review of various methods for border detection, pigment network extraction, global pattern extraction, streak detection, and perceptually significant color detection Details a computer-aided diagnosis (CAD) system for melanomas that features an inexpensive acquisition tool, clinically meaningful features, and interpretable classification feedback Presents a highly scalable CAD system implemented in the MapReduce framework, a novel CAD system for melanomas, and an overview of dermatological image databases Describes projects that made use of a publicly available database of dermoscopy images, which contains 200 high-quality images along with their medical annotations Dermoscopy Image Analysis not only showcases recent advances but also explores future directions for this exciting subfield of medical image analysis, covering dermoscopy image analysis from preprocessing to classification.
Polymeric nanomaterials have become increasingly useful for a wide range of applications in therapeutics, tissue engineering and regenerative medicine. This is because their properties, such as stability, size, shape, surface charge, surface chemistry, mechanical strength, porosity, and so on, can be tailored toward the specific functionalities that are required to meet the needs of targeted biomedical application.
Advances In Polymeric Nanomaterials For Biomedical Applications examines advanced polymer synthetic strategies for developing novel biomaterials for use in medicine. With a strong focus on fundamentals and structure, the authors also explore their fabrication, as well as current and potential biomedical applications.
The book begins with a look at the fundamentals of polymeric nanomaterials and their properties. The text goes on to discuss the design of biomaterials and their applications in drug delivery. Further chapters explore other important applications such as imaging and regenerative medicine, including current challenges and future trends.
This valuable resource is especially useful for materials and polymer scientists, and bioengineers wishing to broaden their knowledge of polymeric nanobiomaterials.
Covers the complete spectrum of polymer nanomaterials used in biomedical applications
Includes various applications such as drug delivery, gene delivery, bio-imaging, tissue engineering and regenerative medicine, anti-microbial agents and neuroscience together for the first time in this area
Explores fundamental correlations between structures, properties and applications as well as synthetic strategies for polymer nanomaterials
Автор: Balas, Valentina Emilia Название: Handbook Of Deep Learning In Biomedical Engineering ISBN: 0128230142 ISBN-13(EAN): 9780128230145 Издательство: Elsevier Science Рейтинг: Цена: 149340.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
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.
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