- Table View
- List View
Biomedical Research and Integrated Biobanking: An Innovative Paradigm For Heterogeneous Data Management (Springer Theses)
by Massimiliano IzzoThis doctoral thesisreports on an innovative data repository offering adaptive metadata managementto maximise information sharing and comprehension in multidisciplinary andgeographically distributed collaborations. It approaches metadata as a fluid,loosely structured and dynamical process rather than a fixed product, anddescribes the development of a novel data management platform based on aschemaless JSON data model, which represents the first fully JSON-basedmetadata repository designed for the biomedical sciences. Results obtainedin various application scenarios (e. g. integrated biobanking, functionalgenomics and computational neuroscience) and corresponding performance testsare reported on in detail. Last but not least, the book offers a systematicoverview of data platforms commonly used in the biomedical sciences, togetherwith a fresh perspective on the role of and tools for data sharing andheterogeneous data integration in contemporary biomedical research.
Biomedical Research, Medicine, and Disease (Translating Animal Science Research)
by R. C. Sobti Aastha SobtiBiomedical research is the first step towards the creation of new medications and treatments that help to manage different types of health conditions and diseases. The prevention and cure of diseases would be practically impossible without such type of research. Although the drug discovery and development processes are far too costly, time-consuming, prone to failure, and have low success rate, today the term "translational research or medicine" seems to have become trendy, yet it is insufficient. The present book is a sincere attempt by dedicated researchers to convey the importance of translational biomedical research, medicine, and disease, primarily, basic and clinical difficulties in the translation of diagnostic measures, pharmaceutical advances, biomarkers, diagnostics, and therapeutics. This book is meant for researchers, scientists, healthcare professionals, industry, innovators, and students of biomedical sciences, as well as for those involved in the basic sciences, biochemistry, biotechnology, biophysics, and life sciences in general. The volume comprehensively covers i. Emerging technologies for health care, ii. Various aspects of biomedical research toward understanding of pathophysiology of the diseases, iii. Advances in improvement in diagnostic procedures and therapeutic tools, iv. The fundamental role of biomedical research in the development of new medicinal products.
Biomedical Research: An Insider's Guide
by Seward B. RutkoveThis comprehensive yet concise title is a guide to introducing people at all levels of training--undergraduate students, graduate students, medical students, residents, fellows and junior faculty--to the basic joys and pains of research. In doing so, this fun and easy-to-read guide offers thorough information to allow people to determine for themselves whether research is really for them. By outlining all of the key issues in a biomedical research career, would-be and early-stage researchers will not only be better informed about the world of biomedical research, but will learn a basic set of instructions to help initiate their careers. Biomedical Research: An Insider's Guide is divided into several sections. The first focuses on decision points regarding whether one wants to enter into research and which type for which type of person--basic, clinical, or translational. The second section focuses on some basic practicalities of pursuing medical research, including institutional review boards and animal care committees as well general suggestions regarding idea generation and collaboration. The third section covers a core aspect of research: writing--detailing the writing of both grants and papers. The fourth section addresses a range of issues, including conferencing to patents to industry to philanthropy. The final section deals with the all-important broader life issues from job choices to thoughts on trying to keep the big picture front and center as one moves through a research-infused career. An invaluable resource that offers insightful, practical advice, Biomedical Research: An Insider's Guide is the go-to guide that shows how biomedical research is not only filled with multiple challenges, but is also truly and inexplicably enjoyable.
Biomedical Science (Lecture Notes #42)
by Ian LyonsThis brand new Lecture Notes title provides the core biomedical science study and revision material that medical students need to know. Matching the common systems-based approach taken by the majority of medical schools, it provides concise, student-led content that is rooted in clinical relevance. The book is filled with learning features such as key definitions and key conditions, and is cross-referenced to develop interdisciplinary awareness. Although designed predominantly for medical students, this new Lecture Notes book is also useful for students of dentistry, pharmacology and nursing. Biomedical Science Lecture Notes provides: A brand new title in the award-winning Lecture Notes series A concise, full colour study and revision guide A 'one-stop-shop' for the biomedical sciences Clinical relevance and cross referencing to develop interdisciplinary skills Learning features such as key definitions to aid understanding
Biomedical Sciences
by Suzanne Docherty Raymond IlesBiomedical Sciences is an indispensable, all encompassing core textbook for first/ second year biomedical science students that will support them throughout their undergraduate career. The book includes the key components of the IBMS accredited degree programmes, plus sections on actual practice in UK hospital laboratories (including the compilation of a reflective portfolio).The book is visually exciting, and written in an interesting and accessible manner while maintaining scientific rigour. Highlighted boxes within the text link the theory to actual clinical laboratory practice for example, the histopathology chapter includes a photographically illustrated flow chart of the progress of a specimen through the histopathology lab, so that students can actually see how the specimen reception/inking/cut-up/cassette/block/section/stain system works, with an emphasis on the safety procedures that ensure specimens are not confused).
Biomedical Sensing and Analysis: Signal Processing in Medicine and Biology
by Iyad Obeid Ivan Selesnick Joseph PiconeThis book provides an interdisciplinary look at emerging trends in signal processing and biomedicine found at the intersection of healthcare, engineering, and computer science. Bringing together expanded versions of selected papers presented at the 2020 IEEE Signal Processing in Medicine and Biology Symposium (IEEE SPMB), it examines the vital role signal processing plays in enabling a new generation of technology based on big data and looks at applications ranging from medical electronics to data mining of electronic medical records. Topics covered include analysis of medical images, machine learning, biomedical nanosensors, wireless technologies, and instrumentation and electrical stimulation. Biomedical Sensing and Analysis: Signal Processing in Medicine and Biology presents tutorials and examples of successful applications, and will appeal to a wide range of professionals, researchers, and students interested in applications of signal processing, medicine, and biology.Presents an interdisciplinary look at research trends in signal processing and biomedicine;Promotes collaboration between healthcare practitioners and signal processing researchers;Includes tutorials and examples of successful applications.
Biomedical Sensors and Instruments
by Tatsuo Tagawa Toshiyo Tamura P. Ake ObergThe living body is a difficult object to measure: accurate measurements of physiological signals require sensors and instruments capable of high specificity and selectivity that do not interfere with the systems under study. As a result, detailed knowledge of sensor and instrument properties is required to be able to select the "best" sensor from o
Biomedical Signal Analysis
by Rangaraj M. RangayyanThe book will help assist a reader in the development of techniques for analysis of biomedical signals and computer aided diagnoses with a pedagogical examination of basic and advanced topics accompanied by over 350 figures and illustrations. Wide range of filtering techniques presented to address various applications 800 mathematical expressions and equations Practical questions, problems and laboratory exercises Includes fractals and chaos theory with biomedical applications
Biomedical Signal Analysis (IEEE Press Series on Biomedical Engineering)
by Rangaraj M. Rangayyan Sridhar KrishnanBiomedical Signal Analysis Comprehensive resource covering recent developments, applications of current interest, and advanced techniques for biomedical signal analysis Biomedical Signal Analysis provides extensive insight into digital signal processing techniques for filtering, identification, characterization, classification, and analysis of biomedical signals with the aim of computer-aided diagnosis, taking a unique approach by presenting case studies encountered in the authors’ research work. Each chapter begins with the statement of a biomedical signal problem, followed by a selection of real-life case studies and illustrations with the associated signals. Signal processing, modeling, or analysis techniques are then presented, starting with relatively simple “textbook” methods, followed by more sophisticated research-informed approaches. Each chapter concludes with solutions to practical applications. Illustrations of real-life biomedical signals and their derivatives are included throughout. The third edition expands on essential background material and advanced topics without altering the underlying pedagogical approach and philosophy of the successful first and second editions. The book is enhanced by a large number of study questions and laboratory exercises as well as an online repository with solutions to problems and data files for laboratory work and projects. Biomedical Signal Analysis provides theoretical and practical information on: The origin and characteristics of several biomedical signals Analysis of concurrent, coupled, and correlated processes, with applications in monitoring of sleep apnea Filtering for removal of artifacts, random noise, structured noise, and physiological interference in signals generated by stationary, nonstationary, and cyclostationary processes Detection and characterization of events, covering methods for QRS detection, identification of heart sounds, and detection of the dicrotic notch Analysis of waveshape and waveform complexity Interpretation and analysis of biomedical signals in the frequency domain Mathematical, electrical, mechanical, and physiological modeling of biomedical signals and systems Sophisticated analysis of nonstationary, multicomponent, and multisource signals using wavelets, time-frequency representations, signal decomposition, and dictionary-learning methods Pattern classification and computer-aided diagnosis Biomedical Signal Analysis is an ideal learning resource for senior undergraduate and graduate engineering students. Introductory sections on signals, systems, and transforms make this book accessible to students in disciplines other than electrical engineering.
Biomedical Signal Processing for Healthcare Applications (Emerging Trends in Biomedical Technologies and Health informatics)
by G. R. Sinha Chinmay Chakraborty Varun BajajThis book examines the use of biomedical signal processing—EEG, EMG, and ECG—in analyzing and diagnosing various medical conditions, particularly diseases related to the heart and brain. In combination with machine learning tools and other optimization methods, the analysis of biomedical signals greatly benefits the healthcare sector by improving patient outcomes through early, reliable detection. The discussion of these modalities promotes better understanding, analysis, and application of biomedical signal processing for specific diseases. The major highlights of Biomedical Signal Processing for Healthcare Applications include biomedical signals, acquisition of signals, pre-processing and analysis, post-processing and classification of the signals, and application of analysis and classification for the diagnosis of brain- and heart-related diseases. Emphasis is given to brain and heart signals because incomplete interpretations are made by physicians of these aspects in several situations, and these partial interpretations lead to major complications. FEATURES Examines modeling and acquisition of biomedical signals of different disorders Discusses CAD-based analysis of diagnosis useful for healthcare Includes all important modalities of biomedical signals, such as EEG, EMG, MEG, ECG, and PCG Includes case studies and research directions, including novel approaches used in advanced healthcare systems This book can be used by a wide range of users, including students, research scholars, faculty, and practitioners in the field of biomedical engineering and medical image analysis and diagnosis.
Biomedical Signal Processing: A Modern Approach (Biomedical Signal and Image Processing)
by Ganesh R. Naik Wellington Pinheiro dos SantosThis book presents the theoretical basis and applications of biomedical signal analysis and processing. Initially, the nature of the most common biomedical signals, such as electroencephalography, electromyography, electrocardiography and others, is described. The theoretical basis of linear signal processing is summarized, with continuous and discrete representation, linear filters and convolutions, Fourier and Wavelets transforms. Machine learning concepts are also presented, from classic methods to deep neural networks. Finally, several applications in neuroscience are presented and discussed, involving diagnosis and therapy, in addition to other applications. Features: Explains signal processing of neuroscience applications using modern data science techniques. Provides comprehensible review on biomedical signals nature and acquisition aspects. Focusses on selected applications of neurosciences, cardiovascular and muscle-related biomedical areas. Includes computational intelligence, machine learning and biomedical signal processing and analysis. Reviews theoretical basis of deep learning and state-of-the-art biomedical signal processing and analysis. This book is aimed at researchers, graduate students in biomedical signal processing, signal processing, electrical engineering, neuroscience and computer science.
Biomedical Signal Processing: Advances in Theory, Algorithms and Applications (Series in BioEngineering)
by Ganesh NaikThis book reports on the latest advances in the study of biomedical signal processing, and discusses in detail a number of open problems concerning clinical, biomedical and neural signals. It methodically collects and presents in a unified form the research findings previously scattered throughout various scientific journals and conference proceedings. In addition, the chapters are self-contained and can be read independently. Accordingly, the book will be of interest to university researchers, R&D engineers and graduate students who wish to learn the core principles of biomedical signal analysis, algorithms, and applications, while also offering a valuable reference work for biomedical engineers and clinicians who wish to learn more about the theory and recent applications of neural engineering and biomedical signal processing.
Biomedical Signal Processing: Innovation and Applications
by Iyad Obeid Ivan Selesnick Joseph PiconeThis book provides an interdisciplinary look at emerging trends in signal processing and biomedicine found at the intersection of healthcare, engineering, and computer science. It examines the vital role signal processing plays in enabling a new generation of technology based on big data, and looks at applications ranging from medical electronics to data mining of electronic medical records. Topics covered include analysis of medical images, machine learning, biomedical nanosensors, wireless technologies, and instrumentation and electrical stimulation. Biomedical Signal Processing: Innovation and Applications presents tutorials and examples of successful applications, and will appeal to a wide range of professionals, researchers, and students interested in applications of signal processing, medicine, and biology.
Biomedical Signal Processing: Volume 2: Compression and Automatic Recognition (Routledge Revivals)
by Arnon CohenFirst published in 1986: The presentation of the material in the book follows the flow of events of the general signal processing system. After the signal has been acquired, some manipulations are applied in order to enhance the relevant information present in the signal. Simple, Optimal, and adaptive filtering are examples of such manipulations. The detection of wavelets is of importance in biomedical signals; they can be detected from the enhanced signal by several methods. The signal very often contains redundancies. When effective storing, transmission, or automatic classification are required, these redundancies have to be extracted.
Biomedical Signal and Image Examination with Entropy-Based Techniques (Biomedical and Robotics Healthcare)
by B. Thayumanavan V. Rajinikanth K. Kamalanand C. EmmanuelThe aim of this book is to outline the concept of entropy, various types of entropies and their implementation to evaluate a variety of biomedical signals/images. The book emphasizes various entropy-based image pre-processing methods which are essential for the development of suitable computerized examination systems. The recent research works on biomedical signal evaluation confirms that signal analysis provides vital information regarding the physiological condition of the patient, and the efficient evaluation of these signals can help to diagnose the nature and the severity of the disease. This book emphasizes various entropy-based image pre-processing methods which are essential for the development of suitable computerized examination systems for the analysis of biomedical images recorded with a variety of modalities. The work discusses the image pro-processing methods with the Entropies, such as Kapur, Tsallis, Shannon and Fuzzy on a class of RGB-scaled and gray-scaled medical pictures. The performance of the proposed technique is justified with the help of suitable case studies, which involves x-ray image analysis, MRI analysis and CT analysis. This book is intended for medical signal/image analysts, undergraduate and postgraduate students, researchers, and medical scientists interested in biomedical data evaluation.
Biomedical Signal and Image Processing
by Robert Splinter Kayvan NajarianWritten for senior-level and first year graduate students in biomedical signal and image processing, this book describes fundamental signal and image processing techniques that are used to process biomedical information. The book also discusses application of these techniques in the processing of some of the main biomedical signals and images, such as EEG, ECG, MRI, and CT. New features of this edition include the technical updating of each chapter along with the addition of many more examples, the majority of which are MATLAB based.
Biomedical Signal and Image Processing with Artificial Intelligence (EAI/Springer Innovations in Communication and Computing)
by Mohammed Atiquzzaman Rahul Kher Falgun Thakkar Chirag Paunwala Heena Kher Mita Paunwala Norliza Mohd. NoorThis book focuses on advanced techniques used for feature extraction, analysis, recognition, and classification in the area of biomedical signal and image processing. Contributions cover all aspects of artificial intelligence, machine learning, and deep learning in the field of biomedical signal and image processing using novel and unexplored techniques and methodologies. The book covers recent developments in both medical images and signals analyzed by artificial intelligence techniques. The authors also cover topics related to development based artificial intelligence, which includes machine learning, neural networks, and deep learning. This book will provide a platform for researchers who are working in the area of artificial intelligence for biomedical applications.Provides insights into medical signal and image analysis using artificial intelligence;Includes novel and recent trends of decision support system for medical research;Outlines employment of evolutionary algorithms for biomedical data, big data analysis for medical databases, and reliability, opportunities, and challenges in clinical data.
Biomedical Signals Based Computer-Aided Diagnosis for Neurological Disorders
by M. Murugappan Rajamanickam YuvarajBiomedical 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.
Biomedical Signals and Sensors II: Linking Acoustic and Optic Biosignals and Biomedical Sensors (Biological and Medical Physics, Biomedical Engineering)
by Eugenijus KaniusasThe book set develops a bridge between physiologic mechanisms and diagnostic human engineering. While the first volume is focused on the interface between physiologic mechanisms and the resultant biosignals, this second volume is devoted to the interface between biosignals and biomedical sensors. That is, in the first volume, the physiologic mechanisms determining biosignals are described from the basic cellular level up to their advanced mutual coordination level. This second volume, considers the genesis of acoustic and optic biosignals and the associated sensing technology from a strategic point of view. As a novelty, this book discusses heterogeneous biosignals within a common frame. This frame comprises both the biosignal formation path from the biosignal source at the physiological level to biosignal propagation in the body, and the biosignal sensing path from the biosignal transmission in the sensor applied on the body up to its conversion to a, usually electric, signal. Some biosignals arise in the course of the body's vital functions while others map these functions that convey physiological data to an observer. It is highly instructive how sound and light beams interact with biological tissues, yielding acoustic and optic biosignals, respectively. Discussed phenomena teach a lot about the physics of sound and physics of light (as engineering sciences), and, on the other hand, biology and physiology (as live sciences). The highly interdisciplinary nature of biosignals and biomedical sensors is obviously a challenge. However, it is a rewarding challenge after it has been coped with in a strategic way, as offered here. The book is intended to have the presence to answer intriguing "Aha!" questions.
Biomedical Signals and Sensors III: Linking Electric Biosignals and Biomedical Sensors (Biological and Medical Physics, Biomedical Engineering)
by Eugenijus KaniusasAs the third volume in the author’s series on “Biomedical Signals and Sensors,” this book explains in a highly instructive way how electric, magnetic and electromagnetic fields propagate and interact with biological tissues. The series provides a bridge between physiological mechanisms and theranostic human engineering. The first volume focuses on the interface between physiological mechanisms and the resultant biosignals that are commonplace in clinical practice. The physiologic mechanisms determining biosignals are described from the cellular level up to the mutual coordination at the organ level. In turn, the second volume considers the genesis of acoustic and optic biosignals and the associated sensing technology from a strategic point of view. This third volume addresses the interface between electric biosignals and biomedical sensors. Electric biosignals are considered, starting with the biosignal formation path to biosignal propagation in the body and finally to the biosignal sensing path and the recording of the signal. The series also emphasizes the common features of acoustic, optic and electric biosignals, which are ostensibly entirely different in terms of their physical nature. Readers will learn how these electric, magnetic and electromagnetic fields propagate and interact with biological tissues, are influenced by inhomogeneity effects, cause neuromuscular stimulation and thermal effects, and finally pass the electrode/tissue boundary to be recorded. As such, the book helps them manage the challenges posed by the highly interdisciplinary nature of biosignals and biomedical sensors by presenting the basics of electrical engineering, physics, biology and physiology that are needed to understand the relevant phenomena.
Biomedical Signals, Imaging, and Informatics (The Biomedical Engineering Handbook, Fourth Edition)
by Joseph D. Bronzino Donald R. PetersonAs the third volume of The Biomedical Engineering Handbook, Fourth Edition, this book covers broad areas such as biosignal processing, medical imaging, infrared imaging, and medical informatics. More than three dozen specific topics are examined including biomedical signal acquisition, thermographs, infrared cameras, mammography, computed tomography, positron-emission tomography, magnetic resonance imaging, hospital information systems, and computer-based patient records. The material is presented in a systematic manner and has been updated to reflect the latest applications and research findings.
Biomedical Spectroscopy
by Kartha V B Santhosh CThis book discusses biomedical spectroscopy and the applications of spectroscopic techniques in advanced medical technology. Applicable to scientists and medical professionals, the aim of this work is to enable them to work together in this field, so that healthcare facilities can be made routinely available in a cost-effective manner—especially for developing countries which may not be able to afford universal healthcare with present day expensive medical technologies.The subject matter of this book also covers – Instrumentation, Experimental Techniques and Computational Methods Spectroscopy of Animal Models Microspectroscopy for Biomedical Applications Clinical Applications of Optical Spectroscopy Spectroscopy of Human Models Print edition not for sale in South Asia (India, Sri Lanka, Nepal, Bangladesh, Pakistan and Bhutan)
Biomedical Statistics: A Beginner's Guide
by Shakti Kumar Yadav Sompal Singh Ruchika GuptaThis book is written in a very easy-to-follow format, and explains the key concepts of biomedical statistics in a lucid yet straightforward manner. It explains how mathematical and statistical tools can be used to find answers to common research questions. In addition, the main text is supplemented by a wealth of solved exercises and illustrative examples to aid in comprehension. Given its content, the book offers an invaluable quick reference guide for graduating students and can be very helpful in their examination process. At the same time, it represents a handy guide for medical and paramedical teachers, post-graduate medical students, research personnel, biomedical scientists and epidemiologists.
Biomedical Technology: Modeling, Experiments And Simulation (Lecture Notes in Applied and Computational Mechanics #74)
by Thomas Lenarz Peter WriggersDuring the last years computational methods lead to new approaches that can be applied within medical practice. Based on the tremendous advances in medical imaging and high-performance computing, virtual testing is able to help in medical decision processes or implant designs. Current challenges in medicine and engineering are related to the application of computational methods to clinical medicine and the study of biological systems at different scales. Additionally manufacturers will be able to use computational tools and methods to predict the performance of their medical devices in virtual patients. The physical and animal testing procedures could be reduced by virtual prototyping of medical devices. Here simulations can enhance the performance of alternate device designs for a range of virtual patients. This will lead to a refinement of designs and to safer products. This book summarizes different aspects of approaches to enhance function, production, initialization and complications of different types of implants and related topics.
Biomedical Technology: Modeling, Experiments and Simulation (Lecture Notes in Applied and Computational Mechanics #84)
by Thomas Lenarz Peter WriggersDuring the last years computational methods lead to new approaches that can be applied within medical practice. Based on the tremendous advances in medical imaging and high-performance computing, virtual testing is able to help in medical decision processes or implant designs. Current challenges in medicine and engineering are related to the application of computational methods to clinical medicine and the study of biological systems at different scales. Additionally manufacturers will be able to use computational tools and methods to predict the performance of their medical devices in virtual patients. The physical and animal testing procedures could be reduced by virtual prototyping of medical devices. Here simulations can enhance the performance of alternate device designs for a range of virtual patients. This will lead to a refinement of designs and to safer products. This book summarizes different aspects of approaches to enhance function, production, initialization and complications of different types of implants and related topics.