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Computer Aided Electromyography And Expert Systems
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Book Synopsis Computer-aided Electromyography and Expert Systems by : John E. Desmedt
Download or read book Computer-aided Electromyography and Expert Systems written by John E. Desmedt and published by Elsevier Publishing Company. This book was released on 1989 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: The second volume in the series Clinical Neurophysiology Updates, this book offers a state-of-the-art account of developments in the practical use of small computers for quantitative electromyography (EMG). EMG now plays an important role in clinical neurological diagnosis and motor control studies in humans, and can confirm or exclude clinical diagnoses, indicate the site and type of an abnormality or expose disorders that are clinically uncertain. The practical value of EMG methods has been enhanced by quantitative measures of the recorded potential, something slow and difficult to achieve manually and which can be more effectively secured by computer data processing. Computer data processing also enables the analysis of potentials under adverse conditions. Computer-aided EMG has become an integral part of the daily activities of EMG laboratories, both for diagnosis in clinical neurology, and for the monitoring and research into revalidation, orthopedic surgery, clinical pharmacology, sports medicine and human physiology. This book reflects the leaps in progress recently made in the field of computer-aided EMG and is an excellent reference book and practical handbook.
Book Synopsis Neural Networks And Expert Systems In Medicine And Healthcare - Proceedings Of The Third International Conference by : Antonina Starita
Download or read book Neural Networks And Expert Systems In Medicine And Healthcare - Proceedings Of The Third International Conference written by Antonina Starita and published by World Scientific. This book was released on 1998-08-14 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: Interest in medical expert systems, neural networks and other artificial intelligence techniques is on the increase as more healthcare providers realise their potential, and engineers and scientists are discovering that medicine and healthcare are very fertile areas for developing new, or applying existing, intelligent algorithms to real problems. Intelligent systems make it possible to capture expert medical knowledge and to discover new knowledge so as to improve in-patient monitoring, data analysis and decision making, and hence the quality of healthcare.This book contains features which include: neural networks and expert systems techniques, as well as medical neural networks and expert systems. It should be of interest to managers, academics, engineers, scientists and medical practitioners involved in the funding, development and use of intelligent medical systems.
Book Synopsis Biomedical Signals Based Computer-Aided Diagnosis for Neurological Disorders by : M. Murugappan
Download or read book Biomedical Signals Based Computer-Aided Diagnosis for Neurological Disorders written by M. Murugappan and published by Springer Nature. This book was released on 2022-06-17 with total page 295 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book ECAI 2016 written by G.A. Kaminka and published by IOS Press. This book was released on 2016-08-24 with total page 1860 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence continues to be one of the most exciting and fast-developing fields of computer science. This book presents the 177 long papers and 123 short papers accepted for ECAI 2016, the latest edition of the biennial European Conference on Artificial Intelligence, Europe’s premier venue for presenting scientific results in AI. The conference was held in The Hague, the Netherlands, from August 29 to September 2, 2016. ECAI 2016 also incorporated the conference on Prestigious Applications of Intelligent Systems (PAIS) 2016, and the Starting AI Researcher Symposium (STAIRS). The papers from PAIS are included in this volume; the papers from STAIRS are published in a separate volume in the Frontiers in Artificial Intelligence and Applications (FAIA) series. Organized by the European Association for Artificial Intelligence (EurAI) and the Benelux Association for Artificial Intelligence (BNVKI), the ECAI conference provides an opportunity for researchers to present and hear about the very best research in contemporary AI. This proceedings will be of interest to all those seeking an overview of the very latest innovations and developments in this field.
Book Synopsis Journal of Rehabilitation Research & Development by :
Download or read book Journal of Rehabilitation Research & Development written by and published by . This book was released on 1996 with total page 1120 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Highly Structured Stochastic Systems by : Peter J. Green
Download or read book Highly Structured Stochastic Systems written by Peter J. Green and published by . This book was released on 2003 with total page 536 pages. Available in PDF, EPUB and Kindle. Book excerpt: Through this text, the author aims to make recent developments in the title subject (a modern strategy for the creation of statistical models to solve 'real world' problems) accessible to graduate students and researchers in the field of statistics.
Book Synopsis Modern Techniques in Neuroscience Research by : Uwe Windhorst
Download or read book Modern Techniques in Neuroscience Research written by Uwe Windhorst and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 1336 pages. Available in PDF, EPUB and Kindle. Book excerpt: An overview of the techniques used in modern neuroscience research with the emphasis on showing how different techniques can optimally be combined in the study of problems that arise at some levels of nervous system organization. This is essentially a working tool for the scientist in the laboratory and clinic, providing detailed step-by-step protocols with tips and recommendations. Most chapters and protocols are organized such that they can be used independently, while cross-references between the chapters, a glossary, a list of suppliers and appendices provide further help.
Book Synopsis Electromyography by : Roberto Merletti
Download or read book Electromyography written by Roberto Merletti and published by John Wiley & Sons. This book was released on 2004-07-26 with total page 520 pages. Available in PDF, EPUB and Kindle. Book excerpt: A complete overview of electromyography with contributions from pacesetters in the field In recent years, insights from the field of engineering have illuminated the vast potential of electromyography (EMG) in biomedical technology. Featuring contributions from key innovators working in the field today, Electromyography reveals the broad applications of EMG data in areas as diverse as neurology, ergonomics, exercise physiology, rehabilitation, movement analysis, biofeedback, and myoelectric control of prosthesis. Bridging the gap between engineering and physiology, this pioneering volume explains the essential concepts needed to detect, understand, process, and interpret EMG signals using non-invasive electrodes. Electromyography shows how engineering tools such as models and signal processing methods can greatly augment the insight provided by surface EMG signals. Topics covered include: Basic physiology and biophysics of EMG generation Needle and surface electrode detection techniques Signal conditioning and processing issues Single- and multi-channel techniques for information extraction Development and application of physical models Advanced signal processing techniques With its fresh engineering perspective, Electromyography offers physiologists, medical professionals, and students in biomedical engineering a new window into the far-reaching possibilities of this dynamic technology.
Download or read book AIME 91 written by Mario Stefanelli and published by Springer Science & Business Media. This book was released on 2013-03-08 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains 26 papers describing research in the do- main of Artificial Intelligence in Medicine. The papers are grouped around the following themes: Methodology, knowledge representation, clinical applications, modelling, uncertain- ty management, knowledge acquisition, and the user perspec- tive. The book gives an overview of the current state of AI in medicine research in Europe. It presents several techni- ques and methods that are likely to play an important role in future applications. In the section on clinical applica- tions not only existing systems are described, but results of evaluation studies are presented as well.
Book Synopsis Disorders of Voluntary Muscle by : George Karpati
Download or read book Disorders of Voluntary Muscle written by George Karpati and published by Cambridge University Press. This book was released on 2010-01-21 with total page 1335 pages. Available in PDF, EPUB and Kindle. Book excerpt: This major new edition fulfils the need for a single-volume, up-to-date information resource on the etiology, pathogenesis, diagnosis and treatment of diseases of skeletal muscles, including the muscular dystrophies, mitochondrial myopathies, metabolic myopathies, ion channel disorders, and dysimmune myopathies. As background to the clinical coverage, relevant information on advances in molecular and developmental biology, immunopathology, mitochondrial biology, ion-channel dynamics, cell membrane and signal transduction science, and imaging technology is summarized. Combining essential new knowledge with the fundamentals of history-taking and clinical examination, this extensively illustrated book will continue to be the mainstay for practising physicians and biomedical scientists concerned with muscle disease. Regular updates on the clinical and basic science aspects of muscle disease - written mainly by rising stars of myology - will be published on an accompanying website.
Book Synopsis Knowledge Representation for Health-Care by : David Riano Ramos
Download or read book Knowledge Representation for Health-Care written by David Riano Ramos and published by Springer. This book was released on 2011-01-27 with total page 163 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the KR4HC 2010 workshop held at ECAI in Lisbon, Portugal, in August 2010. The 11 extended papers presented were carefully reviewed and selected from 19 submissions. The papers cover topics like ontologies, patient data, records, and guidelines, and clinical practice guidelines.
Book Synopsis Oxford Textbook of Clinical Neurophysiology by : Kerry R. Mills
Download or read book Oxford Textbook of Clinical Neurophysiology written by Kerry R. Mills and published by Oxford University Press. This book was released on 2017 with total page 481 pages. Available in PDF, EPUB and Kindle. Book excerpt: Part of the Oxford Textbooks in Clinical Neurology series, the Oxford Textbook of Clinical Neurophysiology includes sections that provide a summary of the basic science underlying neurophysiological techniques, a description of the techniques themselves, including normal values, and a description of the use of the techniques in clinical situations. Much of diagnostic neurophysiology is essentially pattern recognition which is illustrated throughout the text using audio and video examples. Divided into four key sections, this book begins with the scientific basis of clinical neurophysiology (Section 1) before exploring specific techniques including Electromyography, Intracranial EEG recordings, and Magnetoencephalography (Section 2). The final two sections explore clinical aspects of both the peripheral nervous system (Section 3) and the central nervous system (Section 4).
Book Synopsis Journal of Rehabilitation Research and Development by :
Download or read book Journal of Rehabilitation Research and Development written by and published by . This book was released on 1997 with total page 594 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Bayesian Networks and Decision Graphs by : Finn V. Jensen
Download or read book Bayesian Networks and Decision Graphs written by Finn V. Jensen and published by Springer Science & Business Media. This book was released on 2001 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: A practical guide to normative systems: Causal and bayesian networks; Building models; learning, adaptation, and tuning; Decision graphs. Algorithms ofr normative systems: Belief updating in bayesian networks; Bayesian network analysis tools; Algorithms ofr influence diagrams. List of notation.
Book Synopsis Bayesian Networks and Decision Graphs by : Thomas Dyhre Nielsen
Download or read book Bayesian Networks and Decision Graphs written by Thomas Dyhre Nielsen and published by Springer Science & Business Media. This book was released on 2013-06-29 with total page 279 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bayesian networks and decision graphs are formal graphical languages for representation and communication of decision scenarios requiring reasoning under uncertainty. Their strengths are two-sided. It is easy for humans to construct and understand them, and when communicated to a computer, they can easily be compiled. The book emphasizes both the human and the computer side. It gives a thorough introduction to Bayesian networks, decision trees and influence diagrams as well as algorithms and complexity issues.
Book Synopsis Learning Probabilistic Graphical Models in R by : David Bellot
Download or read book Learning Probabilistic Graphical Models in R written by David Bellot and published by Packt Publishing Ltd. This book was released on 2016-04-29 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: Familiarize yourself with probabilistic graphical models through real-world problems and illustrative code examples in R About This Book Predict and use a probabilistic graphical models (PGM) as an expert system Comprehend how your computer can learn Bayesian modeling to solve real-world problems Know how to prepare data and feed the models by using the appropriate algorithms from the appropriate R package Who This Book Is For This book is for anyone who has to deal with lots of data and draw conclusions from it, especially when the data is noisy or uncertain. Data scientists, machine learning enthusiasts, engineers, and those who curious about the latest advances in machine learning will find PGM interesting. What You Will Learn Understand the concepts of PGM and which type of PGM to use for which problem Tune the model's parameters and explore new models automatically Understand the basic principles of Bayesian models, from simple to advanced Transform the old linear regression model into a powerful probabilistic model Use standard industry models but with the power of PGM Understand the advanced models used throughout today's industry See how to compute posterior distribution with exact and approximate inference algorithms In Detail Probabilistic graphical models (PGM, also known as graphical models) are a marriage between probability theory and graph theory. Generally, PGMs use a graph-based representation. Two branches of graphical representations of distributions are commonly used, namely Bayesian networks and Markov networks. R has many packages to implement graphical models. We'll start by showing you how to transform a classical statistical model into a modern PGM and then look at how to do exact inference in graphical models. Proceeding, we'll introduce you to many modern R packages that will help you to perform inference on the models. We will then run a Bayesian linear regression and you'll see the advantage of going probabilistic when you want to do prediction. Next, you'll master using R packages and implementing its techniques. Finally, you'll be presented with machine learning applications that have a direct impact in many fields. Here, we'll cover clustering and the discovery of hidden information in big data, as well as two important methods, PCA and ICA, to reduce the size of big problems. Style and approach This book gives you a detailed and step-by-step explanation of each mathematical concept, which will help you build and analyze your own machine learning models and apply them to real-world problems. The mathematics is kept simple and each formula is explained thoroughly.
Book Synopsis Biomedical Technology and Devices Handbook by : George Zouridakis
Download or read book Biomedical Technology and Devices Handbook written by George Zouridakis and published by CRC Press. This book was released on 2003-08-14 with total page 838 pages. Available in PDF, EPUB and Kindle. Book excerpt: Concise yet comprehensive, the Biomedical Technology and Devices Handbook illuminates the equipment, devices, and techniques used in modern medicine to diagnose, treat, and monitor human illnesses. With topics ranging from the basic procedures like blood pressure measurement to cutting-edge imaging equipment, biological tests, and genetic engineeri
