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Author: Kamran Kiasaleh Publisher: Springer ISBN: 3642548792 Category : Technology & Engineering Languages : en Pages : 389
Book Description
This authored monograph presents key aspects of signal processing analysis in the biomedical arena. Unlike wireless communication systems, biological entities produce signals with underlying nonlinear, chaotic nature that elude classification using the standard signal processing techniques, which have been developed over the past several decades for dealing primarily with standard communication systems. This book separates what is random from that which appears to be random and yet is truly deterministic with random appearance. At its core, this work gives the reader a perspective on biomedical signals and the means to classify and process such signals. In particular, a review of random processes along with means to assess the behavior of random signals is also provided. The book also includes a general discussion of biological signals in order to demonstrate the inefficacy of the well-known techniques to correctly extract meaningful information from such signals. Finally, a thorough discussion of recently proposed signal processing tools and methods for addressing biological signals is included. The target audience primarily comprises researchers and expert practitioners but the book may also be beneficial for graduate students.
Author: Kamran Kiasaleh Publisher: Springer ISBN: 3642548792 Category : Technology & Engineering Languages : en Pages : 389
Book Description
This authored monograph presents key aspects of signal processing analysis in the biomedical arena. Unlike wireless communication systems, biological entities produce signals with underlying nonlinear, chaotic nature that elude classification using the standard signal processing techniques, which have been developed over the past several decades for dealing primarily with standard communication systems. This book separates what is random from that which appears to be random and yet is truly deterministic with random appearance. At its core, this work gives the reader a perspective on biomedical signals and the means to classify and process such signals. In particular, a review of random processes along with means to assess the behavior of random signals is also provided. The book also includes a general discussion of biological signals in order to demonstrate the inefficacy of the well-known techniques to correctly extract meaningful information from such signals. Finally, a thorough discussion of recently proposed signal processing tools and methods for addressing biological signals is included. The target audience primarily comprises researchers and expert practitioners but the book may also be beneficial for graduate students.
Author: Metin Akay Publisher: ISBN: Category : Medical Languages : en Pages : 296
Book Description
Detection and Estimation Methods for Biomedical Signals discusses the most powerful signal detection and estimation methods in use, and includes appendices of related computer programs to aid the reader in applying the methods to their particular problem. This book includes numerous practical examples of detection and estimation of biological signals, such as the detection of Multiple Sclerosis, using the orthogonal expansion method, and the early detection of coronary artery disease and occlusions before and after angioplasty by the Eigenvector methods. There is also ample coverage of four different wavelet transforms, useful in biomedical signal processing, as well as coverage of biomedical applications of neural networks and chaos theory. This book includes a disk of ANSII C source code for ten useful computer programs. Key Features * Time-frequency methods: design, implementation, simulation, biomedical applications, computer programs on disk * Wavelets: design, implementation, simulation, biomedical applications, computer programs on disk * High resolution methods: design, implementation, simulation, biomedical applications, computer programs on disk * Singular value composition, principle component analysis, Karhunen-Loeve transforms: design, implementation, and biomedical applications * Bayes Rules and Neyman-Pearson Methods: design, implementation, biomedical applications
Author: Institute of Medicine Publisher: National Academies Press ISBN: 0309061954 Category : Technology & Engineering Languages : en Pages : 303
Book Description
The threat of domestic terrorism today looms larger than ever. Bombings at the World Trade Center and Oklahoma City's Federal Building, as well as nerve gas attacks in Japan, have made it tragically obvious that American civilians must be ready for terrorist attacks. What do we need to know to help emergency and medical personnel prepare for these attacks? Chemical and Biological Terrorism identifies the R&D efforts needed to implement recommendations in key areas: pre-incident intelligence, detection and identification of chemical and biological agents, protective clothing and equipment, early recognition that a population has been covertly exposed to a pathogen, mass casualty decontamination and triage, use of vaccines and pharmaceuticals, and the psychological effects of terror. Specific objectives for computer software development are also identified. The book addresses the differences between a biological and chemical attack, the distinct challenges to the military and civilian medical communities, and other broader issues. This book will be of critical interest to anyone involved in civilian preparedness for terrorist attack: planners, administrators, responders, medical professionals, public health and emergency personnel, and technology designers and engineers.
Author: I. Gath Publisher: Springer Science & Business Media ISBN: 1475790988 Category : Technology & Engineering Languages : en Pages : 429
Book Description
In recent years there has been rapid progress in the development of signal processing in general, and more specifically in the application of signal processing and pattern analysis to biological signals. Techniques, such as parametric and nonparametric spectral estimation, higher order spectral estimation, time-frequency methods, wavelet transform, and identifi cation of nonlinear systems using chaos theory, have been successfully used to elucidate basic mechanisms of physiological and mental processes. Similarly, biological signals recorded during daily medical practice for clinical diagnostic procedures, such as electroen cephalograms (EEG), evoked potentials (EP), electromyograms (EMG) and electrocardio grams (ECG), have greatly benefitted from advances in signal processing. In order to update researchers, graduate students, and clinicians, on the latest developments in the field, an International Symposium on Processing and Pattern Analysis of Biological Signals was held at the Technion-Israel Institute of Technology, during March 1995. This book contains 27 papers delivered during the symposium. The book follows the five sessions of the symposium. The first section, Processing and Pattern Analysis of Normal and Pathological EEG, accounts for some of the latest developments in the area of EEG processing, namely: time varying parametric modeling; non-linear dynamic modeling of the EEG using chaos theory; Markov analysis; delay estimation using adaptive least-squares filtering; and applications to the analysis of epileptic EEG, EEG recorded from psychiatric patients, and sleep EEG.
Author: Abdulhamit Subasi Publisher: Academic Press ISBN: 0128176733 Category : Medical Languages : en Pages : 458
Book Description
Practical Guide for Biomedical Signals Analysis Using Machine Learning Techniques: A MATLAB Based Approach presents how machine learning and biomedical signal processing methods can be used in biomedical signal analysis. Different machine learning applications in biomedical signal analysis, including those for electrocardiogram, electroencephalogram and electromyogram are described in a practical and comprehensive way, helping readers with limited knowledge. Sections cover biomedical signals and machine learning techniques, biomedical signals, such as electroencephalogram (EEG), electromyogram (EMG) and electrocardiogram (ECG), different signal-processing techniques, signal de-noising, feature extraction and dimension reduction techniques, such as PCA, ICA, KPCA, MSPCA, entropy measures, and other statistical measures, and more. This book is a valuable source for bioinformaticians, medical doctors and other members of the biomedical field who need a cogent resource on the most recent and promising machine learning techniques for biomedical signals analysis. - Provides comprehensive knowledge in the application of machine learning tools in biomedical signal analysis for medical diagnostics, brain computer interface and man/machine interaction - Explains how to apply machine learning techniques to EEG, ECG and EMG signals - Gives basic knowledge on predictive modeling in biomedical time series and advanced knowledge in machine learning for biomedical time series
Author: L. Fedina Publisher: Elsevier ISBN: 1483190226 Category : Science Languages : en Pages : 352
Book Description
Mathematical and Computational Methods in Physiology discusses the importance of quantitative description of physiological phenomena and for quantitative comparison of experimental data. An article explains the homeostasis of the body with a focus on the controlling aspects. This section evaluates the concepts of modern physiology and biocybernetics. The canal-ocular reflex and the otolith-ocular reflex in man stimulates eye rotations compensatory for head angular and linear displacements. The book enumerates some modelling and simulation to observe the visual-vestibular interaction during angular and linear body acceleration. A section on the determination of cardiovascular control is given. The text reviews the mathematical models of the biological age of the rat. A numerical simulation of water transport in epithelial junctions is explained comprehensively. A chapter analyzing the computer simulation of drug-receptor interaction is presented. The book will provide useful information to zoologists, doctors, ophthalmologists, students and researchers in the field of medicine.
Author: Frédéric Dierick Publisher: MDPI ISBN: 3036508422 Category : Science Languages : en Pages : 240
Book Description
Many sensors are currently available at prices lower than USD 100 and cover a wide range of biological signals: motion, muscle activity, heart rate, etc. Such low-cost sensors have metrological features allowing them to be used in everyday life and clinical applications, where gold-standard material is both too expensive and time-consuming to be used. The selected papers present current applications of low-cost sensors in domains such as physiotherapy, rehabilitation, and affective technologies. The results cover various aspects of low-cost sensor technology from hardware design to software optimization.
Author: Robert M. Gray Publisher: Cambridge University Press ISBN: 1139456288 Category : Technology & Engineering Languages : en Pages : 479
Book Description
This book describes the essential tools and techniques of statistical signal processing. At every stage theoretical ideas are linked to specific applications in communications and signal processing using a range of carefully chosen examples. The book begins with a development of basic probability, random objects, expectation, and second order moment theory followed by a wide variety of examples of the most popular random process models and their basic uses and properties. Specific applications to the analysis of random signals and systems for communicating, estimating, detecting, modulating, and other processing of signals are interspersed throughout the book. Hundreds of homework problems are included and the book is ideal for graduate students of electrical engineering and applied mathematics. It is also a useful reference for researchers in signal processing and communications.
Author: Qilian Liang Publisher: Springer Science & Business Media ISBN: 146145803X Category : Technology & Engineering Languages : en Pages : 532
Book Description
Communications, Signal Processing, and Systems is a collection of contributions coming out of the International Conference on Communications, Signal Processing, and Systems (CSPS) held August 2012. This book provides the state-of-art developments of Communications, Signal Processing, and Systems, and their interactions in multidisciplinary fields, such as audio and acoustic signal processing. The book also examines Radar Systems, Chaos Systems, Visual Signal Processing and Communications and VLSI Systems and Applications. Written by experts and students in the fields of Communications, Signal Processing, and Systems.
Author: D. Varju Publisher: Springer Science & Business Media ISBN: 3642693083 Category : Science Languages : en Pages : 380
Book Description
The German Society of Cybernetics organizes international conferences on selected interdisciplinary topics in regular 3-year intervals. The aim of these meetings is to bring together scientists who work in quite different disciplines, but are confronted with related problems and use the same or similar approaches. The topic of the 1983 conference which was held on March 23-25 at the University of Tiibingen came from a typical field of research in which engineers, biologists, and phYSicists share a common interest. We do not want to discuss here in detail the common principles which are used by nature and by engineers to solve the problems associated with localization and orientation, since the reader will find enough examples in this volume. The question, however, whether the participants of such meetings can really profit from each other, deserves some further consid eration. First, there is the difficulty of finding a common language. This still seems to be a problem, although in some fields the language of engineers and biologists has become very similar over the years, an impression we also gained during the conference. Most of the authors made a great ef fort to use a vocabulary which is understandable to people outside their own field of research, but, admittedly, not all succeeded.
Author: Kamran Kiasaleh
Author: Kamran Kiasaleh
Author: Metin Akay
Author: Institute of Medicine
Author: I. Gath
Author: Abdulhamit Subasi
Author: L. Fedina
Author: Frédéric Dierick
Author: Robert M. Gray
Author: Qilian Liang
Author: D. Varju