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Original Essays | September 17, 2014

Merritt Tierce: IMG Has My Husband Read It?



My first novel, Love Me Back, was published on September 16. Writing the book took seven years, and along the way three chapters were published in... Continue »
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    Love Me Back

    Merritt Tierce 9780385538077

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Advanced Biosignal Processing

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Synopses & Reviews

Publisher Comments:

Through 17 chapters, this book presents the principle of many advanced biosignal processing techniques. After an important chapter introducing the main biosignal properties as well as the most recent acquisition techniques, it highlights five specific parts which build the body of this book. Each part concerns one of the most intensively used biosignals in the clinical routine, namely the Electrocardiogram (ECG), the Elektroenzephalogram (EEG), the Electromyogram (EMG) and the Evoked Potential (EP). In addition, each part gathers a certain number of chapters related to analysis, detection, classification, source separation and feature extraction. These aspects are explored by means of various advanced signal processing approaches, namely wavelets, Empirical Modal Decomposition, Neural networks, Markov models, Metaheuristics as well as hybrid approaches including wavelet networks, and neuro-fuzzy networks. The last part, concerns the Multimodal Biosignal processing, in which we present two different chapters related to the biomedical compression and the data fusion. Instead organising the chapters by approaches, the present book has been voluntarily structured according to signal categories (ECG, EEG, EMG, EP). This helps the reader, interested in a specific field, to assimilate easily the techniques dedicated to a given class of biosignals. Furthermore, most of signals used for illustration purpose in this book can be downloaded from the Medical Database for the Evaluation of Image and Signal Processing Algorithm. These materials assist considerably the user in evaluating the performances of their developed algorithms. This book is suited for final year graduate students, engineers and researchers in biomedical engineering and practicing engineers in biomedical science and medical physics.

Synopsis:

This concise book presents the principles of many advanced biosignal processing techniques. The book has been voluntarily structured according to signal categories. This helps the reader to assimilate the techniques dedicated to a given class of biosignals.

Table of Contents

Preface: Amine Naït-Ali Chapter 1: Biosignals: acquisition and general properties Amine Naït-Ali and Patrick Karasinski Chapter 2: Extraction of ECG characteristics using source separation techniques Vicente Zarzozo Chapter 3: ECG processing for exercise test Olivier Meste, Hervé Rix and Grégory Blain Chapter 4: Statistical models based ECG classification Rodrigo Varejão Andreão1, Jérôme Boudy, Bernadette Dorizzi, Jean-Marc Boucher and Salim Graja Chapter 5: Newborn Seizure Detection Using both the ECG and EEG via the Heart Rate Variability Time-Frequency Analysis Mostefa Mesbah, Boualem Boashash and Malarvili Balakrishnan Chapter 6: Adaptive tracking of EEG frequency components Laurent Uldry, Cédric Duchêne, Yann Prudat, Micah M. Murray, Jean-Marc Vesin Chapter 7: From EEG signals to brain connectivity: methods and applications in epilepsy Lotfi Senhadji, K. Ansari-Asl and F. Wendling Chapter 8: Neural Network approaches for EEG classification Amitava Chatterje, Amine Naït-Ali and Patrick Siarry Chapter 9: Analysis of event-related potentials using wavelet networks Hartmut Heinrich and Hartmut Dickhaus Chapter 10: Detection of evoked potentials Peter Husar Chapter 11: Visual Evoked Potential Analysis Using Adaptive Chirplet Transform Jie Cui1 and Willy Wong Chapter 12: EMG analysis: time-frequency based techniques Mohamad Khalil, Marwa Chendeb, Mohamad Diab, Catherine Marque and Jacques Duchêne Chapter 13: Pattern Classification Techniques for EMG Decomposition Sarbast Rasheed and Dan Stashuk Chapter 14: Parametrical modeling of some biosignals using optimization metaheuristics Amir Nakib, Amine. Naït-Ali, Virginie Van Wassenhove and Patrick Siarry Chapter 15: Nonlinear analysis of physiological time series Anisoara Ionescu and Kamiar Aminian Chapter 16: Biomedical data processing using HHT: a review Ming-Chya Wu and Norden Huang Chapter 17: Multimodal compression of biomedical data Amine Naït-Ali, Emre Zeybek and Xavier Drouot

Product Details

ISBN:
9783540895053
Author:
Nait-ali, Amine
Publisher:
Springer
Editor:
Nait-Ali, Amine
Author:
Nait-Ali, Amine
Subject:
Cardiology
Subject:
Computer Vision
Subject:
Applied
Subject:
Biotechnology
Subject:
ECG
Subject:
EEG
Subject:
EMG
Subject:
Elecromyogram
Subject:
Electrocardiogram
Subject:
Elektroenzephalogram
Subject:
Evoked potential
Subject:
Biomedical Engineering
Subject:
Computational intelligence
Subject:
Statistical Physics, Dynamical Systems and Complexity
Subject:
Computer Imaging, Vision, Pattern Recognition and Graphics
Subject:
Physiological, Cellular and Medical Topics
Subject:
Physiological, Cellular and Medical Topics <P>Concise overview of most all standard method</P> <P>Presents latest developments in Biosignal processing</P>
Subject:
Health and Medicine-Medical Specialties
Subject:
Engineering - General
Copyright:
Edition Description:
Book
Publication Date:
20090407
Binding:
HARDCOVER
Language:
English
Illustrations:
Y
Pages:
394
Dimensions:
235 x 155 mm 826 gr

Related Subjects

Computers and Internet » Computers Reference » General
Engineering » Engineering » Biomedical
Engineering » Engineering » General Engineering
Health and Self-Help » Health and Medicine » Medical Specialties
Science and Mathematics » Mathematics » Applied

Advanced Biosignal Processing New Hardcover
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Product details 394 pages Springer - English 9783540895053 Reviews:
"Synopsis" by , This concise book presents the principles of many advanced biosignal processing techniques. The book has been voluntarily structured according to signal categories. This helps the reader to assimilate the techniques dedicated to a given class of biosignals.
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