ISBN: 9783642100451
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… More...
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2010, ISBN: 9783642100451
[ED: Softcover], [PU: Springer, Berlin], Generally speaking, Biosignals refer to signals recorded from the human body. They can be either electrical (e. g. Electrocardiogram (ECG), Electr… More...
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ISBN: 9783642100451
Generally speaking, Biosignals refer to signals recorded from the human body. They can be either electrical (e. g. Electrocardiogram (ECG), Electroencephalogram (EEG), Electromyogram (EMG… More...
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ISBN: 9783642100451
Engineering; Biomedical Engineering; Cardiology; Computational Intelligence; Complex Systems; Computer Imaging, Vision, Pattern Recognition and Graphics; Physiological, Cellular and Medic… More...
Springer.com 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 biosignal Shipping costs:zzgl. Versandkosten., plus shipping costs Details... |
2010, ISBN: 9783642100451
Buch, Softcover, Softcover reprint of hardcover 1st ed. 2009, [PU: Springer Berlin], Springer Berlin, 2010
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ISBN: 9783642100451
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… More...
2010, ISBN: 9783642100451
[ED: Softcover], [PU: Springer, Berlin], Generally speaking, Biosignals refer to signals recorded from the human body. They can be either electrical (e. g. Electrocardiogram (ECG), Electr… More...
ISBN: 9783642100451
Generally speaking, Biosignals refer to signals recorded from the human body. They can be either electrical (e. g. Electrocardiogram (ECG), Electroencephalogram (EEG), Electromyogram (EMG… More...
ISBN: 9783642100451
Engineering; Biomedical Engineering; Cardiology; Computational Intelligence; Complex Systems; Computer Imaging, Vision, Pattern Recognition and Graphics; Physiological, Cellular and Medic… More...
2010, ISBN: 9783642100451
Buch, Softcover, Softcover reprint of hardcover 1st ed. 2009, [PU: Springer Berlin], Springer Berlin, 2010
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Details of the book - Advanced Biosignal Processing
EAN (ISBN-13): 9783642100451
ISBN (ISBN-10): 3642100457
Hardcover
Paperback
Publishing year: 2010
Publisher: Springer Berlin
396 Pages
Weight: 0,669 kg
Language: eng/Englisch
Book in our database since 2011-10-14T13:18:36+01:00 (London)
Detail page last modified on 2023-01-11T17:35:27+00:00 (London)
ISBN/EAN: 9783642100451
ISBN - alternate spelling:
3-642-10045-7, 978-3-642-10045-1
Alternate spelling and related search-keywords:
Book author: ali
Information from Publisher
Author: Amine Nait-Ali
Title: Advanced Biosignal Processing
Publisher: Springer; Springer Berlin
378 Pages
Publishing year: 2010-10-19
Berlin; Heidelberg; DE
Printed / Made in
Language: English
181,89 € (DE)
186,99 € (AT)
201,00 CHF (CH)
POD
XVI, 378 p. 218 illus., 3 illus. in color.
BC; Hardcover, Softcover / Technik/Sonstiges; Biomedizinische Technik; Verstehen; Elektroenzephalografie; Radiologieinformationssystem; biomedical engineering; classification; detection; electrocardiogram; fuzzy; heuristics; metaheuristic; modeling; network; optimization; science; signal processing; wavelets; Biomedical Engineering and Bioengineering; Cardiology; Computational Intelligence; Complex Systems; Computer Imaging, Vision, Pattern Recognition and Graphics; Mathematical and Computational Biology; Kardiologie, Angiologie; Künstliche Intelligenz; Kybernetik und Systemtheorie; Bildverarbeitung; DV-gestützte Biologie/Bioinformatik; BB; EA
Biosignals: Acquisition and General Properties.- Extraction of ECG Characteristics Using Source Separation Techniques: Exploiting Statistical Independence and Beyond.- ECG Processing for Exercise Test.- Statistical Models Based ECG Classification.- Heart Rate Variability Time-Frequency Analysis for Newborn Seizure Detection.- Adaptive Tracking of EEG Frequency Components.- From EEG Signals to Brain Connectivity: Methods and Applications in Epilepsy.- Neural Network Approaches for EEG Classification.- Analysis of Event-Related Potentials Using Wavelet Networks.- Detection of Evoked Potentials.- Visual Evoked Potential Analysis Using Adaptive Chirplet Transform.- Uterine EMG Analysis: Time-Frequency Based Techniques for Preterm Birth Detection.- Pattern Classification Techniques for EMG Signal Decomposition.- Parametric Modeling of Some Biosignals Using Optimization Metaheuristics.- Nonlinear Analysis of Physiological Time Series.- Biomedical Data Processing Using HHT: A Review.- to Multimodal Compression of Biomedical Data.Concise overview of most all standard method Presents latest developments in Biosignal processing
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