Editors: Juan M. Górriz, Elmar W. Lang , Javier Ramírez

Recent Advances in Biomedical Signal Processing

eBook: US $89 Special Offer (PDF + Printed Copy): US $169
Printed Copy: US $125
Library License: US $356
ISBN: 978-1-60805-570-8 (Print)
ISBN: 978-1-60805-218-9 (Online)
Year of Publication: 2011
DOI: 10.2174/97816080521891110101

Introduction

Biomedical signal processing is a rapidly expanding field with a wide range of applications, from the construction of artificial limbs and aids for disabilities to the development of sophisticated medical imaging systems. Acquisition and processing of biomedical signals has become more important to the physician. The main reasons for this development are the growing complexity of the biomedical examinations, the increasing necessity of comprehensive documentation and the need for automation in order to reduce costs. Analysis of signals accomplished by humans has many limitations, therefore, computer analysis of these signals could provide objective strength to diagnoses; however, the development of an algorithm for biomedical signal analysis is a significant challenge. This ebook will cover biomedical signal processing as used in both therapeutic and diagnostic instrumentation. A number of current research projects are also outlined with emphasis on intelligent medical image diagnosis. This book should be a valuable reference for researchers, professionals and technical experts working in the fields of Biomedical Signal processing (BSP) including applications, filtering and registration techniques, reconstruction and normalization algorithms, technical experts requiring an understanding of processing and analyzing biomedical signals, as well as postgraduate students working on image processing and novel signal processing paradigms applied to BSP.

About the Editors'

- Pp. i
Juan Manuel Górriz, Elmar W. Lang and Javier Ramírez
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Foreword

- Pp. ii
Jose Principe
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Preface

- Pp. iii
Juan Manuel Górriz, Elmar W. Lang and Javier Ramírez
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Contributors

- Pp. iv-xiii (10)
Juan Manuel Górriz, Elmar W. Lang and Javier Ramírez
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Decomposition Techniques In Neuroscience

- Pp. 1-25 (25)
M. De Vos, Lieven De Lathauwer and S. Van Huffel

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Exploratory Matrix Factorization Techniques for Large Scale Biomedical Data Sets

- Pp. 26-47 (22)
E.W. Lang, R. Schachtner, D. Lutter, D. Herold, A. Kodewitz, F. Blochl, F. J. Theis, I. R. Keck, J.M Gorriz Saezd, P. Gomez, P. Gomez Vildae and A. M. Tomec

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Subspace Techniques and Biomedical Time Series Analysis

- Pp. 48-59 (12)
A. M. Tome, A. R. Teixeira and E. W. Lang

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Empirical Mode Decomposition Techniques for Biomedical Time Series Analysis

- Pp. 60-81 (22)
A. Zeiler, R. Faltermeier, M. Bohm, I. R. Keck, A.M. Tome, C. G. Puntonet, A. Brawanski and E.W. Lang

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A Comparison between Univariate and Multivariate Supervised Learning for Classification of SPECT Images

- Pp. 82-94 (13)
F. Segovia, J. M. Gorriz, J. Ramirez, D. Salas-Gonzalez, I. A. Illan, M. Lopez, R. Chaves and P. Padilla

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Functional Brain Image Preprocessing For Computer Aided Diagnosis Systems

- Pp. 95-106 (12)
R. Chaves, D. Salas-Gonzalez, J. Ramirez, J. M. Gorriz, M. Lopez, I. Alvarez and F. Segoviaa

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Functional Image Classification Techniques For Early Alzheimer’s Disease Detection

- Pp. 107-122 (16)
I. Alvarez-Illan, Miriam M. Lopez, J. M. Gorriz, J. Ramirez, F. Segovia, D. Salas-Gonzalez, R. Chaves and C. G. Puntonet

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Time-Frequency Analysis of MEG activity in Alzheimer’s Disease

- Pp. 123-140 (18)
J. Poza and R. Hornero

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Machine Learning Approach for Myotonic Dystrophy Diagnostic Support from MRI

- Pp. 141-148 (8)
Alexandre Savio, Maite Garcia-Sebastian, Andone Sistiaga, Darya Chyzhyk, Esther Fernandez, Fermin Moreno, Elsa Fernandez, Manuel Grana, Jorge Villanua and Adolfo Lopez de Munain

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Finding Gold in The Dirt - Biomedical Artifacts in The Light of ICA

- Pp. 149-156 (8)
I. R. Keck, V. Fischer, C. G. Puntonet, A. M.Tome and E. W. Lang

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Are We to Integrate Previous Information into Microarray Analyses? Interpretation of a Lmx1b-Knockout Experiment

- Pp. 157-170 (14)
Florian Blochl, Anne Rascle, Jurgen Kastner, Ralph Witzgall, Elmar W. Lang and Fabian J. Theis

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Mixed Effects Models for Single-Trial ERP Detection in Noninvasive Brain Computer Interface Design

- Pp. 171-180 (10)
Yonghong Huang, Deniz Erdogmus, Kenneth Hild II, Misha Pavel and Santosh Mathan

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Learning Sparse Similarity Functions for Heart Wall Motion Abnormality Detection

- Pp. 181-190 (10)
Glenn Fung

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Using Spatial Diversity in the Estimation of Atrial Fibrillatory Activity from the Electrocardiogram

- Pp. 191-215 (25)
R. Phlypo, P. Bonizzi, O. Meste and V. Zarzoso

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Ultrasound Image Analysis. Methods and Applications

- Pp. 216-230 (15)
J. Marti, A. Gubern-Merida, J. Massich, A. Oliver, J. C. Vilanova, J. Comet, E. Perez, M. Arzoz and R. Marti

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Reconstruction and Analysis of Intravascular Ultrasound Sequences

- Pp. 231-250 (20)
Francesco Ciompi, Carlo Gatta, Oriol Pujol, Oriol Rodriguez-Leor, Josepa Mauri Ferre and Petia Radeva

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Human Body Position Monitoring

- Pp. 251-268 (18)
Alberto Olivares, J. M. Gorriz, J. Ramirez and Gonzalo Olivares

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Index

- Pp. 269-271 (3)
Juan M. Gorriz, Elmar W. Lang and Javier Ramirez
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