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Advanced Biosignal Processing Book

Advanced Biosignal Processing
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Advanced Biosignal Processing, 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 par, Advanced Biosignal Processing
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  • Advanced Biosignal Processing
  • Written by author Nait-Ali, Amine
  • Published by Springer-Verlag New York, LLC, 12/16/2010
  • 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 par
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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


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Advanced Biosignal Processing, 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 par, Advanced Biosignal Processing

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Advanced Biosignal Processing, 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 par, Advanced Biosignal Processing

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