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PART 1 INTRODUCTION
CHAPTER 1 Introduction to this book
CHAPTER 2 Biosignals analysis (heart, phonatory system, and muscles)
CHAPTER 3 Neuroimaging techniques
PART 2 BIOSIGNAL PROCESSING: FROM BIOSIGNALS TO FEATURES'
DATASETS
CHAPTER 4 Pre-processing and feature extraction
CHAPTER 5 Dimensionality reduction
PART 3 COMPUTATIONAL LEARNING (MACHINE LEARNING)
CHAPTER 6 A brief introduction to supervised, unsupervised, and reinforcement learning
CHAPTER 7 Assessing classifier's performance
PART 4 COMPUTATIONAL INTELLIGENCE
CHAPTER 8 Fuzzy logic and fuzzy systems
CHAPTER 9 Neural networks and deep learning
CHAPTER 10 Spiking neural networks and dendrite morphological neural networks: an
introduction
CHAPTER 11 Bio-inspired algorithms
PART 5 APPLICATIONS AND REVIEWS
CHAPTER 12 A survey on EEG-based imagined speech classification
CHAPTER 13 P300-based brain-computer interface for communication and control
CHAPTER 14 EEG-based subject identification with multi-class classification
CHAPTER 15 Emotion recognition: from speech and facial expressions
CHAPTER 16 Trends and applications of ECG analysis and classification
CHAPTER 17 Analysis and processing of infant cry for diagnosis purposes
CHAPTER 18 Physics augmented classification of fNIRS signals
CHAPTER 19 Evaluation of mechanical variables by registration and analysis of
electromyographic activity
CHAPTER 20 A review on machine learning techniques for acute leukemia classification
CHAPTER 21 Attention deficit and hyperactivity disorder classification with EEG and
machine learning
CHAPTER 22 Representation for event-related fMRI
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