Computational Intelligence in Biomedical Engineering

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Introduction
Biomedical Systems
Bioelectric Signals and Electrode Theory
Signal Processing and Feature Extraction
Computational Intelligence Techniques
Chapter Overview
Book Usage
Biomedical Signal Processing
Signals and Signal Systems
Signal Transforms
Spectral Analysis and Estimation
Analog Filters
Digital Filters
Adaptive Filters
Computational Intelligence Techniques
Computational Intelligence: A Fusion of Paradigms
Artificial Neural Networks
Support Vector Machines
Hidden Markov Models
Fuzzy Sets and Fuzzy Logic
Hybrid Systems
Computational Intelligence in Cardiology and Heart Disease Diagnosis
The Human Heart
The ECG Waveform
The Electrocardiogram
Cardiovascular Diseases
ECG Feature Extraction Methods
Computational Intelligence for Diagnosis of Cardiovascular Diseases
Computational Intelligence in Analysis of Electromyography Signals
The Human Muscle Physiology
Neuromuscular Disorders
The Electromyograph
Electromyograph Signal-Processing Methods
Classification of Neuromuscular Disease
Prostheses and Orthotics
Computational Intelligence in Electroencephalogram Analysis
Computational Intelligence in EEG Analysis
BrainâÇôComputer Interfaces
Computational Intelligence in Gait and Movement Pattern Analysis
Gait Measurement and Analysis Techniques
Gait in Various Populations
CI Techniques in Gait Analysis
Summary and Future Trends
Overview of Progress
Future Challenges and Research Areas
Emerging and Future Technologies in Healthcare
Index
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