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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