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Signal Processing Techniques for Computational Health Informatics

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Cover of 'Signal Processing Techniques for Computational Health Informatics'

Table of Contents

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    Book Overview
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    Chapter 1 Origin and Dynamics of Biomedical Signals
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    Chapter 2 Signal Artifacts and Techniques for Artifacts and Noise Removal
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    Chapter 3 Time-Frequency Analysis in Health Informatics
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    Chapter 4 Complexity Analysis in Health Informatics
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    Chapter 5 Entropy Analysis in Health Informatics
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    Chapter 6 Image Processing in Health Informatics
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    Chapter 7 Artificial Intelligence, Machine Learning and Reasoning in Health Informatics—An Overview
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    Chapter 8 Health Information Retrieval
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    Chapter 9 Reconfigurable Computing and Hardware Acceleration in Health Informatics
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    Chapter 10 Health Informatics: Challenges and Opportunities
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    Chapter 11 Mental Health and Sensing
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    Chapter 12 Artificial Intelligence, Machine Learning and Reasoning in Health Informatics—Case Studies
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    Chapter 13 Risk Prediction with Machine Learning in Cesarean Section: Optimizing Healthcare Operational Decisions
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    Chapter 14 Automatic Epileptic Seizures Detection and EEG Signals Classification Based on Multi-domain Feature Extraction and Multiscale Entropy Analysis
Attention for Chapter 14: Automatic Epileptic Seizures Detection and EEG Signals Classification Based on Multi-domain Feature Extraction and Multiscale Entropy Analysis
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