Description
Chapter 1. Feature engineering and computational intelligence in ECG monitoring – an introduction.- Chapter 2. Representative Databases for Feature Engineering and Computational Intelligence in ECG Processing.- Chapter 3. An Overview of signal quality indices on dynamic ECG signal quality assessment.- Chapter 4. Signal quality features in dynamic ECGs.- Chapter 5. Motion Artifact Suppression Method in Wearable ECG.- Chapter 6. Data Augmentation for Deep Learning based ECG analysis.- Chapter 7. Study on Automatic Classification of Arrhythmias.- Chapter 8. ECG Interpretation with deep learning.- Chapter 9. Visualizing ECG contribution into Convolutional Neural Network classification.- Chapter 10. Atrial fibrillation detection in dynamic signals.- Chapter 11. Applications of Heart rate variability in Sleep Apnea.- Chapter 12. False Alarm Rejection for ICU ECG Monitoring.- Chapter 13. Respiratory Signal Extraction from ECG Signal.- Chapter 14. Noninvasive Recording of Cardiac Autonomic Nervous Activity–What’s behind ECG?.- Chapter 15. A questionnaire study on artificial intelligence and its effects on individual health and wearable device.
