Artificial Intelligence in Biomedical and Modern Healthcare Informatics

ISBN-13: 9780443218705 / Angielski

M. A. Ansari; R. S. Anand; Pragati Tripathi

Spis treści

1. Fundamentals of EEG signal Processing .

2. Review on EEG signal modelling and analysis .

3. EEG signal Modelling

4. Signal Transforms and joint time frequency analysis

5. Classification and clustering of Brain signals

6. Blind and Semi-Blind Source Separation

7. Connectivity of Brain Regions

8. Detection and Tracking of Event Related Potentials

9. Emotion Encoding, Regulation and Control

10. Sleep and Sleep Apnoea

11. Brain-Computer Interfacing

12. EEG and MEG Source localization

13. Seizure and Epilepsy

14. Computed Tomography Imaging and Angiography: Principles

15. Characterization of biomedical signals: Feature engineering and extraction

16. Supervised and unsupervised learning . Machine learning in biomedical signal processing with ECG applications

17. Deep EEG: Deep learning in biomedical signal processing with EEG applications

18. Fuzzy logic in medicine

19. Neural network applications in medicine .

20. Analysis and management of sleep data

21. Ontology-based Process for Unstructured Medical Report Mapping

22. A Computer-aided Diagnoses System for Detecting Multiple Ocular Diseases Using Color Retinal Fundus Images

23. A DEFS based System for Differential Diagnosis between Severe Fatty Liver and Cirrhotic Liver using Ultrasound Images

24. Infrared Thermography and Soft Computing for Diabetic Foot Assessment

25. Automated Classification of Hypertension and Coronary Artery Disease Patients by PNN, KNN and SVM Classifiers using HRV Analysis

26. Optimization of ROI Size for Development of Computer Assisted Framework for Breast Tissue Pattern Characterization using Digitized Screen Film Mammograms

27. Optimization of ANN architecture: A review on nature-inspired techniques

28. Ensemble Learning Approach to Motor-Imagery EEG Signal Classification .

29. Medical Images Analysis Based on Multi-Label Classification Methods

30. Figure Search in Biomedical Domain: A Survey of Techniques and Challenges

31. Application of Machine Learning Algorithms for Classification and Security of Diagnostic Images .

32. Bio signals analysis (heart, phonatory system, and muscles)

33. EEG-based subject identification with multi-class classification

34. Trends and applications of ECG analysis and classification