Computer-aided Design and Diagnosis Methods for Biomedical Applications
eBook - ePub

Computer-aided Design and Diagnosis Methods for Biomedical Applications

  1. 368 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Computer-aided Design and Diagnosis Methods for Biomedical Applications

Book details
Table of contents
Citations

About This Book

Computer-aided design (CAD) plays a key role in improving biomedical systems for various applications. It also helps in the detection, identification, predication, analysis, and classification of diseases, in the management of chronic conditions, and in the delivery of health services. This book discusses the uses of CAD to solve real-world problems and challenges in biomedical systems with the help of appropriate case studies and research simulation results. Aiming to overcome the gap between CAD and biomedical science, it describes behaviors, concepts, fundamentals, principles, case studies, and future directions for research, including the automatic identification of related disorders using CAD.

Features:

Proposes CAD for the study of biomedical signals to understand physiology and to improve healthcare systems' ability to diagnose and identify health disorders.

Presents concepts of CAD for biomedical modalities in different disorders.

Discusses design and simulation examples, issues, and challenges.

Illustrates bio-potential signals and their appropriate use in studying different disorders.

Includes case studies, practical examples, and research directions.

Computer-Aided Design and Diagnosis Methods for Biometrical Applications is aimed at researchers, graduate students in biomedical engineering, image processing, biomedical technology, medical imaging, and health informatics.

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Yes, you can access Computer-aided Design and Diagnosis Methods for Biomedical Applications by Varun Bajaj, G R Sinha in PDF and/or ePUB format, as well as other popular books in Medicine & Medical Theory, Practice & Reference. We have over one million books available in our catalogue for you to explore.

Information

Publisher
CRC Press
Year
2021
ISBN
9781000374322
Edition
1
Topic
Medicine
Subtopic
Medical Theory, Practice & Reference

Table of contents

  1. Cover
  2. Half-Title
  3. Title
  4. Copyright
  5. Dedication
  6. Contents
  7. Preface
  8. Acknowledgments
  9. Editors’ Biographies
  10. Contributors
  11. Chapter 1 Electroencephalogram Signals Based Emotion Classification in Parkinson’s Disease Using Recurrence Quantification Analysis and Non-Linear Classifiers
  12. Chapter 2 Sleep Stage Classification Using DWT and Dispersion Entropy Applied on EEG Signals
  13. Chapter 3 Detection of Epileptic Electroencephalogram Signals Employing Visibility Graph Motifs
  14. Chapter 4 Effect of Various Standing Poses of Yoga on the Musculoskeletal System Using EMG
  15. Chapter 5 Early Detection of Parkinson’s Disease and SWEDD Using SMOTE and Ensemble Classifier
  16. Chapter 6 Computer-aided Design and Diagnosis Method for Cancer Detection
  17. Chapter 7 Automated COVID-19 Detection from CT Images Using Deep Learning
  18. Chapter 8 Suspicious Region Diagnosis in the Brain: A Guide to Using Brain MRI Sequences
  19. Chapter 9 Medical Image Classification Algorithm Based on Weight Initialization-Sliding Window Fusion Convolutional Neural Network
  20. Chapter 10 Positioning the Healthcare Client in Diagnostics and the Validation of Care Intensity
  21. Chapter 11 Computer-aided Diagnosis (CAD) System for Determining Histological Grading of Astrocytoma Based on Ki67 Counting
  22. Chapter 12 Improved Classification Techniques for the Diagnosis and Prognosis of Cancer
  23. Chapter 13 Discovery of Thyroid Disease Using Different Ensemble Methods with Reduced Error Pruning Technique
  24. Chapter 14 Reliable Diagnosis and Prognosis of COVID-19
  25. Chapter 15 Computer-aided Diagnosis Methods for Non-Invasive Imaging of Sub-Skin Lesions
  26. Index