A Complete Guide to Atrial Abnormalities: From Computational Analysis to Clinical Applications provides background on all atrial conditions, helps clinicians differentiate between the main atrial diseases, and illustrates the clinical implications of each. Research into atrial dysfunctions has stalled in recent years. However, this book presents important research and prognostic information on the different types of atrial disorders. These include: Interatrial block; Atrial Dyssynchrony; Atrial fibrillation and atrial flutter; Bayés syndrome; Atrial enlargement; Atrial failure.
This book further illuminates atrial involvement in all heart conditions, including cardiogenetic diseases, channelopathies and cardiomyopathies. As population aging increases the epidemic of cardiovascular disease, correct assessment of specific atrial diseases is even more essential in providing patients the best possible care in every situation. A Complete Guide to Atrial Abnormalities: From Computational Analysis to Clinical Applications includes computer-based analyses which cover how targeted, personalized care using big data might improve diagnosis, treatment therapies, and prevention of atrial abnormalities. These innovations include increased understanding of rhythm/rate control, risk of stroke, drugs, structure, imaging, and devices. This book is indispensable in understanding the complex interplay between atrial diseases and overall cardiovascular health.
1. Title of Book - p. i 2. Cover image - p. i 3. Title page - p. ii 4. Table of Contents - p. iii 5. Copyright - p. iv 6. List of contributors - p. xiii 7. Preface - p. xvii 8. Chapter 1. Atrial anatomy and electrophysiology - p. 1 9. Chapter 2. Interatrial block - p. 49 10. Chapter 3. Atrial dyssynchrony, etiology, and consequences - p. 63 11. Chapter 4. Atrial fibrillation and atrial flutter - p. 75 12. Chapter 5. Bayés' syndrome - p. 107 13. Chapter 6. Atrial enlargement - p. 123 14. Chapter 7. Atrial failure - p. 155 15. Chapter 8. Precision medicine approach to atrial remodeling through the clinical interpretation of molecular phenotypes - p. 199 16. Chapter 9. The role of imaging techniques for the evaluation of atrial structure and function: atrial involvement in different heart diseases - p. 221 17. Chapter 10. Artificial intelligence and computational analysis in atrial abnormalities. Present and future of machine learning and deep learning models in the study of atrial conditions - p. 263 18. Index - p. 295
A Complete Guide to Atrial Abnormalities: From Computational Analysis to Clinical Applications provides background on all atrial conditions, helps clinicians differentiate between the main atrial diseases, and illustrates the clinical implications of each. Research into atrial dysfunctions has stalled in recent years. However, this book presents important research and prognostic information on the different types of atrial disorders. These include: Interatrial block; Atrial Dyssynchrony; Atrial fibrillation and atrial flutter; Bayés syndrome; Atrial enlargement; Atrial failure.
This book further illuminates atrial involvement in all heart conditions, including cardiogenetic diseases, channelopathies and cardiomyopathies. As population aging increases the epidemic of cardiovascular disease, correct assessment of specific atrial diseases is even more essential in providing patients the best possible care in every situation. A Complete Guide to Atrial Abnormalities: From Computational Analysis to Clinical Applications includes computer-based analyses which cover how targeted, personalized care using big data might improve diagnosis, treatment therapies, and prevention of atrial abnormalities. These innovations include increased understanding of rhythm/rate control, risk of stroke, drugs, structure, imaging, and devices. This book is indispensable in understanding the complex interplay between atrial diseases and overall cardiovascular health.
1. Title of Book - p. i 2. Cover image - p. i 3. Title page - p. ii 4. Table of Contents - p. iii 5. Copyright - p. iv 6. List of contributors - p. xiii 7. Preface - p. xvii 8. Chapter 1. Atrial anatomy and electrophysiology - p. 1 9. Chapter 2. Interatrial block - p. 49 10. Chapter 3. Atrial dyssynchrony, etiology, and consequences - p. 63 11. Chapter 4. Atrial fibrillation and atrial flutter - p. 75 12. Chapter 5. Bayés' syndrome - p. 107 13. Chapter 6. Atrial enlargement - p. 123 14. Chapter 7. Atrial failure - p. 155 15. Chapter 8. Precision medicine approach to atrial remodeling through the clinical interpretation of molecular phenotypes - p. 199 16. Chapter 9. The role of imaging techniques for the evaluation of atrial structure and function: atrial involvement in different heart diseases - p. 221 17. Chapter 10. Artificial intelligence and computational analysis in atrial abnormalities. Present and future of machine learning and deep learning models in the study of atrial conditions - p. 263 18. Index - p. 295
