Leif Sornmo's Books

Understanding Atrial Fibrillation

The Signal Processing Contribution, Part I

By: Luca Mainardi,Leif Sornmo

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Understanding Atrial Fibrillation

The Signal Processing Contribution, Part I

By: Luca Mainardi,Leif Sornmo

The book presents recent advances in signal processing techniques for modeling, analysis, and understanding of the heart's electrical activity during atrial fibrillation. This arrhythmia is the most commonly encountered in clinical practice and its complex and metamorphic nature represents a challenging problem for clinicians, engineers, and scientists. Research on atrial fibrillation has stimulated the development of a wide range of signal processing tools to better understand the mechanisms ruling its initiation, maintenance, and termination. This book provides undergraduate and graduate students, as well as researchers and practicing engineers, with an overview of techniques, including time domain techniques for atrial wave extraction, time-frequency analysis for exploring wave dynamics, and nonlinear techniques to characterize the ventricular response and the organization of atrial activity. The book includes an introductory chapter about atrial fibrillation and its mechanisms, treatment, and management. The successive chapters are dedicated to the analysis of atrial signals recorded on the body surface and to the quantification of ventricular response. The rest of the book explores techniques to characterize endo- and epicardial recordings and to model atrial conduction. Under the appearance of being a monothematic book on atrial fibrillation, the reader will not only recognize common problems of biomedical signal processing but also discover that analysis of atrial fibrillation is a unique challenge for developing and testing novel signal processing tools. Table of Contents: Part I / Introduction to Atrial Fibrillation: From Mechanisms to Treatment / Time Domain Analysis of Atrial Fibrillation / Atrial Activity Extraction from the ECG / Time-Frequency Analysis of Atrial Fibrillation

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Page Count

109

Publisher

Springer Nature

Published Date

ISBN 10

3031016335

ISBN 13

9783031016332

Bioelectrical Signal Processing in Cardiac and Neurological Applications

By: Leif Sörnmo,Pablo Laguna

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Bioelectrical Signal Processing in Cardiac and Neurological Applications

By: Leif Sörnmo,Pablo Laguna

The analysis of bioelectrical signals continues to receive wide attention in research as well as commercially because novel signal processing techniques have helped to uncover valuable information for improved diagnosis and therapy. This book takes a unique problem-driven approach to biomedical signal processing by considering a wide range of problems in cardiac and neurological applications–the two "heavyweight" areas of biomedical signal processing. The interdisciplinary nature of the topic is reflected in how the text interweaves physiological issues with related methodological considerations. Bioelectrical Signal Processing is suitable for a final year undergraduate or graduate course as well as for use as an authoritative reference for practicing engineers, physicians, and researchers. - A problem-driven, interdisciplinary presentation of biomedical signal processing - Focus on methods for processing of bioelectrical signals (ECG, EEG, evoked potentials, EMG) - Covers both classical and recent signal processing techniques - Emphasis on model-based statistical signal processing - Comprehensive exercises and illustrations - Extensive bibliography

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Page Count

689

Publisher

Academic Press

Published Date

ISBN 10

0080527922

ISBN 13

9780080527925

Bioelectrical Signal Processing in Cardiac and Neurological Applications

By: Leif Sörnmo,Pablo Laguna

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Bioelectrical Signal Processing in Cardiac and Neurological Applications

By: Leif Sörnmo,Pablo Laguna

The analysis of bioelectrical signals continues to receive wide attention in research as well as commercially because novel signal processing techniques have helped to uncover valuable information for improved diagnosis and therapy. This book takes a unique problem-driven approach to biomedical signal processing by considering a wide range of problems in cardiac and neurological applications-the two "heavyweight" areas of biomedical signal processing. The interdisciplinary nature of the topic is reflected in how the text interweaves physiological issues with related methodological considerations. Bioelectrical Signal Processing is suitable for a final year undergraduate or graduate course as well as for use as an authoritative reference for practicing engineers, physicians, and researchers. A problem-driven, interdisciplinary presentation of biomedical signal processing Focus on methods for processing of bioelectrical signals (ECG, EEG, evoked potentials, EMG) Covers both classical and recent signal processing techniques Emphasis on model-based statistical signal processing Comprehensive exercises and illustrations Extensive bibliography

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Page Count

690

Publisher

Academic Press

Published Date

ISBN 10

0124375529

ISBN 13

9780124375529

Understanding Atrial Fibrillation

The Signal Processing Contribution

By: Luca Mainardi,Leif Sornmo,Sergio Cerutti

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Understanding Atrial Fibrillation

The Signal Processing Contribution

By: Luca Mainardi,Leif Sornmo,Sergio Cerutti

The book presents recent advances in signal processing techniques for modeling, analysis, and understanding of the heart's electrical activity during atrial fibrillation. This arrhythmia is the most commonly encountered in clinical practice and its complex and metamorphic nature represents a challenging problem for clinicians, engineers, and scientists. Research on atrial fibrillation has stimulated the development of a wide range of signal processing tools to better understand the mechanisms ruling its initiation, maintenance, and termination. This book provides undergraduate and graduate students, as well as researchers and practicing engineers, with an overview of techniques, including time domain techniques for atrial wave extraction, time-frequency analysis for exploring wave dynamics, and nonlinear techniques to characterize the ventricular response and the organization of atrial activity. The book includes an introductory chapter about atrial fibrillation and its mechanisms, treatment, and management. The successive chapters are dedicated to the analysis of atrial signals recorded on the body surface and to the quantification of ventricular response. The rest of the book explores techniques to characterize endo- and epicardial recordings and to model atrial conduction. Under the appearance of being a monothematic book on atrial fibrillation, the reader will not only recognize common problems of biomedical signal processing but also discover that analysis of atrial fibrillation is a unique challenge for developing and testing novel signal processing tools. Table of Contents: Analysis of Ventricular Response During Atrial Fibrillation / Organization Measures of Atrial Activity During Fibrillation / Modeling Atrial Fibrillation: From Myocardial Cells to ECG / Algorithms for Atrial Tachyarrythmia Detection for Long-Term Monitoring with Implantable Devices

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Page Count

129

Publisher

Morgan & Claypool Publishers

Published Date

ISBN 10

1598292978

ISBN 13

9781598292978

Understanding Atrial Fibrillation

The Signal Processing Contribution, Part I

By: Luca Mainardi,Leif Sornmo

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Understanding Atrial Fibrillation

The Signal Processing Contribution, Part I

By: Luca Mainardi,Leif Sornmo

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Page Count

109

Publisher

Springer Nature

Published Date

ISBN 10

3031016335

ISBN 13

9783031016332

Understanding Atrial Fibrillation

The Signal Processing Contribution, Part II

By: Luca Mainardi,Leif Sornmo

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Understanding Atrial Fibrillation

The Signal Processing Contribution, Part II

By: Luca Mainardi,Leif Sornmo

The book presents recent advances in signal processing techniques for modeling, analysis, and understanding of the heart's electrical activity during atrial fibrillation. This arrhythmia is the most commonly encountered in clinical practice and its complex and metamorphic nature represents a challenging problem for clinicians, engineers, and scientists. Research on atrial fibrillation has stimulated the development of a wide range of signal processing tools to better understand the mechanisms ruling its initiation, maintenance, and termination. This book provides undergraduate and graduate students, as well as researchers and practicing engineers, with an overview of techniques, including time domain techniques for atrial wave extraction, time-frequency analysis for exploring wave dynamics, and nonlinear techniques to characterize the ventricular response and the organization of atrial activity. The book includes an introductory chapter about atrial fibrillation and its mechanisms, treatment, and management. The successive chapters are dedicated to the analysis of atrial signals recorded on the body surface and to the quantification of ventricular response. The rest of the book explores techniques to characterize endo- and epicardial recordings and to model atrial conduction. Under the appearance of being a monothematic book on atrial fibrillation, the reader will not only recognize common problems of biomedical signal processing but also discover that analysis of atrial fibrillation is a unique challenge for developing and testing novel signal processing tools. Table of Contents: Analysis of Ventricular Response During Atrial Fibrillation / Organization Measures of Atrial Activity During Fibrillation / Modeling Atrial Fibrillation: From Myocardial Cells to ECG / Algorithms for Atrial Tachyarrythmia Detection for Long-Term Monitoring with Implantable Devices

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Page Count

122

Publisher

Springer Nature

Published Date

ISBN 10

3031016327

ISBN 13

9783031016325

Book's by Leif Sornmo

Understanding Atrial Fibrillation

Understanding Atrial Fibrillation

Bioelectrical Signal Processing in Cardiac and Neurological Applications

Bioelectrical Signal Processing in Cardiac and Neurological Applications

Bioelectrical Signal Processing in Cardiac and Neurological Applications

Bioelectrical Signal Processing in Cardiac and Neurological Applications

Understanding Atrial Fibrillation

Understanding Atrial Fibrillation

Understanding Atrial Fibrillation

Understanding Atrial Fibrillation

Understanding Atrial Fibrillation

Understanding Atrial Fibrillation

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