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Title Developments and applications for ECG signal processing : modeling, segmentation, and pattern recognition / edited by João Paulo do Vale Madeiro [and 3 others]
Published London : Academic Press, an imprint of Elsevier, [2019]
Online access available from:
ScienceDirect eBooks    View Resource Record  
ScienceDirect eBooks    View Resource Record  


Description 1 online resource
Summary Developments and Applications for ECG Signal Processing: Modeling, Segmentation, and Pattern Recognition covers reliable techniques for ECG signal processing and their potential to significantly increase the applicability of ECG use in diagnosis. This book details a wide range of challenges in the processes of acquisition, preprocessing, segmentation, mathematical modelling and pattern recognition in ECG signals, presenting practical and robust solutions based on digital signal processing techniques. Users will find this to be a comprehensive resource that contributes to research on the automatic analysis of ECG signals and extends resources relating to rapid and accurate diagnoses, particularly for long-term signals. Chapters cover classical and modern features surrounding f ECG signals, ECG signal acquisition systems, techniques for noise suppression for ECG signal processing, a delineation of the QRS complex, mathematical modelling of T- and P-waves, and the automatic classification of heartbeats
Bibliography Includes bibliographical references and index
Notes Online resource; title from PDF title page (EBSCO, Dec. 4, 2018)
Subject Electrocardiography -- Data processing
Signal processing -- Digital techniques
Electrocardiography -- Data processing.
HEALTH & FITNESS / Diseases / General.
MEDICAL / Clinical Medicine.
MEDICAL / Diseases.
MEDICAL / Evidence-Based Medicine.
MEDICAL / Internal Medicine.
Signal processing -- Digital techniques.
Form Electronic book
Author Madeiro, Joao Paulo do Vale, editor
ISBN 0128140364 (electronic bk.)
9780128140369 (electronic bk.)