Non-Fiction Books:

Developments and Applications for ECG Signal Processing

Modeling, Segmentation, and Pattern Recognition



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Developments and Applications for ECG Signal Processing

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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.
Release date NZ
December 1st, 2018
Edited by Angelo Roncalli Alencar Brayner Edited by Joao Paulo do Vale Madeiro Edited by Jose Maria Da Silva Monteiro Filho Edited by Paulo Cesar Cortez
Country of Publication
United States
Academic Press Inc
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