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Developments and Applications for ECG Signal Processing - Modeling, Segmentation, and Pattern Recognition (Paperback)
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Developments and Applications for ECG Signal Processing - Modeling, Segmentation, and Pattern Recognition (Paperback)
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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.
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