Developments and Applications for ECG Signal Processing Modeling, Segmentation, and Pattern Recognition - Joao Paulo do Vale Madeiro,Paulo Cesar Cortez,José Maria Da Silva Monteiro Filho,Angelo Roncalli Alencar Brayner
Joao Paulo do Vale Madeiro, Paulo Cesar Cortez, José Maria Da Silva Monteiro Filho, Angelo Roncalli Alencar Brayner
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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 si ... Full description
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Description
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.
More Information
| Author | Joao Paulo do Vale Madeiro, Paulo Cesar Cortez, José Maria Da Silva Monteiro Filho, Angelo Roncalli Alencar Brayner |
|---|---|
| Publisher | Elsevier Science |
| Release year | 2018 |
| Cover type | Softcover |
| EAN | 9780128140352 |