Developments and applications for ECG signal processing : modeling, segmentation, and pattern recognition /
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 p...
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| Format: | eBook |
| Language: | English |
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London :
Academic Press, an imprint of Elsevier,
[2019]
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| Online Access: | Connect to the full text of this electronic book |
Table of Contents:
- 1. Classical and Modern Features for Interpretation of ECG signal; 2. ECG signal acquisition systems; 3. Techniques for noise suppression for ECG signal processing; 4. The issue of QRS detection; 5. Delineation of QRS complex: challenges for the development of widely applicable algorithms; 6. Mathematical modelling of T-wave and P-wave: a robust alternative for detecting and delineating those waveforms; 7. The issue of automatic classification of heartbeats