Developments and Applications for ECG Signal Processing
Modeling, Segmentation, and Pattern Recognition

Presents current applications and developments for ECG signal processing

Joao Paulo do Vale Madeiro (Edited by), Paulo Cesar Cortez (Edited by), José Maria Da Silva Monteiro Filho (Edited by), Angelo Roncalli Alencar Brayner (Edited by)

9780128140352

Paperback / softback, published 5 December 2018

210 pages
23.4 x 19 x 1.5 cm, 0.45 kg

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.

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

Subject Areas: Signal processing [UYS], Other manufacturing technologies [TDP], Electricity, electromagnetism & magnetism [PHK]