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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...
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
London :
Academic Press, an imprint of Elsevier,
[2019]
|
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 245 | 0 | 0 | |a Developments and applications for ECG signal processing : |b modeling, segmentation, and pattern recognition / |c edited by Jo�ao Paulo do Vale Madeiro [and 3 others]. |
| 264 | 1 | |a London : |b Academic Press, an imprint of Elsevier, |c [2019] | |
| 300 | |a 1 online resource | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 504 | |a Includes bibliographical references and index. | ||
| 588 | 0 | |a Online resource; title from PDF title page (EBSCO, Dec. 4, 2018). | |
| 520 | |a 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. | ||
| 505 | 0 | |a 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 | |
| 650 | 0 | |a Electrocardiography |x Data processing. | |
| 650 | 0 | |a Signal processing |x Digital techniques. | |
| 650 | 6 | |a �Electrocardiographie |0 (CaQQLa)201-0037211 |x Informatique. |0 (CaQQLa)201-0380011 | |
| 650 | 6 | |a Traitement du signal |x Techniques num�eriques. |0 (CaQQLa)201-0087536 | |
| 650 | 7 | |a HEALTH & FITNESS |x Diseases |x General. |2 bisacsh | |
| 650 | 7 | |a MEDICAL |x Clinical Medicine. |2 bisacsh | |
| 650 | 7 | |a MEDICAL |x Diseases. |2 bisacsh | |
| 650 | 7 | |a MEDICAL |x Evidence-Based Medicine. |2 bisacsh | |
| 650 | 7 | |a MEDICAL |x Internal Medicine. |2 bisacsh | |
| 650 | 7 | |a Electrocardiography |x Data processing |2 fast |0 (OCoLC)fst00906351 | |
| 650 | 7 | |a Signal processing |x Digital techniques |2 fast |0 (OCoLC)fst01118285 | |
| 700 | 1 | |a Madeiro, Joao Paulo do Vale, |e editor. | |
| 776 | 0 | 8 | |i Print version: |t Developments and applications for ECG signal processing. |d London : Academic Press, an imprint of Elsevier, [2019] |z 0128140356 |z 9780128140352 |w (OCoLC)1033525363 |
| 856 | 4 | 0 | |u https://sciencedirect.uam.elogim.com/science/book/9780128140352 |z Texto completo |