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...
| Main Authors: | , , , , |
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| Format: | software, multimedia |
| Language: | eng |
| Published: |
London : Academic Press,
2018
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| Subjects: | |
| Online Access: | https://www.sciencedirect.com/book/9780128140352 |
| _version_ | 1796765268486127616 |
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| author | do Vale Madeiro, Joao Paulo, editor 649830 Cortez, Paulo César, editor / 649831 da Silva Monteiro Filho, José Maria, editor 649832 Alencar Brayner, Angelo Roncalli, editor 649833 ScienceDirect (Online service) 7722 |
| author_facet | do Vale Madeiro, Joao Paulo, editor 649830 Cortez, Paulo César, editor / 649831 da Silva Monteiro Filho, José Maria, editor 649832 Alencar Brayner, Angelo Roncalli, editor 649833 ScienceDirect (Online service) 7722 |
| author_sort | do Vale Madeiro, Joao Paulo, editor 649830 |
| collection | OCEAN |
| 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. |
| first_indexed | 2024-03-05T17:21:55Z |
| format | software, multimedia |
| id | KOHA-OAI-TEST:607116 |
| institution | Universiti Teknologi Malaysia - OCEAN |
| language | eng |
| last_indexed | 2024-03-05T17:21:55Z |
| publishDate | 2018 |
| publisher | London : Academic Press, |
| record_format | dspace |
| spelling | KOHA-OAI-TEST:6071162023-09-15T12:31:08ZDevelopments and Applications for ECG Signal Processing : Modeling, Segmentation, and Pattern Recognition / do Vale Madeiro, Joao Paulo, editor 649830 Cortez, Paulo César, editor / 649831 da Silva Monteiro Filho, José Maria, editor 649832 Alencar Brayner, Angelo Roncalli, editor 649833 ScienceDirect (Online service) 7722 software, multimedia Electronic books 631902 London : Academic Press,2018©2018engDevelopments 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.Includes index.Chapter 1 - Classical and Modern Features for Interpretation of ECG Signal -- Chapter 2 - ECG Signal Acquisition Systems -- Chapter 3 - Techniques for Noise Suppression for ECG Signal Processing -- Chapter 4 - Techniques for QRS Complex Detection -- Chapter 5 - Delineation of QRS Complex: Challenges for the Development of Widely Applicable Algorithms -- Chapter 6 - Mathematical Modeling of T-Wave and P-Wave: A Robust Alternative for Detecting and Delineating Those Waveforms -- Chapter 7 - The Issue of Automatic Classification of Heartbeats -- IndexDevelopments 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.Signal processingElectrocardiographyhttps://www.sciencedirect.com/book/9780128140352URN:ISBN:9780128140352Remote access restricted to users with a valid UTM ID via VPN. |
| spellingShingle | Signal processing Electrocardiography do Vale Madeiro, Joao Paulo, editor 649830 Cortez, Paulo César, editor / 649831 da Silva Monteiro Filho, José Maria, editor 649832 Alencar Brayner, Angelo Roncalli, editor 649833 ScienceDirect (Online service) 7722 Developments and Applications for ECG Signal Processing : Modeling, Segmentation, and Pattern Recognition / |
| title | Developments and Applications for ECG Signal Processing : Modeling, Segmentation, and Pattern Recognition / |
| title_full | Developments and Applications for ECG Signal Processing : Modeling, Segmentation, and Pattern Recognition / |
| title_fullStr | Developments and Applications for ECG Signal Processing : Modeling, Segmentation, and Pattern Recognition / |
| title_full_unstemmed | Developments and Applications for ECG Signal Processing : Modeling, Segmentation, and Pattern Recognition / |
| title_short | Developments and Applications for ECG Signal Processing : Modeling, Segmentation, and Pattern Recognition / |
| title_sort | developments and applications for ecg signal processing modeling segmentation and pattern recognition |
| topic | Signal processing Electrocardiography |
| url | https://www.sciencedirect.com/book/9780128140352 |
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