Developments and Applications for ECG Signal Processing
Modeling, Segmentation, and Pattern Recognition
Häftad, Engelska, 2018
Av Joao Paulo do Vale Madeiro, Paulo Cesar Cortez, Jos� Maria Da Silva Monteiro Filho, Angelo Roncalli Alencar Brayner, José Maria Da Silva Monteiro Filho, Brazil) do Vale Madeiro, Joao Paulo (Professor, University for the International Integration of the Afro-Brazilian Lusophony, Sao Francisco do Conde, Brazil) Cortez, Paulo Cesar (Professor, Department of Teleinformatics Engineering, Federal University of Ceara (UFC), Brazil) Da Silva Monteiro Filho, Jose Maria (Federal University of Ceara, Campus do Pici, Fortaleza, Brazil) Brayner, Angelo Roncalli Alencar (Federal University of Ceara, Campus do Pici, Fortaleza, Joao Paulo Do Vale Madeiro, Joao Paulo do Vale Madeiro
1 679 kr
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.
- Gives comprehensive coverage of ECG signal processing
- Presents development and parametrization techniques for ECG signal acquisition systems
- Analyzes and compares distortions caused by different digital filtering techniques for noise suppression applied over the ECG signal
- Describes how to identify if a digitized ECG signal presents irreversible distortion through analysis of its frequency components prior to, and after, filtering
- Considers how to enhance QRS complexes and differentiate these from artefacts, noise, and other characteristic waves under different scenarios
Produktinformation
- Utgivningsdatum2018-12-05
- Mått191 x 235 x undefined mm
- Vikt450 g
- SpråkEngelska
- Antal sidor210
- FörlagElsevier Science
- EAN9780128140352