Developments and Applications for ECG Signal Processing: Modeling, Segmentation, and Pattern Recognition - Tapa blanda

Reseña del editor

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.

Biografía del autor

João Paulo do Vale Madeiro is Professor at the Institute for Engineering and Sustainable Development (IEDS), at the University for the International Integration of the Afro-Brazilian Lusophony, (UNILAB), Brazil. His research focuses on digital signal processing, computer-aided diagnostic systems, automatic ECG parameter extraction, and the application of non-linear techniques for cardiac signals. He has published widely in leading international journals, and presented at numerous national and international conferences.