Developments and Applications for ECG Signal Processing: Modeling, Segmentation, and Pattern Recognition
Format:
Paperback
En stock
0.63 kg
Sí
Nuevo
Amazon
USA
- 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 processingPresents development and parametrization techniques for ECG signal acquisition systemsAnalyzes and compares distortions caused by different digital filtering techniques for noise suppression applied over the ECG signalDescribes how to identify if a digitized ECG signal presents irreversible distortion through analysis of its frequency components prior to, and after, filteringConsiders how to enhance QRS complexes and differentiate these from artefacts, noise, and other characteristic waves under different scenarios
IMPORTÁ FACIL
Comprando este producto podrás descontar el IVA con tu número de RUT
NO CONSUME FRANQUICIA
Si tu carrito tiene solo libros o CD’s, no consume franquicia y podés comprar hasta U$S 1000 al año.