Advanced Biosignal Processing
Through 17 chapters, this book presents the principle of many advanced biosignal processing techniques. After an important chapter introducing the main biosignal properties as well as the most recent acquisition techniques, it highlights five specific parts which build the body of this book. Each pa...
Gardado en:
| Autor Principal: | |
|---|---|
| Formato: | Livre numérique |
| Idioma: | Anglais |
| Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer
[20..].
Cham : Springer Nature |
| Acceso en liña: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Advanced biosignal processing, Amine Naït-Ali (ed.), Berlin, Springer, 2009, 1 vol. (XVI-378 p.), 978-3-540-89505-3 |
Table des matières:
- Biosignals: Acquisition and General Properties Extraction of ECG Characteristics Using Source Separation Techniques: Exploiting Statistical Independence and Beyond ECG Processing for Exercise Test Statistical Models Based ECG Classification Heart Rate Variability Time-Frequency Analysis for Newborn Seizure Detection Adaptive Tracking of EEG Frequency Components From EEG Signals to Brain Connectivity: Methods and Applications in Epilepsy Neural Network Approaches for EEG Classification Analysis of Event-Related Potentials Using Wavelet Networks Detection of Evoked Potentials Visual Evoked Potential Analysis Using Adaptive Chirplet Transform Uterine EMG Analysis: Time-Frequency Based Techniques for Preterm Birth Detection Pattern Classification Techniques for EMG Signal Decomposition Parametric Modeling of Some Biosignals Using Optimization Metaheuristics Nonlinear Analysis of Physiological Time Series Biomedical Data Processing Using HHT: A Review to Multimodal Compression of Biomedical Data