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| Titre : | Modelling Biomedical Signals |
| Auteurs : | Giuseppe Nardulli, Auteur ; Sebastiano Stramaglia, Auteur |
| Type de document : | document électronique |
| Editeur : | World scientific, 2002 |
| ISBN/ISSN/EAN : | 978-981-277-805-5 |
| Format : | 292p. / PDF |
| Langues: | Anglais |
| Langues originales: | Anglais |
| Index. décimale : | 621.382 2 (Traitement du signal (Théorie de l'information dans les techniques de télécommunications)) |
| Catégories : | |
| Mots-clés: | Biomedical Signals |
| Résumé : | Abstract:In the last few years, concepts and methodologies initially developed in physics have found high applicability in many different areas. This book, a result of cross-disciplinary interaction among physicists, biologists and physicians, covers several topics where methods and approaches rooted in physics are successfully applied to analyze and to model biomedical data. Included are papers on physiological rhythms and synchronization phenomena, gene expression patterns, the immune system, decision support systems in medical science, protein folding and protein crystallography. The volume can be used as a valuable reference for graduate students and researchers at the interface of physics, biology and medicine.The proceedings have been selected for coverage in:• Index to Scientific & Technical Proceedings (ISTP CDROM version / ISI Proceedings) |
| Note de contenu : |
Contents:
Part 1: Analysis and models of biomedical data bytheoretical physics methods Chapter 1: The Cluster Variation Method for Approximate Reasoning inMedical Diagnosis Chapter 2: Analysis of EEG in Epilepsy Chapter 3: Stochastic Approaches to Modeling of Physiological Rhythms Chapter 4: Chaotic Parameters in Time Series of ECG, RespiratoryMovements and Arterial Pressure Chapter 5: Computer Analysis of Acoustic Respiratory Signals Chapter 6: The Immune System: B Cell Binding to Multivalent Antigen Chapter 7: Stochastic Models of Immune System Aging Part 2: Neural networks and neurosciences Chapter 8: Artificial Neural Networks in Neuroscience Chapter 9: Biological Neural Networks: Modeling and Measurements Chapter 10: Selectivity Property of a Class of Energy Based Learning Rules inPresence of Noisy Signals Chapter 11: Pathophysiology of Schizophrenia: fMRI and Working Memory Chapter 12: ANN for Electrophysiological Analysis of Neurological Disease Chapter 13: Detection of Multiple Sclerosis Lesions in Mri's with Neural Networks Chapter 14: Monitoring Respiratory Mechanics Using Artificial Neural Networks Part3: Enomics and molecular biology Chapter 15: Cluster Analysis of DNA-Chip Data Chapter 16: Clustering mtDNA Sequences for Human Evolution Studies Chapter 17: Finding Regulatory Sites from Statistical Analysis of NucleotideFrequencies in the Upstream Region of Eukaryotic Genes Chapter 18: Regulation of Early Growth Response-l Gene Expression and SignalingMechanisms in Neuronal Cells: Physiological Stimulation and Stress Chapter 19: Geometrical Aspects of Protein Folding Chapter 20: The Physics of Motor Proteins Chapter 21: Phasing Proteins: Experimental Loss of Information and itsRecovery . |
Exemplaires (1)
| Cote | Support | Localisation | Section | Disponibilité |
|---|---|---|---|---|
| F8/12816 | E-Book Téléchargeable (PDF) | Bibliothèque de la Faculté de Technologie | Digital library | Téléchargeable Disponible |
