Nardulli G., Stramaglia s. (eds.) Modelling Biomedical Signals

World Scientific, 2002. — 293 p.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.Analysis and Models of Biomedical Data by Theoretical Physics Methods
The Cluster Variation Method for Approximate Reasoning in Medical Diagnosis
Analysis of EEG in Epilepsy
Stochastic Approaches to Modeling of Physiological Rhythms
Chaotic Parameters in Time Series of ECG, Respiratory Movements and Arterial Pressure
Computer Analysis of Acoustic Respiratory Signals
The Immune System: B Cell Binding to Multivalent Antigen
Stochastic Models of Immune System Aging
Neural Networks and Neurosciences
Artificial Neural Networks in Neuroscience
Biological Neural Networks: Modeling and Measurements
Selectivity Property of a Class of Energy Based Learning Rules in Presence of Noisy Signals
Pathophysiology of Schizophrenia: fMRI and Working Memory
ANN for Electrophysiological Analysis of Neurological Disease
Detection of Multiple Sclerosis Lesions in Mri's with Neural Networks
Monitoring Respiratory Mechanics Using Artificial Neural Networks
Genomics and Molecular Biology
Cluster Analysis of DNA-Chip Data
Clustering mtDNA Sequences for Human Evolution Studies
Finding Regulatory Sites from Statistical Analysis of Nucleotide Frequencies in the Upstream Region of Eukaryotic Genes
Regulation of Early Growth Response-l Gene Expression and Signaling Mechanisms in Neuronal Cells: Physiological Stimulation and Stress
Geometrical Aspects of Protein Folding
The Physics of Motor Proteins
Phasing Proteins: Experimental Loss of Information and its Recovery