Modelling Biomedical Signals

Inbunden, Engelska, 2002

2 190 kr

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Beskrivning

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)

Produktinformation

Utgivningsdatum:2002-05-28
Format:Inbunden
Språk:Engelska
Antal sidor:292
Förlag:World Scientific Publishing Co Pte Ltd
ISBN:9789810248437

Utforska kategorier

Tillämpad fysik inom Naturvetenskap och teknik
Biomedicinsk teknik inom Medicin

Innehållsförteckning

Analysis and models of biomedical data by theoretical physics methods: the cluster variation method for approximate reasoning in medical diagnosis, H.J. Kappen; analysis of EEG in epilepsy, K. Lehnertz et al; stochastic approaches to modelling of physiological rhythms, P.Ch. Ivanov and C.-C. Lo; chaotic parameters in time series of ECG, respiratory movements and arterial pressure, E. Conte and A. Federici; computer analysis of acoustic respiratory signals, A. Vena et al; the immune System - B cell binding to multivalent antigen, G. Bhanot; stochastic models of immune system ageing, L. Mariani et al. Neural networks and neurosciences: artificial neural networks in neuroscience, N. Accornero and M. Capzza; biological neural networks - modelling and measurements, R. Stoop and S. Lecchini; selectivity property of a class of energy based learning rules in presence of noisy signals, A. Bazzani et al; pathophysiology of schizophrenia - fMRI and working memory, G. Blasi and A. Bertolino; ANN for electrophysiological analysis of neurological diseases, R. Bellotti et al; detection of multiple sclerosis lesions in MRIs with neural networks, P. Blonda et al; monitoring respiratory mechanics using artificial neural networks, G. Perchiazzi et al. Genomics and molecular biology: cluster analysis of DNA-chip data, E. Domany; clustering mtDNA sequences for human evolution studies, C. Marangi et al; finding regulatory sites from statistical analysis of nucleotide frequencies in the upstream region of eukaryotic genes, M. Caselle et al; regulation of early growth response-1 gene expression and signalling mechanisms in neuronal cells - physiological stimulation and stress, G. Cibelli; geometrical aspects of protein folding, C. Micheletti; the physics of motor proteins, G. Lattanzi and A. Maritan; phasing proteins - experimental loss of information and its recovery, C. Giacovazzo et al.