Advanced Methods of Physiological System Modeling, Volume 3

Marmarelis, Vasilis Z., ed.

ISBN 10: 030644819X / ISBN 13: 9780306448195

Published by Plenum Press, in cooperation with Biomedical Simulations Resource, USC, Los Angeles., 1994

About this Item

8vo, hardcover. Vol. 3. No dj. Vg+ condition. 2 non-circulating ex-lib stamps on 2 early pgs (only markings), exterior faintly rubbed w/ a few tiny nicks at bottom board edges; contents bright, crisp & clean, virtually unopened. 272 pp.

Seller Inventory # 1051115.64

Bibliographic Details

• Title: Advanced Methods of Physiological System Modeling, Volume 3
• Publisher: Plenum Press, in cooperation with Biomedical Simulations Resource, USC, Los Angeles.
• Publication Date: 1994
• Language: English
• ISBN 10: 030644819X
• ISBN 13: 9780306448195
• Binding: Hardcover
• Condition: Very Good

About this title

Synopsis

This volume is the third in a series entitled" Advanced Methods of Physiological System Modeling" and the fifth in a series of research volumes published by Plenum under the sponsorship of the Biomedical Simulations Resource (BMSR) at the Uni­ versity of Southern California in the context of dissemination activities supported by the Biomedical Research Technology Program of the National Center for Research Resources at the National Institutes of Health under Grant No. P41 RR-OI861. These volumes are edited by BMSR principal scientists and report on recent research de­ velopments in the area of physiological systems modeling, as well as on advanced methods for analysis of physiological signals and data. As in the previous two volumes of this series, the work reported herein is con­ cerned with the development of advanced modeling methodologies and their novel application to problems of biomedical interest, with emphasis on nonlinear aspects of physiological function. The term "advanced methodologies" is used to indicate that the scope of this work extends beyond the ordinary type of analysis, which is confined traditionally to the linear domain. As the importance of nonlinearities in understanding the complex mechanisms of physiological function is increasingly recognized, the need for effective and practical modeling methodologies that address the issue of nonlinear dynamics in life sciences becomes more and more pressing.