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About this book
In studying physiological systems bioscientists are continually faced with the problem of providing descriptions of cause-effect relationships. This task is usually carried out through the performance of stimulus-response experiments. In the past, the design of such experiments has been ad hoc, incomplete, and certainly inefficient. Worse yet, bioscientists have failed to take advantage of advances in fields directly related to their problems (specifically, advances in the area of systems analysis). The raison d'etre of this book is to rectify this deficiency by providing the physiologist with methodological tools that will be useful to him or her in everyday labora tory encounters with physiological systems. The book was written so that it would be practical, useful, and up-to date. With this in mind, parts of it give step-by-step descriptions of in the laboratory. It is hoped that this systematic procedures to be followed will increase the usefulness of the book to the average research physiologist and, perhaps, reduce the need for in-depth knowledge of some of the associated mathematics. Even though the material deals with state-of-the art techniques in systems and signal analysis, the mathematical level has been kept low so as to be comprehensible to the average physiologist with no extensive training in mathematics. To this end, mathematical rigor is often sacrificed readily to intuitive simple arguments.
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Table of contents (12 chapters)
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Front Matter
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Back Matter
Authors and Affiliations
Bibliographic Information
Book Title: Analysis of Physiological Systems
Book Subtitle: The White-Noise Approach
Authors: Panos Z. Marmarelis, Vasilis Z. Marmarelis
Series Title: Computers in Biology and Medicine
DOI: https://doi.org/10.1007/978-1-4613-3970-0
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media New York 1978
Softcover ISBN: 978-1-4613-3972-4Published: 29 December 2011
eBook ISBN: 978-1-4613-3970-0Published: 06 December 2012
Edition Number: 1
Number of Pages: XVI, 488
Number of Illustrations: 75 b/w illustrations
Topics: Neurosciences