Biological Signals Classification and Analysis

✍ Scribed by Kamran Kiasaleh (auth.)

• Publisher: Springer-Verlag Berlin Heidelberg
• Year: 2015
• Tongue: English
• Leaves: 389
• Series: Lecture Notes in Bioengineering
• Edition: 1
• Category: Library

✦ Synopsis

This authored monograph presents key aspects of signal processing analysis in the biomedical arena. Unlike wireless communication systems, biological entities produce signals with underlying nonlinear, chaotic nature that elude classification using the standard signal processing techniques, which have been developed over the past several decades for dealing primarily with standard communication systems. This book separates what is random from that which appears to be random and yet is truly deterministic with random appearance. At its core, this work gives the reader a perspective on biomedical signals and the means to classify and process such signals. In particular, a review of random processes along with means to assess the behavior of random signals is also provided. The book also includes a general discussion of biological signals in order to demonstrate the inefficacy of the well-known techniques to correctly extract meaningful information from such signals. Finally, a thorough discussion of recently proposed signal processing tools and methods for addressing biological signals is included. The target audience primarily comprises researchers and expert practitioners but the book may also be beneficial for graduate students.

✦ Table of Contents

Front Matter....Pages i-xi
Non-Biological Signals....Pages 1-86
Linear and Nonlinear Systems....Pages 87-135
Biological Signals....Pages 137-174
Signal Processing Methods for Biological Signals....Pages 175-275
Signal Decomposition Methods....Pages 277-376
References and Concluding Remarks....Pages 377-380

✦ Subjects

Biomedical Engineering; Biomedicine general; Signal, Image and Speech Processing; Computer Imaging, Vision, Pattern Recognition and Graphics; Fourier Analysis