Biological Signals Classification and Analysis

1. Front Matter

   Pages i-xi

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2. Non-Biological Signals

   • Kamran Kiasaleh

   Pages 1-86

3. Linear and Nonlinear Systems

   • Kamran Kiasaleh

   Pages 87-135

4. Biological Signals

   • Kamran Kiasaleh

   Pages 137-174

5. Signal Processing Methods for Biological Signals

   • Kamran Kiasaleh

   Pages 175-275

6. Signal Decomposition Methods

   • Kamran Kiasaleh

   Pages 277-376

7. References and Concluding Remarks

   • Kamran Kiasaleh

   Pages 377-380

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.

• Anti-Aliasing Filter
• Chaotic Systems
• Electrocardiography
• Electroencephalography
• Electromyography
• Magnetoencephalography
• Power Spectrum Density
• Response to Biological Signals
• Signal Decomposition Methods
• Upsampling and Downsampling

“The book is interesting to read and will be useful for researchers interested in the details of suitable algorithms using biological signals for any application … . it is appropriate for students and academics planning to do research specifically with one or more of the discussed algorithms.” (Ramaswamy Palaniappan, Computing Reviews, computingreviews.com, July, 2016)

“The book offers a comprehensive yet well focused exposition of the classification and analysis of biological signals. … The book, divided into six chapters, is well structured and the exposition is clear and carefully thought-out. … useful to students in various courses on biological signal analysis. For practitioners, the volume may also serve as a handy compendium of updated material on biological signal processing.” (Witold Pedrycz, zbMATH 1330.92002, 2016)

• Electrical Engineering, The University of Texas at Dallas, Richardson, USA

  Kamran Kiasaleh

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