© 2017

Complexity and Nonlinearity in Cardiovascular Signals

  • Riccardo Barbieri
  • Enzo Pasquale Scilingo
  • Gaetano Valenza

Table of contents

  1. Front Matter
    Pages i-viii
  2. Introduction

    1. Front Matter
      Pages 1-1
    2. Michele Orini, Riccardo Barbieri, Mimma Nardelli, Enzo Pasquale Scilingo, Gaetano Valenza
      Pages 3-42
  3. Methods

    1. Front Matter
      Pages 43-43
    2. Meng Hu, Hualou Liang
      Pages 115-138
    3. Nicola Vanello, Luigi Landini
      Pages 139-159
    4. Paolo Paradisi, Paolo Allegrini
      Pages 161-195
    5. Paolo Castiglioni, Marco Di Rienzo, Andrea Faini
      Pages 197-232
    6. Gaetano Valenza, Luca Citi, Enzo Pasquale Scilingo, Riccardo Barbieri
      Pages 233-256
    7. Michele Orini, Pablo Laguna, Luca T. Mainardi, Raquel Bailón
      Pages 257-287
  4. Applications

    1. Front Matter
      Pages 289-289
    2. Chengyu Liu, Alan Murray
      Pages 301-325
    3. Herbert F. Jelinek, David J. Cornforth
      Pages 327-344
    4. Gaetano Valenza, Luca Citi, Antonio Lanata, Claudio Gentili, Riccardo Barbieri, Enzo Pasquale Scilingo
      Pages 345-374
    5. Andrea Romigi, Nicola Toschi
      Pages 375-386
    6. Raúl Alcaraz, José J. Rieta
      Pages 387-426
    7. Maria G. Signorini, Giovanni Magenes, Manuela Ferrario, Maristella Lucchini
      Pages 427-450

About this book


This book reports on the latest advances in complex and nonlinear cardiovascular physiology aimed at  obtaining reliable, effective markers for the assessment of heartbeat, respiratory, and blood pressure dynamics. The chapters describe in detail methods that have been previously defined in theoretical physics such as entropy, multifractal spectra, and Lyapunov exponents, contextualized within physiological dynamics of cardiovascular control, including autonomic nervous system activity. Additionally, the book discusses several application scenarios of these methods. The text critically reviews the current state-of-the-art research in the field that has led to the description of dedicated experimental protocols and ad-hoc models of complex physiology. This text is ideal for biomedical engineers, physiologists, and neuroscientists. 

This book also:

Expertly reviews cutting-edge research, such as recent advances in measuring complexity, nonlinearity, and information-theoretic concepts applied to coupled dynamical systems

Comprehensively describes applications of analytic technique to clinical scenarios such as heart failure, depression and mental disorders, atrial fibrillation, acute brain lesions, and more

Broadens readers' understanding of cardiovascular signals, heart rate complexity, heart rate variability, and nonlinear analysis


Approximate Entropy ARFIMA-GARCH Modelling Atrial Fibrillation Compression Entropy Detrended Fluctuation Analysis Diabetic Cardiac Neuropathy Heart Rate Variability Lyapunov Exponents Poincare Plot Analyses Power Spectra Sample Entropy Statistical Biosignal Processing

Editors and affiliations

  • Riccardo Barbieri
    • 1
  • Enzo Pasquale Scilingo
    • 2
  • Gaetano Valenza
    • 3
  1. 1.Department of Electronics, Informatics and BioengineeringPolitecnico di MilanoMilanItaly
  2. 2.Department of Information Engineering & Bioengineering and Robotics Research Center “E. Piaggio”University of Pisa, School of EngineeringPisaItaly
  3. 3.Department of Information Engineering & Bioengineering and Robotics Research Center “E. Piaggio”University of Pisa, School of EngineeringPisaItaly

About the editors

Riccardo Barbieri is a Professor in the Department of Electronics, Informatics and Bioengineering at the Politecnico di Milano, in Milan, Italy. 

Enzo P. Scilingo and Gaetano Valenza are both Professors at the Department of Information Engineering & Bioengineering and Robotics Research Center "E. Piaggio", at University of Pisa School of Engineering, in Pisa, Italy.

Bibliographic information

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