Divided roughly into two sections, this book provides a brief history of the development of ECG along with heart rate variability (HRV) algorithms and the engineering innovations over the last decade in this area. It reviews clinical research, presents an overview of the clinical field, and the importance of heart rate variability in diagnosis. The book then discusses the use of particular ECG and HRV algorithms in the context of clinical applications.
Preface
Editors
Contributors
1. Introduction to ECG Time Series Variability Analysis: A Simple Overview
Herbert F. Jelinek, David J. Cornforth, and Ahsan H. Khandoker
2. Historical Development of HRV Analysis
Andreas Voss
3. A Descriptive Approach to Signal Processing
Dragana Baji, Goran Dimi, Tatjana Lonar-Turukalo, Branislav Milovanovi, and Nina Japund~i-}igon
4. Linear and Nonlinear Parametric Models in Heart Rate Variability Analysis
Gaetano Valenza, Luca Citi, and Riccardo Barbieri
5. Assessing Complexity and Causality in Heart Period Variability through a Model-Free Data-Driven Multivariate Approach
Alberto Porta, Luca Faes, GiandomelÃ*
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