ECG Time Series Variability Analysis

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.

Associate Professor Herbert Jelinek received the B.Sc. (Hons.) degree in human genetics from the University of New South Wales, Sydney, Australia, followed by a Graduate Diploma in neuroscience from the Australian National University, Canberra, Australia, and his PhD. degree in medicine from the University of Sydney, Australia. He is a honorary Clinical Associate Professor with the Australian School of Advanced Medicine, Macquarie University, Sydney, Australia, and a member of the Centre for Research in Complex Systems, Charles Sturt University, Albury, Australia. Dr Jelinek has been organizing a rural diabetes complications screening research project for over ten years in Australia and has published widely in ECG signal processing and diabetic retinopathy image analysis as well as data mining applications of biomarkers associated with diabetes disease progression. His current research interests include neurogenetics of diabetes and cognitive function. He is a member of the IEEE Biomedical Engineering Society and the Australian Diabetes Association.

PrefaceEditorsContributors1. Introduction to ECG Time Series Variability Analysis: A Simple OverviewHerbert F. Jelinek, David J. Cornforth, and Ahsan H. Khandoker2. Historical Development of HRV AnalysisAndreas Voss3. A Descriptive Approach to Signal ProcessingDragana Baji?, Goran Dimi?, Tatjana Lon?ar-Turukalo, Branislav Milovanovi?, and Nina Japundzi?-Zigon4. Linear and Nonlinear Parametric Models in Heart Rate Variability AnalysisGaetano Valenza, Luca Citi, and Riccardo Barbieri5. Assessing Complexity and Causality in Heart Period Variability through a Model-Free Data-Driven Multivariate ApproachAlberto Porta, Luca Faes, Giandomenico Nollo, Anielle C. M. Takahashi, and Aparecida M. Catai6. Visualization of Short-Term Heart Period Variability with Network Tools as a Method for Quantifying Autonomic DriveDanuta Makowiec, Beata Graff, Agnieszka Kaczkowska, Grzegorz Graff, Dorota Wejer, Joanna Wdowczyk, Marta ?arczy?ska-Buchowiecka, Marcin Grucha?a, and Zbigniew R. Struzik7. Analysis and Preprocessing of HRV-Kubios HRV SoftwareMika P. Tarvainen, Jukka A. Lipponen, and Pekka Kuoppa8. Multiscale Complexity Measures of Heart Rate Variability-A Window on the Autonomic Nervous System FunctionDavid J. Cornforth and Herbert F. Jelinek9. BP and HR Interactions: Assessment of Spontaneous Baroreceptor Reflex SensitivityTatjana Lon?ar-Turukalo, Nina Japundzi?-Zigon, Olivera sarenac, and Dragana Baji?10. Tone-Entropy Analysis of Heart Rate Variability in Cardiac Autonomic NeuropathyChandan Karmakar, Ahsan H. Khandoker, Herbert F. Jelinek, and Marimuthu Palanis