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.
Edited by:
Herbert F. Jelinek (Charles Sturt University Albury NSW Australia Charles Sturt University Albury New South Wales Australia),
David J. Cornforth (University of Newcastle,
Callaghan,
Australia),
Ahsan H. Khandoker
Imprint: CRC Press Inc
Country of Publication: United States
Dimensions:
Height: 234mm,
Width: 156mm,
Weight: 1.224kg
ISBN: 9781482243475
ISBN 10: 1482243474
Pages: 480
Publication Date: 07 September 2017
Audience:
College/higher education
,
Professional and scholarly
,
Professional and scholarly
,
Primary
,
Undergraduate
Format: Hardback
Publisher's Status: Active
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 Bajić, Goran Dimić, Tatjana Lončar-Turukalo, Branislav Milovanović, and Nina Japundžić-Žigon 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, Giandomenico Nollo, Anielle C. M. Takahashi, and Aparecida M. Catai 6. Visualization of Short-Term Heart Period Variability with Network Tools as a Method for Quantifying Autonomic Drive Danuta Makowiec, Beata Graff, Agnieszka Kaczkowska, Grzegorz Graff, Dorota Wejer, Joanna Wdowczyk, Marta Żarczyńska-Buchowiecka, Marcin Gruchała, and Zbigniew R. Struzik 7. Analysis and Preprocessing of HRV—Kubios HRV Software Mika P. Tarvainen, Jukka A. Lipponen, and Pekka Kuoppa 8. Multiscale Complexity Measures of Heart Rate Variability—A Window on the Autonomic Nervous System Function David J. Cornforth and Herbert F. Jelinek 9. BP and HR Interactions: Assessment of Spontaneous Baroreceptor Reflex Sensitivity Tatjana Lončar-Turukalo, Nina Japundžić-Žigon, Olivera Šarenac, and Dragana Bajić 10. Tone–Entropy Analysis of Heart Rate Variability in Cardiac Autonomic Neuropathy Chandan Karmakar, Ahsan H. Khandoker, Herbert F. Jelinek, and Marimuthu Palaniswami 11. Heart Rate Variability Analysis in Exercise Physiology Kuno Hottenrott and Olaf Hoos 12. Monitoring Patients during Neurorehabilitation Following Central or Peripheral Nervous System Injury: Dynamic Difficulty Adaptation Herbert F. Jelinek, David J. Cornforth, Alexander Koenig, Robert Riener, Chandan Karmakar, Md. Hasan Imam, Ahsan H. Khandoker, Marimuthu Palaniswami, and Mario Minichiello 13. Heart Rate Variability as a Useful Parameter in Assessment of Cardiac Rehabilitation Outcome Hosen Kiat, Tom Collins, and Herbert F. Jelinek 14. Acquired Brain Injury Rehabilitation: What Can HRV Tell You? Ian J. Baguley and Melissa T. Nott 15. Heart Rate Variability in Psychiatric Disorders, Methodological Considerations, and Recommendations for Future Research A. H. Kemp and D. S. Quintana 16. Cardiac Autonomic Dysfunction in Patients with Schizophrenia and Their Healthy Relatives Karl-Jürgen Bär, Steffen Schulz, and Andreas Voss 17. Fetal Heart Rate Variability Faezeh Marzbanrad, Yoshitaka Kimura, Marimuthu Palaniswami, and Ahsan H. Khandoker 18. Heart Rate Variability and Eating Disorders Jane Russell and Ian Spence 19. Applying Heart Rate Variability in Clinical Practice Following Acute Myocardial Infarction Juha S. Perkiömäki and Heikki V. Huikuri 20. Beat-to-Beat QT Interval Variability and Autonomic Activity Mathias Baumert 21. The Predictive Utility of Heart Rate Variability in Chronic Kidney Disease: A Marker of Patient Outcomes Cara M. Hildreth, Ann K. Goodchild, Divya Sarma Kandukuri, and Jacqueline K. Phillips 22. Beat-to-Beat Variability of Cardiomyocytes Helmut Ahammer, Brigitte Pelzmann, Klaus Zorn-Pauly, Robert Arnold, and Michael Mayrhofer-Reinhartshuber 23. Associations between Genetic Polymorphisms and Heart Rate Variability Anne Voigt, Jasha W. Trompf, Mikhail Tamayo, Ethan Ng, Yuling Zhou, Yaxin Lu, Slade Matthews, Brett D. Hambly, and Herbert F. Jelinek Index
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.
Reviews for ECG Time Series Variability Analysis: Engineering and Medicine
This book presents a comprehensive view of ECG time series variability analysis, covering many relevant aspects from descriptive approaches and modelling to advanced signal processing methods. The different clinical applications of the techniques are covered in detail, with examples including, but not limited to, foetal heart rate variability, heart rate variability in psychiatric disorders, schizophrenia, or chronic kidney disease. Therefore, it is likely to become a well-received book by those who already have an interest in the topic, those who might be interested in the possible usefulness of heart rate variability analysis in different conditions, and those wanting to get started in ECG time series variability analysis. -Daniel Abasolo, University of Surrey, United Kingdom
