ECG Time Series Variability Analysis (eBook, ePUB)

Engineering and Medicine
Redaktion: Jelinek, Herbert F.; Khandoker, Ahsan H.; Cornforth, David J.

• Format: ePub

Produktbeschreibung

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.

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 496
• Erscheinungstermin: 11. September 2017
• Englisch
• ISBN-13: 9781315355610
• Artikelnr.: 49268917

Autorenporträt

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.

Inhaltsangabe

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 Lon
ar-Turukalo, Branislav Milovanovi
, and Nina Japundi
-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, 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
arczy
ska-Buchowiecka, Marcin Gruchäa, 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 Lon
ar-Turukalo, Nina Japundi
-igon, Olivera arenac, and Dragana Baji
10. Tone-Entropy Analysis of Heart Rate Variability in Cardiac Autonomic Neuropathy Chandan Karmakar, Ahsan H. Khandoker, Herbert F. Jelinek, and Marimuthu Palanis