Jelinek / Cornforth / Khandoker ECG Time Series Variability Analysis

Engineering and Medicine
1. Auflage 2017
ISBN: 978-1-4822-4348-2
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 496 Seiten

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 application.

Autoren/Hrsg.

Jelinek, Herbert

Cornforth, David

Khandoker, Ahsan H.

Fachgebiete

• Technische Wissenschaften Energietechnik | Elektrotechnik Elektrotechnik
• Mathematik | Informatik Mathematik Algebra Zahlentheorie
• Technische Wissenschaften Verfahrenstechnik | Chemieingenieurwesen | Biotechnologie Biotechnologie Medizinische Biotechnologie

Inhaltsverzeichnis

Introduction. Historical Development of ECG and HRV Analysis. Models for Linear Analysis. Model Free Nonlinear Analysis. Analysis Methods and Pre-Processing of ECG and HRV Time Series – Kubios HRV Software. What Can Complexity Measures Tell You about Autonomic Nervous System Function. Exploring Novel Methods in ECG and HRV Analysis and Aging. Asymmetry of Heart Rate Variability in Cardiac Autonomic Neuropathy. ECG and Heart Rate Variability (HRV) Analysis in Exercise Physiology. ECG and HRV and Neurorehabilitation.

Über Autor(innen)

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.