ECG Time Series Variability Analysis : Engineering and Medicine

Herbert F Jelinek

ISBN 10: 1482243474 / ISBN 13: 9781482243475

Published by CRC Press Sep 2017, 2017

About this Item

Neuware - 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.

Seller Inventory # 9781482243475

Bibliographic Details

• Title: ECG Time Series Variability Analysis : Engineering and Medicine
• Publisher: CRC Press Sep 2017
• Publication Date: 2017
• Language: English
• ISBN 10: 1482243474
• ISBN 13: 9781482243475
• Binding: Buch
• Condition: Neu
• Dimensions: 257W x 183H x 33D millimeters 257 millimeters width by 183 millimeters height by 33 millimeters depth
• Weight: 1247 grams

About this title

Synopsis

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.

About the Author

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.