ECG Time Series Variability Analysis 2018 (2018) (PDF) by Herbert F. Jelinek

8

 

Ebook Info

  • Published: 2018
  • Number of pages: 496
  • Format: PDF
  • File Size: 46.21 MB
  • Authors: Herbert F. Jelinek

Description

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

User’s Reviews

Keywords

Free Download ECG Time Series Variability Analysis 2018 in PDF format
ECG Time Series Variability Analysis 2018 PDF Free Download
Download ECG Time Series Variability Analysis 2018 2018 PDF Free
ECG Time Series Variability Analysis 2018 2018 PDF Free Download
Download ECG Time Series Variability Analysis 2018 PDF
Free Download Ebook ECG Time Series Variability Analysis 2018