Advanced Methods and Tools for ECG Data Analysis

Offers you an understanding of techniques for electrocardiogram (ECG) data analysis. Placing emphasis on the selection, modeling, classification, and interpretation of data based on advanced signal processing and artificial intelligence techniques, this book helps you design, implement, and evaluate software systems used for the analysis of ECG.

Gari D. Clifford is a Research Scientist in the Harvard-MIT Division of Health Sciences where he is the engineering manager of a R01 NIH-funded research program, and a major contributor to the well-known Physionet Research Resource. He has taught at Oxford, MIT and Harvard and is currently an Instructor in Biomedical Engineering at MIT. Dr. Clifford, a senior member of the IEEE, has worked in industry on the design and production of several C- and FDA-approved medical devices, authored and coauthored over 40 publications in the field of biomedical engineering, and is on the editorial boards of Biomedical Engineering Online and the Journal of Biological Systems. Dr Clifford holds a PhD in Neural Networks and Biomedical Engineering from Oxford University and a Masters in Theoretical Physics from Southampton University.

Francisco Azuaje is a reader at the University of Ulster and was formerly a lecturer at Trinity College Dublin, Ireland. A Senior Member of the IEEE, he has several editorial board memberships in journals relevant to biomedical informatics and bioinformatics. Dr. Azuaje has co-edited other two books relevant to the areas of bioinformatics and systems biology. He received his B.Sc. in electronic engineering from Simon Bolivar University, Venezuela and his Ph.D. in artificial intelligence and medical informatics from the University of Ulster, U.K.

Patrick E. McSharry is a Royal Academy of Engineering/EPSRC research fellow at the University of Oxford, a research associate at St Catherine's College, Oxford and a Senior Member of the IEEE. He received a B.A. in theoretical physics and an M.Sc. in electronic and electrical engineering from Trinity College, Dublin, and received a Ph.D. in mathematics, on time series analysis and forecasting, from the University of Oxford. He is currently supported by a Marie Curie Research Fellowship and leads the Systems Analysis, Modeling and Prediction (SAMP) Group at the University of Oxford.