Cardiac Electrophysiology Methods and Models: A Practical Handbook for Scientists, Engineers, and Clinicians

Cardiovascular disease is the major cause of mortality and morbidity around the world. While significant progress has been made in treating a major sub-category of cardiac disease and arrhythmias, significant unmet needs remain. Every day, thousands of patients die due to arrhythmias in the U.S. alone, and atrial fibrillation is the most common arrhythmia that affects millions of Americans at any given time. Therefore, there is an urgent public need to continue to develop new and better therapies for arrhythmias.
This book reviews key research methods and protocols in cardiac electrophysiology with a focus on advantages and pitfalls. It will discuss new developments as well as traditional treatments and methods. Chapters will focus on practical implementation and collaborative cross-functional research methods. The book will contain contributions from scientists and clinicians from various academic and industrial research institutions. The inclusion of industrial experts expands the scope and potential audience of this book, and provides important perspective beyond basic science. Contributors will include researchers and clinicians from academic institutions such as the University of Minnesota, Harvard, Washington University, Case Western, Indiana University, and Manchester University.
Methods and Models in Cardiac Electrophysiology will be a must-have resource for clinical academic scientists, engineers from industry (Biotech, Pharma, and Medical Device), undergraduate and graduate students, physicians, biomedical engineers, and high school and college teachers interested in studying cardiac electrophysiology and cardiac function. The book may also be of interest to students in the fields of physiology, molecular biology, cellular biology, biomedical engineering, mechanical engineering, electrical engineering, and related areas.

Paul A. Iaizzo, PhD, FHRS

Professor of Surgery, Biomedical Engineering, Biomedical Informatics and Computational Biology, Physiology

University of Minnesota

420 Delaware St SE

B172 Mayo, MMC 195

Minneapolis, MN 55455

Michael D. Eggen, PhD

Adjunct Assistant Professor of Surgery, University of Minnesota

Sr. Research Manager, Medtronic CRHF

Medtronic

8200 Coral Sea St. NE

Mounds View, MN 55112-4391

Tinen L. Iles, PhD

Assistant Professor of Surgery, Biomedical Informatics and Computational Biology

University of Minnesota

420 Delaware St SE

B172 Mayo, MMC 195

Minneapolis, MN 55455