作者: David E. Krummen , Gainyu Oshodi , Sanjiv M. Narayan
DOI: 10.1007/978-1-4419-6691-9_1
关键词: Cardiac electrophysiology 、 Computer science 、 Heart rate variability 、 Intracardiac injection 、 Cardiac resynchronization therapy 、 Positron emission tomography 、 Ventricular fibrillation 、 Radiology 、 Magnetic resonance imaging 、 Atrial fibrillation 、 Management science
摘要: The use of numerical methods in clinical medicine has grown exponentially over the past decade. This is particularly true cardiac electrophysiology (EP), which focused on diagnosis, prevention and treatment heart rhythm abnormalities. Part reason for this suitability pathology to modeling. At tissue level, mechanisms electrical propagation within are relatively deterministic both health during arrhythmias [31]. As a result, many applications, there remarkable correlation between prediction measurement [30]. Another availability detailed anatomical physiologic imaging data cardiology, including: echocardiography (transthoracic, transesophageal, intracardiac), computed tomography (CT), magnetic resonance (MRI), nuclear medicine, positron emission tomography.