Andere Kunden interessierten sich auch für
![Characterizing Cardiac Electrophysiology during Radiofrequency Ablation : An Integrative Ex vivo, In silico, and In vivo Approach]( "Characterizing Cardiac Electrophysiology during Radiofrequency Ablation : An Integrative Ex vivo, In silico, and In vivo Approach")
Characterizing Cardiac Electrophysiology during Radiofrequency Ablation : An Integrative Ex vivo, In silico, and In vivo Approach51,00 €![ECG Analysis and Cardiac Arrhythmia Prediction Using FDST and ANNs]( "ECG Analysis and Cardiac Arrhythmia Prediction Using FDST and ANNs")
ECG Analysis and Cardiac Arrhythmia Prediction Using FDST and ANNs26,99 €![Design FLC for Dual Sensors Cardiac Pacemaker in Bradycardia at Rest]( "Design FLC for Dual Sensors Cardiac Pacemaker in Bradycardia at Rest")
Design FLC for Dual Sensors Cardiac Pacemaker in Bradycardia at Rest32,99 €![Ultra-Low-Power CMOS Sigma-Delta Modulator for Cardiac Pacemakers]( "Ultra-Low-Power CMOS Sigma-Delta Modulator for Cardiac Pacemakers")
Ultra-Low-Power CMOS Sigma-Delta Modulator for Cardiac Pacemakers36,99 €![A Novel Framework for Optimal Design of Multimodal Winding Machines]( "A Novel Framework for Optimal Design of Multimodal Winding Machines")
A Novel Framework for Optimal Design of Multimodal Winding Machines29,99 €![Simulation of the Electrical Activity of Cardiac Tissue]( "Simulation of the Electrical Activity of Cardiac Tissue")
Simulation of the Electrical Activity of Cardiac Tissue32,99 €![DESIGNING OF QoS FRAMEWORK MITIGATING OLSR IN MANET]( "DESIGNING OF QoS FRAMEWORK MITIGATING OLSR IN MANET")
DESIGNING OF QoS FRAMEWORK MITIGATING OLSR IN MANET44,99 €
A novel electrophysiological cardiac model is introduced in this book. The proposed framework for cardiac modeling considers six key regions that characterize the cardiac electrical activity. This allows the model to solve the forward and inverse electrocardiology problems in near real time. The major drawback of the current cardiac modeling methods is the computational complexity because they model more than 100,000 cells of the heart. This complexity does not allow the current techniques to be used in near real time diagnostics. In contrast to the previous models, the proposed cardiac model is used as a basis for two near real time clinical diagnostic applications. The first is the detection of an ischemic heart. The second is the localization of myocardial infarction. A brief overview of the cardiac activity is presented. Additionally, a historical review of the related fields is discussed. The proposed electrophysiological cardiac modeling method, including the cardiac model,forward and inverse problems solutions, and the diagnostic applications are described in detail.