Download e-book for kindle: Patient-Specific Modeling of the Cardiovascular System: by David E. Krummen, Gainyu Oshodi (auth.), Roy C.P. Kerckhoffs

By David E. Krummen, Gainyu Oshodi (auth.), Roy C.P. Kerckhoffs (eds.)

ISBN-10: 1441966900

ISBN-13: 9781441966902

ISBN-10: 1441966919

ISBN-13: 9781441966919

Patient-Specific Modeling of the Cardiovascular approach demonstrates the layout of quite a few patient-specific types in the cardiovascular approach and the way they can be utilized on a bigger scale within the sanatorium. Patient-specific modeling will result in a paradigm shift inside drugs if utilized effectively, but many questions have to be replied ahead of computational modeling will be totally built-in with normal care. for you to solution the main crucial questions, a range of the world’s best computational modelers and clinicians were introduced jointly during this e-book. Healthcare execs and scientific scholars attracted to the scientific software of patient-specific cardiovascular modeling will locate Patient-Specific Modeling of the Cardiovascular process a necessary resource.

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Extra resources for Patient-Specific Modeling of the Cardiovascular System: Technology-Driven Personalized Medicine

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Electrical activation of the atrial myocyte has been modeled by Luo and Rudy [30, 39], attributing a large role to currents through channels in membranes.  3).  2 and 9). Shortly after depolarization of the myocyte, a pulse of intracellular calcium causes temporary cross-bridges between actin and myosin, resulting in the systolic pulse of mechanical stress and strain [38]. Within a cardiac wall, myocytes are arranged in fibers, forming a distinct helical structure [42]. Stress and strain delivered by the myocytes are transferred to the myofiber structure, forming the myocardial tissue.

Signal-averaged ECG techniques measure electrical potentials after the QRS (late-potentials). Savard et al. [70] found that SAECG help risk-stratify patients after myocardial infarction. Recent work supports the use of SAECG in the risk stratification of patients with Brugada syndrome [28]. Interesting work summarized by Ghanem et al. [20] has shown the utility of electrocardiographic imaging in potentially identifying pro-arrhythmic substrate, guiding therapy, and evaluating risk for sudden death.

An entrainment map evaluates both the proximity to the circuit and the conduction properties of local tissue. The optimal site for ablation is a site both within the circuit and an area with relatively slow conduction velocity [6]. Ablation at this area is likely to cure the arrhythmia. Focal atrial tachycardia is an arrhythmia caused by abnormal automaticity – a cluster of cells that have acquired the ability to depolarize spontaneously and rapidly, overdriving the normal pacemaker cells of the heart [68].

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Patient-Specific Modeling of the Cardiovascular System: Technology-Driven Personalized Medicine by David E. Krummen, Gainyu Oshodi (auth.), Roy C.P. Kerckhoffs (eds.)


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