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.)

Patient-Specific Modeling of the Cardiovascular procedure demonstrates the layout of quite a few patient-specific versions in the cardiovascular approach and the way they can be utilized on a bigger scale within the health center. Patient-specific modeling will result in a paradigm shift inside of medication if utilized effectively, but many questions have to be spoke back sooner than computational modeling will be absolutely built-in with average care. that allows you to resolution the main crucial questions, a variety of the world’s major computational modelers and clinicians were introduced jointly during this e-book. Healthcare pros and scientific scholars attracted to the medical software of patient-specific cardiovascular modeling will locate Patient-Specific Modeling of the Cardiovascular process a important resource.

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

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This provides several advantages for patients and physicians: decreased fluoroscopy exposure for both the patient and physician, and highly repeatable catheter placement [66]. These systems are potentially important from a modeling perspective as well, since they could be used to systematically acquire data for anatomical and functional model creation [59]. Once arrhythmogenic sites have been identified, the ablation catheter may be directed to the specified site. Limitations and Future Directions.

Saoudi N, Cosio F, Waldo A, Chen SA, Iesaka Y, Lesh M, Saksena S, Salerno J, and Schoels W. Classification of atrial flutter and regular atrial tachycardia according to electrophysiologic mechanism and anatomic bases: a statement from a joint expert group from the Working Group of Arrhythmias of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology. J Cardiovasc Electrophysiol 12: 852–866, 2001. 69. Sarrazin JF, Labounty T, Kuhne M, Crawford T, Armstrong WF, Desjardins B, Good E, Jongnarangsin K, Chugh A, Oral H, Pelosi F, Morady F, and Bogun F.

Positive criteria for parameter selection are physiological relevance, large sensitivity, and large uncertainty about the value due to lack of information. Thus, a simulation is obtained that may serve as the starting point for patient-specific simulation. For patient-specific simulation, the same strategy may be used as for obtaining the basic simulation of the normal state. In contrast with average physiological behavior, for a specific patient, there is not as much quantitative information available.

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