Computational model based approach to analysis ventricular arrhythmias: Effects of dysfunction calcium channels

2018 ◽  
Author(s):  
Gulothungan G. ◽  
Malathi R.
Keyword(s):  
Calcium Channels ◽  
Computational Model ◽  
Ventricular Arrhythmias ◽  
Model Based

scholarly journals A computational model-based approach for atlas construction of aortic Doppler velocity profiles for segmentation purposes

2018 ◽  
Vol 40 ◽  
pp. 23-32 ◽  
Author(s):  
Vedrana Baličević ◽  
Hrvoje Kalinić ◽  
Sven Lončarić ◽  
Maja Čikeš ◽  
Bart Bijnens
Keyword(s):  
Computational Model ◽  
Velocity Profiles ◽  
Doppler Velocity ◽  
Model Based ◽  
Atlas Construction

scholarly journals 87Non-invasive virtual prediction of site of origin in outflow tract ventricular arrhythmias with a patient-specific computational model

2017 ◽  
Vol 38 (suppl_1) ◽  
Author(s):  
R. Doste ◽  
D. Soto-Iglesias ◽  
G. Bernardino ◽  
R. Sebastian ◽  
M. Sermesant ◽  
...  
Keyword(s):  
Computational Model ◽  
Ventricular Arrhythmias ◽  
Outflow Tract ◽  
Patient Specific

Multi—Agent parallel computational model based on DDM

1996 ◽  
Vol 1 (3-4) ◽  
pp. 391-396
Author(s):  
Mingyuan Jin ◽  
Lishan Kang ◽  
Dechun Peng
Keyword(s):  
Computational Model ◽  
Model Based ◽  
Multi Agent

scholarly journals Improving Physical Activity mHealth Interventions: Development of a Computational Model of Self-Efficacy Theory to Define Adaptive Goals for Exercise Promotion

2019 ◽  
Vol 2019 ◽  
pp. 1-11 ◽  
Author(s):  
Dario Baretta ◽  
Fabio Sartori ◽  
Andrea Greco ◽  
Marco D’Addario ◽  
Riccardo Melen ◽  
...  
Keyword(s):  
Physical Activity ◽  
Computational Model ◽  
Behaviour Change ◽  
Self Efficacy ◽  
Protective Factor ◽  
Cognitive Theory ◽  
Physical Activity Promotion ◽  
Physical Activity Guidelines ◽  
Model Based ◽  
Activity Promotion

The practice of regular physical exercise is a protective factor against noncommunicable diseases and premature mortality. In spite of that, large part of the population does not meet physical activity guidelines and many individuals live a sedentary life. Recent technological progresses and the widespread adoption of mobile technology, such as smartphone and wearables, have opened the way to the development of digital behaviour change interventions targeting physical activity promotion. Such interventions would greatly benefit from the inclusion of computational models framed on behaviour change theories and model-based reasoning. However, research on these topics is still at its infancy. The current paper presents a smartphone application and wearable device system called Muoviti! that targets physical activity promotion among adults not meeting the recommended physical activity guidelines. Specifically, we propose a computational model of behaviour change, grounded on the social cognitive theory of self-efficacy. The purpose of the computational model is to dynamically integrate information referring to individuals’ self-efficacy beliefs and physical activity behaviour in order to define exercising goals that adapt to individuals’ changes over time. The paper presents (i) the theoretical constructs that informed the development of the computational model, (ii) an overview of Muoviti! describing the system dynamics, the graphical user interface, the adopted measures and the intervention design, and (iii) the computational model based on Dynamic Decision Network. We conclude by presenting early results from an experimental study.

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