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When it comes to matters of the heart, technology can be extremely useful. However this evening will not be covering a flame-based dating app. We will present the latest on how we can use medical imaging to not only look at the heart, but how we can use technology to interpret what the images show us and get a new insight into what's making us tick.
Hasta la vista, baby! Terminating Cardiac Arrhythmias with the Help of Computer Simulations
Fernando Campos (Research Associate)
Arrhythmias (heart rhythm problems) resulting from severe heart conditions kill 100,000 people in the UK every year. Although catheter ablation (a semi-invasive procedure to stop abnormal electrical pathways in the heart) remains the only potential curative treatment for arrhythmias, it has achieved only modest efficacy owing to the limitations of current clinical mapping techniques. In this talk I will describe how we use computer simulations to optimize mapping techniques, improving the outcome of the procedure and, consequently, the patient's life quality.
Hypertension: beyond the numbers
The diagnosis of hypertension comes down to two numbers: diastolic and systolic blood pressure, the respective minimum and maximum of the blood pressure wave. Yet, the whole pressure wave holds much more information that can help not only to understand the underlying causes of hypertension, but also offer new treatment targets. In this talk, we’ll explore the different theories behind the origin of high blood pressure (arterial VS cardiac theories) and highlight how new methodologies can inform this debate and offer a more comprehensive approach to the diagnosis of hypertension.
How to avoid being kicked in the chest by a horse: computational optimisation of cardiac defibrillation
Martin Bishop (Reader in Computational Cardiac Electrophysiology)
Defibrillation involves the application of a strong electrical shock across the heart to terminate lethal cardiac arrhythmias. Despite being one of the most revolutionary life-saving advances of the 20th century, it is far from an optimal therapy. I will describe how we develop and use detailed computational cardiac models to understand how electric fields interact with cardiac tissue and how such modelling can be used to help optimise the design of automated defibrillators, saving lives and increasing the quality of life of device recipients.