{"id":6174,"date":"2017-06-06T18:02:36","date_gmt":"2017-06-06T16:02:36","guid":{"rendered":"http:\/\/cienciagandia.webs.upv.es\/en\/?p=6174"},"modified":"2017-06-06T18:01:32","modified_gmt":"2017-06-06T16:01:32","slug":"new-software-improves-the-characterization-of-cardiac-arrhythmias","status":"publish","type":"post","link":"https:\/\/cienciagandia.webs.upv.es\/en\/2017\/06\/new-software-improves-the-characterization-of-cardiac-arrhythmias\/","title":{"rendered":"New Software Improves the Characterization of Cardiac Arrhythmias"},"content":{"rendered":"

A team of researchers that includes members of the Campus<\/a> Gandia<\/a><\/strong> of the Universitat Polit\u00e8cnica de Valencia<\/strong> and the University of Castilla La Mancha<\/strong> <\/a>has developed a new software that improves the characterization of cardiac arrhythmias. The incorporation of this software into current clinical electrophysiology equipment will provide a clearer, more defined and undistorted signal<\/strong> in all types of arrhythmias, but fundamentally atrial fibrillation, the most common type of all<\/p>\n

The implementation of this improved software could offer previously unknown information to cardiologists, resulting in improvements inclinical practice<\/strong> and, ultimately, in the treatment of arrhythmia.\u00a0The study has been published in the Annals of Biomedical Engineering<\/strong> journal.<\/a><\/p>\n

\"software<\/p>\n

“Obtaining more realistic and reliable signals allows other method utilized for the assessment of the patient’s arrhythmic state using these signals as a basis, to refine and consequently obtain completely personalized information on the state of the arrhythmia and the possible therapeutic strategies that can be adopted,” says Jos\u00e9 Joaqu\u00edn Rieta<\/strong><\/a>, research scientist at the Campus Gandia<\/strong>, participating in the development and coordinator of the Biosignals & Minimally Invasive Technologies<\/strong> group.<\/p>\n

The researchers have conducted a study demonstrating how the current cardiac electrophysiology systems are processing signals in ways that can substantially alter the morphology of the records obtained.<\/p>\n

The problem is that the filtering techniques they use may be inadequate, so if such records are subsequently used as a basis for the electrophysiological characterization of the patient, this can produce significant errors<\/strong> in the estimation of essential parameters on their arrhythmic state,” explains Rieta.<\/p>\n

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The software developed by the researchers of the UPV and UCLM avoid those errors. In fact, it reduces the distortion introduced by conventional electrophysiological acquisition systems by up to 40%<\/strong>.<\/p>\n

“The method we have developed will enable more accurate analysis of the arrhythmia, which will result in a better characterization of its complex dynamics and, ultimately, better subsequent treatment. This is a further step towards the evaluation and personalized care<\/strong> of each patient’s arrhythmia condition, “concludes Jos\u00e9 Joaqu\u00edn Rieta.<\/p>\n

ABOUT ATRIAL FIBRILLATION<\/p>\n

Currently, it is estimated that about 6 million Europeans and 700,000 Spaniards suffer from Atrial Fibrillation and it is estimated that its prevalence will double in the next 50 years due to the aging of the population.\u00a0 The current risk of atrial fibrillation for a person over the age of 40 throughout their lives is 25%.<\/strong><\/p>\n