Application of machine learning techniques to analyse the effects of physical exercise in ventricular fibrillation

Computers in Biology and Medicine
Juan CaravacaJuan F Guerrero


This work presents the application of machine learning techniques to analyse the influence of physical exercise in the physiological properties of the heart, during ventricular fibrillation. To this end, different kinds of classifiers (linear and neural models) are used to classify between trained and sedentary rabbit hearts. The use of those classifiers in combination with a wrapper feature selection algorithm allows to extract knowledge about the most relevant features in the problem. The obtained results show that neural models outperform linear classifiers (better performance indices and a better dimensionality reduction). The most relevant features to describe the benefits of physical exercise are those related to myocardial heterogeneity, mean activation rate and activation complexity.


Jan 1, 1983·Annual Review of Physiology·C G Blomqvist, B Saltin
Aug 6, 1998·IEEE Transactions on Bio-medical Engineering·E Soria-OlivasJ Espí-López
Jan 18, 2002·Journal of Applied Physiology·George E Billman
Aug 24, 2002·Circulation Research·Bum-Rak ChoiGuy Salama
Jan 29, 2003·IEEE Transactions on Bio-medical Engineering·Luca FaesFlavia Ravelli
Jul 18, 2006·Journal of Pharmacological and Toxicological Methods·Monika Skrzypiec-SpringRichard Schulz
Jul 22, 2006·IEEE Transactions on Neural Networks·Guang-Bin HuangChee-Kheong Siew
Aug 28, 2007·Bioinformatics·Yvan SaeysPedro Larrañaga

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Jun 19, 2018·Medical & Biological Engineering & Computing·Rabah M Al AbdiAreen K Al-Bashir

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