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

, , , , , , and . Comput. Biol. Medicine, (2014)

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Application of machine learning techniques to analyse the effects of physical exercise in ventricular fibrillation., , , , , , and . Comput. Biol. Medicine, (2014)Fast spiking neural network architecture for low-cost FPGA devices., , , and . ReCoSoC, page 1-6. IEEE, (2012)Hardware-efficient matrix inversion algorithm for complex adaptive systems., , , and . ICECS, page 41-44. IEEE, (2012)Implementation of a new adaptive algorithm using fuzzy cost function and robust to impulsive noise., , , and . ICECS, page 45-48. IEEE, (2012)Effects of Physical Exercise and Glibenclamide in Local Activation Waves During Ventricular Fibrillation., , , , , , and . CinC, page 1083-1086. www.cinc.org, (2013)Temporal Evolution of Spatial Regularity in Ventricular Fibrillation Modified by Physical Exercise., , , , , , and . CinC, page 1087-1090. www.cinc.org, (2013)FPGA Implementation of Spiking Neural Network., , and . CESCIT, page 139-144. International Federation of Automatic Control, (2012)Versatile Direct and Transpose Matrix Multiplication with Chained Operations: An Optimized Architecture Using Circulant Matrices., , , , and . IEEE Trans. Computers, 65 (11): 3470-3479 (2016)Aprendizaje por Proyectos: Una Aproximación Docente al Diseño Digital Basado en VHDL., , and . Rev. Iberoam. de Tecnol. del Aprendiz., 3 (2): 87-95 (2008)Ventricular Fibrillation and Tachycardia detection from surface ECG using time-frequency representation images as input dataset for machine learning., , , , and . Comput. Methods Programs Biomed., (2017)