Latest

• Teoría de la complejidad en sistemas biológicos
• Using complexity-entropy planes to detect Parkinson's disease from short segments of haemodynamic signals
• Analysis of cerebral blood flow complexity when listening music with emotional content
• Analysis of cerebral blood flow entropy when listening music with emotional content
• Assessment of dynamic cerebral autoregulation in humans: Is reproducibility dependent on blood pressure variability?
• Using machine learning methods to identify significant variables for the prediction of first-year Informatics Engineering students dropout
• Cerebral Hemodynamics Modeling
• Fondecyt 1181659: Models of cerebral hemodynamics to detect Parkinson's Disease and Multiple System Atrophy
• Dynamic cerebral autoregulation reproducibility is affected by physiological variability
• Comparing models of spontaneous variations, maneuvers and indexes to assess dynamic cerebral autoregulation
• Increasing the contrast-to-noise ratio of MRI signals for regional assessment of dynamic cerebral autoregulation
• Non-linear models for the detection of impaired cerebral blood flow autoregulation
• Reproducibility of dynamic cerebral autoregulation parameters: A multi-centre, multi-method study
• Dynamic cerebral autoregulation following acute ischaemic stroke: Comparison of transcranial Doppler and magnetic resonance imaging techniques
• Analysis of the influence of systemic and intracranial pressure in patients with severe head injury using linear and non-linear models
• Regional Differences in Dynamic Cerebral Autoregulation in the Healthy Brain Assessed by Magnetic Resonance Imaging
• Empirical evaluation of three machine learning method for automatic classification of neoplastic diagnoses [Evaluación empírica de tres métodos de aprendizaje automático para clasificar automáticamente diagnósticos de neoplasias]
• Crisp classifiers vs. fuzzy classifiers: A statistical study