The signal processing and biomedical applications laboratory of the UGR (DASCI- SIPBA) and collaborators at the University of Malaga and Cambridge, has several infrastructures among which we highlight the GPU-based computing systems and devices for the acquisition of bioelectrical, biometric and cortical activation signals. The technological assets of this equipment lie in the state-of-the-art implementation of the most advanced feature extraction methods for the processing of biomedical signals in general, and magnetic resonance and tomography images in particular. The complete equipment (hardware+software) make up innovative diagnostic support systems using machine learning, such as those based on deep learning or statistical agnostic models in neuroscience.
