Processing of various types of biosignals, in order to find quantifiable information related to specific characteristics that describe, or are directly or indirectly related to particular diseases or conditions. In this case, the processed data includes primarily electroencephalograms (EEG), but can also be extended to other types of biosignals, such as electrocardiograms (ECG), myographic signals, or even imaging data and time series, such as functional magnetic resonance imaging (fMRI). The required characteristics are extracted using a wide variety of techniques, depending on the application and the specific requirements, which include but are not limited to, autoregressive models, multiple regression models and methods based on fractal theory.

The brain controls all tasks involving movement, perception, memory, cognition, speech, etc. Functional Magnetic Resonance Imaging (fMRI) is a non-invasive acquisition technique for studying the human brain. FMRI indirectly studies brain activity by measuring the blood oxygen level dependent signal (BOLD). At BEL, we study the human brain with the aim of mapping the eloquent brain regions for language, comprehension, movement, vision and also pathological brain regions in brain tumor cases and epilepsy patients. The acquisition methodologies we obtain include task-based fMRI, resting-state-fMRI, concurrent EEG-fMRI, DTI, 24-hour video-EEG among others. The results are used in clinical practice for brain surgeries and in research with a series of articles in international journals towards unraveling the brain mysteries.