Biomedical Engineering Laboratory

Develops research in the processing of physiological signals, such as that of the Sleep Research Group which has a long relationship with the Sleep Laboratory of the Institute of Nutrition and Food Technology (INFT/INTA), University of Chile. The polysomnograms that have been carried out for years on a cohort of children from 6 months of age in the INFT/INTA serve as the basis for performing the detection and characterization of states and stages of sleep, sleep patterns and other parameters, and automating and standardizing the description and extraction of characteristics of the records, wittin this laboratory.

Significant results have been obtained by applying signal analysis, computational intelligence, and expert emulation tools. The systems and algorithms developed are integrated into a software tool, the Sleep Analyzer, which is currently one of the fundamental tools applied by the Sleep Lab in its research.

A more recent line of research is the detection and characterization of individual evoked potentials that are bioelectric responses to stimuli in wakeful patients.

In other lines of research 3D models of organs have been developed will ultrasound, SPECT, and computed tomography images using deformable meshes.

The influence of noise on sensory perceptions (vision and touch) is also investigated. In particular, through a phenomenon called stochastic resonance, it can be explanied how adding random noise to sub-threshold stimuli improves the perception of these stimuli.