Bio signal processing - TSC-UNIOVI research group

Digital Signal Processing is one of the most important pillars for a systematized study of information involved in medical or biological problems. Much of the information handled in these areas responds to the definition of signal as it is proposed in DSP. Thus, many of the recent advances in automatic diagnosis or in support of diagnosis are based on the digital processing of electroencephalograms, electrocardiograms, imaging obtained by different techniques (resonance, tomography, direct recording ...), etc. Techniques such as frequency analysis, filtering, source separation, principal component analysis, independent component analysis, pattern classification, automatic learning, etc., form the basis for new equipment, technologies, techniques, etc. Similarly, the processing of information from biological studies opens the door to fields such as analysis of cell morphology, characterizations of different types, etc.

 

In addition to the direct application of DSP techniques to the signals used for diagnosis, signal processing algorithms have also been successfully employed for patient assistance. Thus, systems of electromagnetic field focusing on specific areas of the space are proposed for the treatment of certain types of tumors by means of medical hyperthermia, with systems designed taking advantage of the spatial diversity that results from the use of arrays of sensors controlled by means of processing. Or epileptic seizures are identified before they occur by controlling signals from electroencephalogram sensors, allowing the patient to take preventive measures in the face of the attack.

 

Some of these aspects have already been explicitly addressed in different teaching and research projects listed below. In addition to this, numerous academic and research projects (projects and publications) develop the technical bases that allow these applications to be successfully addressed.