The processing of biomedical signals is used to extract the relevant information from a biomedical organ or system and, with this, help diagnose situations or states. The research staff of the CI2B has a wide knowledge in many techniques both linear in the temporal domain, spectral, time-frequency and non-linear; all this for both signal characterization and for the elimination of undesired components.
The scope of application is very broad, encompassing signals of cardiac, uterine, intestinal, cerebral, respiratory muscle, balance, etc. In addition, there is a great experience in the development of systems to help diagnose and make decisions based on automatic learning techniques such as neural networks, vector support machines, etc.

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