CACICC Research Group

Wavelet q-Fisher information Measure for signal analysis

Wavelet q-Fisher information was recently shown to be a suitable tool for scaling signal analysis in the article http://www.mdpi.com/1099-4300/14/8/1478. Wavelet q-Fisher information enhances the so-called wavelet Fisher information measure and generalizes it by incorporating a parameter q. Parameter q not only can adjust and refine the analysis, but also helps in associating to wavelet q-Fisher information potential applications for the analysis of scaling signals. Wavelet q-Fisher information can analyze EEG signals in order to better understand the characteristics and behaviour of the human brain. This technique can also be used to analyze ECG signals and in this context propose potential applications to treat in a suitable way heart-related diseases. There is much to do in both situations, but we believe that by the application of these tools significant improvements can be gained. CACICC Research group expects to apply and study these phenomena in the near future in conjuntion with brain graphs. For more information on the theoretical findings and expressions associated to wavelet q-Fisher information please refer to the journal article by CACICC members in Entropy http://www.mdpi.com/1099-4300/14/8/1478. For more information and potential colaborations please contact CACICC research group members Julio Ramirez-Pacheco, Luis Rizo-Dominguez, Joel Trejo-Sánchez and Francisco Manzano-Pinzón.