These are the thesis that have been supervised or done by the members of the BioRes group.

Machine learning and signal processing contributions to identify circulation states during out-of-hospital cardiac arrest

   Andoni Elola, supervised by E Aramendi and U Irusta. UPV-EHU, year 2021.

Signal processing and machine learning contributions to rhythm analysis during CPR.

   Iraia Isasi, supervised by U Irusta and E Aramendi. UPV-EHU, year 2020.

Nuevas técnicas de procesado para la predicción del éxito de la desfibrilación en la parada cardiorrespiratoria extrahospitalaria.

   Beatriz Chicote, supervised by U Irusta and E Aramendi. UPV-EHU, year 2019.

Thoracic impedance for cardiopulmonary resuscitation quality assessment and for circulation detection.

   Erik Alonso, supervised by J Ruiz and E Aramendi. UPV-EHU, year 2014.

New strategies to minimize hands-off intervals in cardiopulmonary resuscitation.

   Unai Ayala, supervised by U Irusta and J Ruiz. UPV-EHU, year 2014.

New Signal Processing Algorithms for Automated External Defibrillators.

   Unai Irusta, supervised by J Ruiz. UPV-EHU, year 2010.
 

Eliminación de la interferencia debida a la resucitación cardiopulmonar en el contexto de la desfibrilación cardíaca.

   Sofía Ruiz de Gauna, supervised by E Aramendi. UPV-EHU, year 2008.

Sistema Multicanal para la Completa Caracterización en Tiempo Real de la Calidad en el Suministro Eléctrico.

   Elisabete Aramendi, supervised by J Ruiz. UPV-EHU, year 1998.