[en] The project developed at the Bilbao Engineering School in collaboration with Emergencias-Osakidetza is based on the analysis of biomedical signals in the field of cardiorespiratory arrest. Cardiorespiratory arrest is defined as the sudden arrest of the mechanical activity of the heart. There are two points to patient survival: early cardiopulmonary resuscitation, and early defibrillation. Once the health personnel arrive, they apply advanced life support techniques. In this project, the records obtained belong to four different bases of advanced life support of Emergencias-Osakidetza. The objective of the project is the analysis and characterization of records of extra-hospital cardiorespiratory arrest received. Therefore, the base of records is obtained for further treatment. The visualization tool is developed to analyse biomedical signals and clinical data. In addition, characterization of the database is performed for parameters of interest such as sex, age or the complexion of the patient. And finally, cardiorespiratory arrest episodes for quality RCP are characterized. Through the MATLAB programming environment, a tool has been developed to visualize the signals recorded by the monitor-defibrillator, as well as the additional information of the patient. In addition, a viewer has been developed to visualize cardiorespiratory arrest signals in windows of programmable duration. The parameters of interest of the clinical data of the patients have been characterized. And finally, quality metrics have been obtained from two different points of view. The first is based on the quality reports of cardiopulmonary resuscitation obtained by the CODE-STAT program and the second is the results obtained through the program developed in MATLAB for the calculation of quality parameters for own use. In conclusion, the collaboration of the Signal and Communications Group with Emergencies-Osakidetza would be maintained at a future because the research it is necessary to obtain the data and its subsequent characterization. All this, contributes to improve care in the face of cardiorespiratory arrest, an area in which studies must continue to be developed.

[eu] Bilboko Ingeniaria Eskolan garatutako proiektua seinale biomedikoen analisian oinarrituta dago. Horretarako, Emergencias-Osakidetzaren kolaborazioa funtsezkoa izan da. Arnasketaren geldipena bihotzaren aktibitate mekanikoa bat-batean gelditzen denean sortzen da. Pazientea bizitzeko funtsezkoak dira bi aktibitate egitea: arnasketaren geldipena eta desfibrilazio arina. Ekipo sanitarioa lekura ailegatzen denean teknika aurreratuak egiten hasiko da. Proiektu honetan, Emergencias-Osakidetzaren lau base ezberdinen erregistroak jasotzen dira. Proiektu honen helburua erregistroak analizatzea eta karakterizatzea da. Erregistroak hartu ondoren tratatu egingo dira. Horretarako, bistarapen-erreminta bat garatzen da seinale biomedikoak eta datu klinikoak bistaratzeko. Gainera, erregistroen intereseko parametroak karakterizatzen dira, esate baterako, sexua, adina edo pazientearen gorpuzkera. Azkenik, kalitatearen karakterizazioa burutzen da. MATLAB programazioaren bidez, monitore-desfibriladoreak grabatutako seinaleak eta haren datu klinikoak bistaratzen duen erreminta garatzen da. Bestalde, arnasketaren geldipena bistaratzen duen erreminta egin da, zeinek seinaleak programagarriak diren leihoetan bistaratzen duen. Pazienteen datu kliniko interesgarriak karakterizatu dira. Azkenik, kalitatearen ikuspegitik analisia egin da bi ikuspuntu ezberdinetatik. Lehenengoa, CODE-STAT programaren bitartez lortutako kalitate-txostenetan oinarrituta dago, eta bigarrena MATLAB programaren bidez garatutako erremintarekin lortutako emaitzetan oinarritu da. Beraz, oso garrantzitsua izango zen etorkizunerako mantentzea unibertsitatearen eta Emergencias-Osakidetzaren arteko lan-harremana, datuak eta haien karakterizazioa funtsezkoa baita ikerketarako. Hori guztia, arnasketaren geldipenean emandako erantzuna hobetzeko beharrezkoa da.