[en] In this project the design and evaluation of two methods for suppressing the interference generated by chest compressions provided by the mechanical device LUCAS in the electrocardiogram (ECG) during the cardiopulmonary resuscitation massage are analyzed. The principal aim is to find a method to eliminate this artifact generated in the ECG in order to obtain a reliable diagnosis of the cardiac rhythm. Finding an effective method would be helpful to avoid the interruption of the resuscitation massage for proper rhythm analysis, which would increase the chances of resuscitation. A new database has been generated based on out-of-hospital cardiac arrest episodes following some established criteria. This new database contains 410 records of 86 different patients, 30 s of duration, which, have been recorded during cardiopulmonary resuscitation. Besides, a graphical interface tool has been developed in order to characterize the methods for suppressing the artifact. This interface shows the ECG, thoracic impedance signal and the ECG after suppression. Two filters were integrated in the interface: an adaptive filter and a constant coefficient filter. In order to evaluate the methods the sensitivity and the specificity of the rhythm classification algorithm were computed with the filtered ECG signals. The main contribution of this project is, therefore, the development of a powerful tool to analyze methods to suppress the artifact of the ECG generated by chest compressions during the cardiopulmonary resuscitation. This tool would be capable of analyzing resuscitation episodes of any origin and implementing new methods of suppressing the artefact.

[eu] Proiektu honetan bihotz-biriketako berpizte masajearen bular-sakadek LUCAS izeneko gailu mekanikoa erabiltzen denean, elektrokardiograman (EKG) sortzen duten interferentzia kentzeko bi metodoen diseinua eta azterketa egingo da. Helburu nagusia, artefaktu hau era eraginkorrean kentzeko metodo bat aurkitzea da, bihotz-erritmoaren diagnostiko fidagarria lortzeko. Metodo eraginkorra lortzea oso lagungarria izango litzateke berpizte masajea eten gabe diagnostiko fidagarria lortzeak berpizteko aukerak handituko lituzkeelako. Proiektua gauzatzeko ospitalez kanpoko geldialdien erregistro multzo batetik abiatuta datu-base propioa garatu da, ezarritako irizpide batzuk jarraituz. Datu-base berri hau 86 pazienteren 410 mozketek osatzen dute, 30 segundotakoak, non pazienteek kanpoko bular masajea jasotzen duten. Bestalde, artefaktua kentzen duten metodoak ezaugarritzeko interfaze grafiko bat garatu da, EKG, bular-inpedantziaren seinalea eta EKG interferentziarik gabe denboran erakusten duena. Tresna hau erabiliz aipatutako datu-baseko erregistroen prozesaketa egin da, bi metodo desberdin erabiliz: LMS algoritmoan oinarritutako iragazki moldakorra eta koefiziente konstanteko iragazkia. Metodoen ebaluazioa erritmo sailkapenerako algoritmoaren sentsibilitatea eta espezifikotasuna kontuan hartuz egin da. Proiektuaren ekarpen nagusia, beraz, bihotz-biriketako berpizte masajearen bular-sakadek eragindako interferentzia kentzeko metodoak ebaluatuko dituen tresna garatzea da. Tresna honek, gainera, jatorri desberdineko bestelako berpizte episodioak eta beste metodo batzuk aztertzeko ere balioko du.