@misc{Duraj_Agnieszka_Algorytmy, author={Duraj, Agnieszka}, howpublished={online}, language={pol}, abstract={This dissertation presents the problem of detection and classification of QRS complexes with ECG signals coming from patients with implanted cardiac pacemaker. Special attention was focused on the use of wavelet - neural networks in above mentioned subject matter of investigation. Efficiency of detection of QRS complex was examined by algorithms working in time domain.}, abstract={In the first part of the dissertation, the current knowledge of electrokardiography and pacemaker was summed up. Technical problems with analysing and recording signals by means of the Holter method were indicated. The methods of detection and classification of QRS complex were discussed five groups, not three groups as indicated in literature, were identified. The comparison of the methods was carried out.}, abstract={Second part was the presentation of knowledge of the use of wavelet - neural networks. It mainly presents the results of detection of QRS complex and classification of the endogenic rhythm. The efficiency of algorithms working in time domain was analysed and evaluated.}, title={Algorytmy rozpoznawania zespołu QRS w sygnałach elektrokardiograficznych pochodzącychod pacjentów z wszczepionym układem stymulującym}, type={rozprawa doktorska}, keywords={detekcja zespołu QRS, sieci falkowo - neuronowe, klasyfikacja rytmu endogennego}, }