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National Repository of Grey Literature 3 records found  Search took 0.01 seconds. 
Detection of true complete left bundle branch block
 Opravilová, Kamila ; Vítek, Martin (referee) ; Smíšek, Radovan (advisor)
The aim of this bachelor thesis is to get acquainted with the theory regarding electrophysiology of the heart and the pathology of Left Bundle Branch Block, LBBB for short. One of the goals is to make annotated database of QRS complexes for testing the LBBB algorithms. Next step will be to write and test these algorithms. Detection of LBBB is important, because it is one of the predictors of successfulness of resynchronization therapy. Conventional criteria for detection are not usable because of their low accuracy, that is why Straus' criteria had been made, those are way more accurate. This programme will abide these criteria. The overall evaluation of successfulness of this algorithm's detection is 100 % sensitivity and 69 % specifity. Therefore we can determine which patients do not suffer from LBBB without the risk of being wrong.
Detailed record
Detection Of True Complete Left Bundle Branch Block
 Chocholáčová, Kamila
The goal of this work is to design an algorithm for automatic detection of Strauss criteria in order to diagnose complete left bundle branch block and to create a database of QRS complexes to test the algorithm. Conventional criteria are incorrect in two thirds of all cases. That is the reason why Strauss criteria, which are more precise, were created. The program will be directed by those criteria.
Detailed record
Detection of true complete left bundle branch block
 Opravilová, Kamila ; Vítek, Martin (referee) ; Smíšek, Radovan (advisor)
The aim of this bachelor thesis is to get acquainted with the theory regarding electrophysiology of the heart and the pathology of Left Bundle Branch Block, LBBB for short. One of the goals is to make annotated database of QRS complexes for testing the LBBB algorithms. Next step will be to write and test these algorithms. Detection of LBBB is important, because it is one of the predictors of successfulness of resynchronization therapy. Conventional criteria for detection are not usable because of their low accuracy, that is why Straus' criteria had been made, those are way more accurate. This programme will abide these criteria. The overall evaluation of successfulness of this algorithm's detection is 100 % sensitivity and 69 % specifity. Therefore we can determine which patients do not suffer from LBBB without the risk of being wrong.
Detailed record

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