Title :
On the detection of Premature Ventricular Contractions
Author :
Couceiro, R. ; Carvalho, P. ; Henriques, J. ; Antunes, M.
Author_Institution :
Centre for Informatics and Systems, University of Coimbra, Portugal
Abstract :
Premature Ventricular Contractions (PVC) are a cardiac arrhythmia that can be associated with an increased risk of adverse cardiac events such as ventricular arrhythmias and sudden death. Therefore, the characterization of this arrhythmia becomes crucial in the early diagnosis and prevention of possible life threatening cardiac diseases. In this paper a new approach for automatic detection of PVCs is presented, based on morphological derivatives and information theory techniques. Using these approaches a set of patient invariant features is introduced. Sensibility and specificity results (respectively, 96.35% and 99.15%) show the potential of the algorithm when applied to the MIT-BIH Arrhythmia database.
Keywords :
Cardiac disease; Cardiology; Electrocardiography; Feature extraction; Heart rate variability; Morphology; Multi-layer neural network; Multilayer perceptrons; Neural networks; Vectors; Algorithms; Diagnosis, Computer-Assisted; Electrocardiography; Humans; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity; Ventricular Premature Complexes;
Conference_Titel :
Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE
Conference_Location :
Vancouver, BC
Print_ISBN :
978-1-4244-1814-5
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2008.4649349