Title :
Detectability of the epicardial breakthrough phenomenon from body surface potential maps by a linear predictive algorithm
Author :
Cserjes, Zs. ; Kozmann, Gy ; Baruffi, S. ; Spaggiari, S. ; Macchi, E.
Author_Institution :
Res. Inst. for Mater. Sci., Budapest, Hungary
Abstract :
The evaluation of tank-wall and epicardial potential field data of six isolated dog heart experiments was used to validate the simple linear predictive algorithm which was suggested earlier for the detection of characteristic events of ventricular activation (including epicardial breakthroughs). The validation of the algorithm was achieved by comparing the spatio-temporal estimated breakthrough parameters with those, obtained by the visual inspection of epicardial activation maps. Results suggest that most of the major epicardial breakthroughs can be detected accurately. In the six epicardial activation maps considered, 14 breakthroughs were identified. Eleven from these were correctly detected by the prediction error analysis, two were detected 2 msec (1 sample) earlier, one was missed while no false positive detection occurred
Keywords :
bioelectric potentials; electrocardiography; medical signal processing; surface potential; 2 ms; body surface potential maps; characteristic events detection; epicardial breakthrough phenomenon detectability; false positive detection; isolated dog heart experiments; linear predictive algorithm; major epicardial breakthroughs; prediction error analysis; simple linear predictive algorithm; ventricular activation; Amplitude estimation; Biomedical engineering; Electrocardiography; Electrodes; Event detection; Heart; Information technology; Materials science and technology; Prediction algorithms; Signal processing algorithms;
Conference_Titel :
Computers in Cardiology 1993, Proceedings.
Conference_Location :
London
Print_ISBN :
0-8186-5470-8
DOI :
10.1109/CIC.1993.378443