Title :
Activation in unipolar cardiac electrograms: a frequency analysis
Author :
Cabo, Candido ; Wharton, Marcus J. ; Wolf, Patrick D. ; Ideker, Raymond E. ; Smith, William M.
Author_Institution :
Duke Univ. Med. Center, Durham, NC, USA
fDate :
5/1/1990 12:00:00 AM
Abstract :
Several detectors of local activations in unipolar cardiac electrograms are discussed. The detectors are based on the frequency content of the waveforms. For this study, myocardial regions with no local electrical activity were created with cryoablation in canine ventricles, so that the characteristics of electrograms reflecting local activation could be compared with those with only distant electrical activity. For each electrogram, representations, of the original signal were created using the output of bandpass filters; for each representation, the value of the maximum amplitude was taken as a measurement of the frequency content of the electrogram in that frequency band. The content of each frequency band and the first derivative of the signal were tested as discriminators between local and distant electrical activity. Combinations of frequency bands were also tested using a logistic regression technique. It was found that a detector based on multivariate analysis of different frequency components of a signal may be more effective than single-band filtering in discriminating between local and distant electrical activity in the heart, especially when those components have very different magnitudes.
Keywords :
electrocardiography; bandpass filters; canine ventricles; cryoablation; distant electrical activity; frequency analysis; frequency bands; heart; local electrical activity; logistic regression technique; multivariate analysis; myocardial regions; single-band filtering; unipolar cardiac electrograms; Algorithm design and analysis; Detectors; Disk recording; Electrodes; Extracellular; Frequency; Heart; Signal analysis; Signal mapping; Testing; Algorithms; Animals; Cardiac Pacing, Artificial; Dogs; Electrocardiography; Heart; Myocardium; Necrosis; Predictive Value of Tests; Signal Processing, Computer-Assisted;
Journal_Title :
Biomedical Engineering, IEEE Transactions on