Title :
Estimation of propagation speed during ventricular fibrillation from frequency-wavenumber power spectra
Author :
Bayly, PV ; Hillsley, RE ; Gerstle, RJ ; Wolf, PD ; Smith, WM ; Ideker, RE
Author_Institution :
Duke Univ., Durham, NC, USA
Abstract :
Propagation speed during ventricular fibrillation (VF) in pigs was estimated from the frequency-wavenumber power spectrum of epicardial mapping data. Data from a 22/spl times/23 array of epicardial electrodes were analyzed to obtain power as a function of wavenumber (spatial frequency). Temporal power spectra were found at each of 10 dominant wavenumbers. Wave speed (in units of mm/s) was estimated from a weighted average of temporal frequency (units of 1/s) divided by wavenumber magnitude (units of 1/mm). Speeds were estimated using data from simulations, sinus rhythm, and early VF. The effect of propranolol on conduction speed during VF was also investigated. The proposed method is useful for analyzing VF, when the existence of many incoherent wave fronts makes if difficult to measure wave speed.<>
Keywords :
electrocardiography; medical signal processing; spectral analysis; 22 times 23 array; conduction speed; epicardial electrodes; epicardial mapping data; frequency-wavenumber power spectra; incoherent wave fronts; pigs; propagation speed; propranolol effect; simulations; sinus rhythm; spatial frequency; temporal frequency; temporal power spectra; ventricular fibrillation; wave speed; wavenumber magnitude; weighted average; Animals; Electrodes; Fibrillation; Fourier transforms; Frequency conversion; Frequency estimation; Power harmonic filters; Rhythm; Time series analysis; Velocity measurement;
Conference_Titel :
Computers in Cardiology 1994
Conference_Location :
Bethesda, MD, USA
Print_ISBN :
0-8186-6570-X
DOI :
10.1109/CIC.1994.470224