Abstract-The nature and organization of electrical activity during ventricular fibrillation (VF) are important and controversial subjects dominated by 2 competing theories: the wavebreak and the dominant mother rotor hypothesis. To investigate spatiotemporal characteristics of ventricular fibrillation (VF), transmembrane potentials (V m ) were recorded from multiple sites of perfused rabbit hearts using a voltage-sensitive dye and a photodiode array or a CCD camera, and the time-frequency characteristics of V m were analyzed by short-time fast Fourier transform (FFT) or generalized time-frequency representation with a cone-shaped kernel. The analysis was applied to all pixels to track VF frequencies in time and space. VF consisted of blobs, which are groups of contiguous pixels with a common frequency and an ill-defined shape. At any time t, several VF frequency blobs coexisted in the field of view, and the number of coexisting blobs was on average 5.9Ϯ2.1 (nϭ8 hearts) as they appeared and disappeared discontinuously with time and were not fixed in space. The life span of frequency blobs from birth to either annihilation or breakup to another frequency had a half-life of 0.39Ϯ0.13 second (nϭ4 hearts). The Ca 2ϩ channel blocker nifedipine increased the stability of VF frequencies and reduced the number of frequency blobs progressing to a single frequency. In conclusion, VF consists of dynamically changing frequency blobs, which have a short life span and can be modified by pharmacological interventions, suggesting that VF is maintained by dynamically changing multiple wavelets. V entricular fibrillation (VF) has been linked to the development of vortex-like reentry or spiral waves that have been studied in computer simulations, 1,2 tissue slices, and perfused hearts. 3,4 In this context, nonstationary (meandering or drifting) spiral waves and/or their turbulence could account for the complex morphology of electrocardiograms (ECGs) in VF. Experimental studies mapped electrical activation using multiple electrodes or optical probes of membrane potential to investigate the mechanisms underlying ECG signals seen in VF. VF has been traditionally investigated by analyzing activation maps, but the complex waveforms recorded in VF and the algorithms used to derive activation maps have made it difficult to interpret the underlying mechanisms. Another approach is to analyze voltage oscillations in the frequency domain using fast Fourier transforms (FFT) and to represent reentrant circuits as sources of periodic wave formation. [5][6][7] However, FFT spectra must be interpreted with caution because they measure the averaged contribution of each frequency component with no information on their time of occurrence. For instance, simple FFT spectra with a single dominant peak can be generated from continuously appearing and disappearing frequency sources; conversely, complex FFT spectra can be obtained from a single source with an increasing and/or decreasing frequency.To overcome the limitations of frequency analysis, this stu...