Key result
Implementation of two signal processing algorithms allows on-line beat-to-beat monitoring of local activation velocity, direction, and fractionation index for heart rates up to 1800 bpm.
Novel signal processing algorithms allow for real-time, beat-to-beat analysis of cardiac activation and fractionation in fast-beating in-vitro models like the mouse heart.
Two signal processing algorithms for the on-line analysis of local propagation of activation during electrophysiological in-vitro experiments with heart preparations are presented. The first algorithm computes local velocity and direction of the propagating activation wave. Along with the values, their uncertainties due to noise are given. The second algorithm determines the fractionation index, a quantitative measure to characterize fractionated electrograms. These parameters are expected to provide valuable information for the characterization of the microstructure of the tissue under examination. The implementation of these algorithms in a measurement system allows the on-line monitoring of the resulting parameters in a beat-to-beat manner for heart rates up to 1800 beats per minute. This enables the examination of tachycardia even in fast beating preparations like the mouse heart.
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Wiener et al. (2012) studied Electrophysiological in-vitro experiments. Signal processing algorithms was evaluated. Implementation of two signal processing algorithms allows on-line beat-to-beat monitoring of local activation velocity, direction, and fractionation index for heart rates up to 1800 bpm.
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