Maximum likelihood cardiac conduction velocity estimation in the presence of ambiguities in the locations and activation times of the recording points

In this paper, we study the problem of the cardiac conduction velocity (CCV) estimation for the sequential intracardiac mapping. We assume that the intracardiac electrograms of several cardiac sites are sequentially recorded, their activation times (ATs) are extracted, and the corresponding wavefronts are specified. The locations of the mapping catheter's electrodes and the ATs of the wavefronts are used here for the CCV estimation. We assume that the extracted ATs include some estimation errors, which we model with zero-mean white Gaussian noise values with known variances. Assuming stable planar wavefront propagation, we derive the maximum likelihood CCV estimator, when the synchronization times between various recording sites are unknown. We analytically evaluate the performance of the CCV estimator and provide its mean square estimation error. Our simulation results confirm the accuracy of the proposed method and the error analysis of the proposed CCV estimator.

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Maximum likelihood cardiac conduction velocity estimation in the presence of ambiguities in the locations and activation times of the recording points

Cited by 6 publications

References 13 publications

Modified maximum time difference intracardiac conduction velocity estimation

Modified maximum time difference intracardiac conduction velocity estimation

Two computationally efficient intracardiac conduction velocity estimators: Error analysis for the planar wavefronts

Cardiac conduction velocity estimation from sequential mapping assuming known Gaussian distribution for activation time estimation error

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