Optimum estimation of the 95 percent effective defibrillation dose

Optimum Bayesian algorithms were compared with three currently used approaches to estimating the leading edge voltage which successfully defibrillates 95% of the time (ED95). Two different design methods were used for the Bayesian techniques. Five dogs were investigated using the Bayesian algorithms, the up-down technique, the Bourland method, the step-down method, and, for reference, logistic regression. There was excellent agreement between the computer-predicted and measured performances. Both the computer predictions and the animal experimentation confirmed that the Bayesian method is significantly better than the three currently used methods for estimating the ED95.

Duke Scholars

Author Robert A. Malkin Biomedical Engineering