May 1, 1997Pacing and Clinical Electrophysiology

An Up‐Down Bayesian, Defibrillation Efficacy Estimator

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Population

Simulations and an experimental subset of six animals

Comparison

Up-down Bayesian estimation technique with fixed… vs Optimum Bayesian protocol

Design

Preclinical

Authors

ACALIKI T. COMPOSCity College of New York RMRobert MalkinDuke University RIR.E. IdekerUniversity of Tennessee at Knoxville

Discussion

Member takes

Implication

Bayesian protocol cuts complexity for defibrillation testing with minimal error; hypothesis-generating in animals, clinical validation required.

Structured PICO

Population

Simulations and an experimental subset of six animals

Intervention

Up-down Bayesian estimation technique with fixed step-size (up to 15 measurements)

Comparator

Optimum Bayesian protocol

Outcome

Root mean square (RMS) error of the estimated shock strength

A new up-down Bayesian protocol with fixed step-size reduces computational complexity for estimating defibrillation efficacy with minimal increase in RMS error.

Cite This Study

COMPOS et al. (1997) studied this question.

synapsesocial.com/papers/6a716d65ce524a4339c4f64e https://doi.org/10.1111/j.1540-8159.1997.tb06782.x

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Implication

Bayesian protocol cuts complexity for defibrillation testing with minimal error; hypothesis-generating in animals, clinical validation required.