Defibrillation efficacy estimation using Bayesian estimation theory

TitleDefibrillation efficacy estimation using Bayesian estimation theory
Publication TypeJournal Article
Year of Publication1993
AuthorsMalkin RA, Pilkington TC
JournalProceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing
Volume1
Start PageI-79-I-82
Date Published01/1993
Abstract

An implanted cardioverter/defibrillator (ICD) detects ventricular fibrillation (VF), a potentially fatal lack of electrical coordination in the heart, and then discharges a capacitor through the heart, hopefully restoring normal rhythm. One of the clinical difficulties with implanting an ICD is efficacy estimation, estimating the correct capacitor charging voltage. Current techniques require repeated inductions of VF, and yield inaccurate and poorly defined estimates. We have optimized these standard efficacy estimators using Bayesian estimation theory, reducing their rms error from 26% to 11%. We are currently developing a completely novel approach. Preliminary simulations suggest that 1 VF induction with our new approach gives efficacy estimates with rms errors as low as 2 VF inductions using standard approaches.

Short TitleProceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing