DocumentCode :
1291688
Title :
Theoretical predictions of the optimal monophasic and biphasic defibrillation waveshapes
Author :
Fishler, Matthew G.
Author_Institution :
St. Jude Med. CRMD, Sunnyvale, CA, USA
Volume :
47
Issue :
1
fYear :
2000
Firstpage :
59
Lastpage :
67
Abstract :
The truncated decaying exponential waveshape has become the de facto standard for implantable cardiac defibrillators. However, the optimal defibrillation waveshape with respect to delivered energy remains unknown. To this end, this study has derived the theoretically optimal waveshapes for monophasic and biphasic defibrillation shocks as predicted from a lumped-component model of cardiac tissue in conjunction with the "charge-banking" and "charge-burping" hypotheses of defibrillation. These derivations predict that a truncated ascending exponential waveshape-with a shock time constant, τ s, always equal to the underlying tissue time constant, τ m-minimizes the delivered energy required for defibrillation. These predictions are quantitatively consistent with available experimental data. Thus, to the extent that "charge-banking" and "charge-burping" are assumed to be valid and accurate models of defibrillation, these derivations identify the theoretical "gold standards" of defibrillation waveshapes requiring minimum delivered energy.
Keywords :
defibrillators; physiological models; biphasic defibrillation waveshapes; cardiac tissue; charge-banking hypothesis; charge-burping hypothesis; implantable cardiac defibrillators; lumped-component model; minimum delivered energy; model robustness; monophasic defibrillation waveshapes; optimal waveshape prediction; shock time constant; truncated ascending exponential waveshape; truncated decaying exponential waveshape; underlying tissue time constant; Cardiac tissue; Circuits; Defibrillation; Electric shock; Helium; Mathematical model; Predictive models; Pulse generation; Robustness; Signal generators; Electric Countershock; Energy Metabolism; Models, Cardiovascular; Myocardium; Signal Processing, Computer-Assisted;
fLanguage :
English
Journal_Title :
Biomedical Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9294
Type :
jour
DOI :
10.1109/10.817620
Filename :
817620
Link To Document :
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