| Detection Algorithms in Implantable
Cardioverter Defibrillators |
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| Janice M. Jenkins, Stephanie A. Caswell |
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| Over 75,000 implantable cardioverter defibrillators
(ICDs) have been implanted since FDA approval in 1985. These devices
are designed to reverse sudden cardiac death, a phenomenon which claims
400,000 lives per year in the US. The devices have dramatically reduced
this mortality (from earlier figures of over 500,000) and continue
to yield impressive survival rates.
We are now in the third generation of these devices. First-generation
ICDs merely shocked, and the decision invoked was based on a simple
heart-rate threshold. Second-generation ICDs expanded the logical
decision and used heart rate derivatives (rate of change, stability
of fast rate duration) for improved specificity. Third-generation
devices offer tier-therapy (pacing, low energy cardioversion, and
defibrillation), as well as ventricular tachycardia (VT) and ventricular
fibrillation (VF) zones to further refine therapeutic choice.
Yet ICDs employ ventricular sensors alone for detection strategy,
continue to realize false shocks as high as 40% of all delivered,
and are experiencing patient dissatisfaction with false shock aggravation
and early battery depletion. Microprocessors and analog-to-digital
converters are now incorporated into the miniaturized circuitry,
giving promise of more sophisticated signal processing techniques
to address the arrhythmia detection schemes possible in next-generation
ICDs.
This paper describes the historical approach, gives details of
ongoing studies in modern research laboratories, and predicts changes
in technology which can be expected to dramatically improve the
safety and efficacy of ICDs of the future. |
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| Published in Proceedings of IEEE 1996 |