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A low power VLSI neural network based arrythmia classifier

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4 Author(s)
H. Shawkey ; Electron. Res. Inst., Cairo, Egypt ; H. Elsimary ; H. Ragaai ; H. Haddara

Implantable cardioverter defibrillators (ICDs) detect and treat dangerous cardiac arrhythmia. This paper describes a low-power VLSI neural network chip which acts as an intracardiac tachycardia classification system. A robust neural network reduces the impact of noise, drift and offsets that are inherent in analog applications. Our system uses a Kohonen self-organizing map, and has a typical power consumption of a few milliwatts

Published in:

Computer-Based Medical Systems, 1998. Proceedings. 11th IEEE Symposium on

Date of Conference:

12-14 Jun 1998