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A low power VLSI neural network based arrhythmia classifier
Conference proceeding

A low power VLSI neural network based arrhythmia classifier

H Shawkey, H Elsimary, H Ragaai, H Haddara and IEEE
11TH IEEE SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS, PROCEEDINGS, pp.282-288
01/01/1998

Abstract

Computer Science Computer Science, Interdisciplinary Applications Computer Science, Theory & Methods Life Sciences & Biomedicine Medical Informatics Optics Physical Sciences Radiology, Nuclear Medicine & Medical Imaging Science & Technology Technology
The 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 impact of noise, drift and offsets inherent in analog applications. Our system uses a Kohonen self organizing map, and has a typical power consumption of few milliwatts.

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