DESIGN OF A VLSI HAMMING NEURAL NETWORK FOR ARRHYTHMIA CLASSIFICATION
2009 ◽
Vol 18
(04)
◽
pp. 825-839
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Keyword(s):
The implantable cardioverter defibrillators (ICDs) detect and treat dangerous cardiac arrhythmia. This paper describes a VLSI neural network chip to be implemented using 0.35 μ CMOS technology which acts as an intercardia tachycardia classification system. The Hamming network used to classify non binary input pattern and also reduce impact of noise, drift and offset inherent in analog application. Simulation result using HSPICE and level 49 parameters (BSIM3V3) that verify the functionality of circuit are presented.
2004 ◽
Vol 16
(6-7)
◽
pp. 363-372
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2009 ◽
Vol 18
(3)
◽
pp. 236-240
◽
1998 ◽
Vol 31
(2)
◽
pp. 434A-435A
2019 ◽