Design of a VLSI Hamming Neural Network for Arrhythmia Classification
نویسندگان
چکیده
The implantable cardioverter defibrillators (ICDs) detect and treat dangerous cardiac arrhythmia. This paper describes a VLSI neural network chip to be implemented using 0.35μ CMOS technology which acts as an intercardia tachycardia classification system. The Hamming net used to classify non binary input pattern and also reduce impact of noise, drift and offset inherent in analog application.
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عنوان ژورنال:
- Journal of Circuits, Systems, and Computers
دوره 18 شماره
صفحات -
تاریخ انتشار 2009