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A High-Performance FPGA-Based Fuzzy Processor Architecture for Medical Diagnosis

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2 Author(s)
Chowdhury, S.R. ; Jadavpur Univ., Kolkata ; Saha, H.

An auto-decision-making system for medical diagnosis could help make up for the lack of physicians in rural areas of many third-world countries. This high-performance, low-power, pipelined parallel fuzzy processor based on a dedicated single-chip architecture performs high-speed fuzzy inferences with processing speed up to 5.0 Mflips at a clock frequency of 40 MHz using 256 rules having one consequent each, 16 input variables, and 16-bit resolution. The processor operates in real time producing results within an interval of 1.92mus. The processor implemented on board consumes as low as 70 milliwatt power. The processor performs medical diagnosis with 97.5 percent accuracy.

Published in:

Micro, IEEE  (Volume:28 ,  Issue: 5 )