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A High-Performance FPGA-Based Fuzzy Processor Architecture for Medical Diagnosis
September/October 2008 (vol. 28 no. 5)
pp. 38-52
Shubhajit Roy Chowdhury, Jadavpur University
Hiranmay Saha, Jadavpur University
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 192 s. The processor implemented on board consumes as low as 70 milliwatts power. The processor performs medical diagnosis with 97.5 percent accuracy.

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Index Terms:
fuzzy logic, parallel architectures, pipeline processing, rule-based systems
Citation:
Shubhajit Roy Chowdhury, Hiranmay Saha, "A High-Performance FPGA-Based Fuzzy Processor Architecture for Medical Diagnosis," IEEE Micro, vol. 28, no. 5, pp. 38-52, Sept.-Oct. 2008, doi:10.1109/MM.2008.63
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