FPGA Implementation of Fuzzy Medical Decision Support System for Disc Hernia Diagnosis

Tijana Šušteršič1, Miodrag Peulić2 and Aleksandar Peulić3

  1. Faculty of Engineering, University of Kragujevac
    Sestre Janjić 6, 34000 Kragujevac, Serbia
  2. Clinical Centre Kragujevac
    Zmaj Jovina 30, 34000 Kragujevac, Serbia
  3. Faculty of Geography, University of Belgrade
    Studentski trg 3, 11000 Belgrade, Serbia


The aim of this study was to create a decision support system for disc hernia diagnostics based on real measurements of foot force values from sensors and fuzzy logic, as well as to implement the system on Field Programmable Gate Array (FPGA). The results show that the created fuzzy logic system had the 92.8% accuracy for pre-operational diagnosis and very high match between the Matlab and FPGA output (94.2% match for pre-operational condition, and 100% match for the post-operational and after physical therapy conditions). Interestingly enough, our system is also able to detect improvements in patient condition after the surgery and physical therapy. The main benefit of using FPGAs in this study is to create an inexpensive, portable expert system for real time acquisition, processing and providing the objective recommendation for disc hernia diagnosis and tracking the condition improvement.

Key words

disc hernia diagnosis, fuzzy inference systems, FPGA, medical decision support system, hardware

Digital Object Identifier (DOI)


Publication information

Volume 18, Issue 3 (June 2021)
Year of Publication: 2021
ISSN: 1820-0214 (Print) 2406-1018 (Online)
Publisher: ComSIS Consortium

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How to cite

Šušteršič, T., Peulić, M., Peulić, A.: FPGA Implementation of Fuzzy Medical Decision Support System for Disc Hernia Diagnosis. Computer Science and Information Systems, Vol. 18, No. 3, 619–640. (2021), https://doi.org/10.2298/CSIS200224015S