Please use this identifier to cite or link to this item: https://scidar.kg.ac.rs/handle/123456789/13551
Title: FPGA implementation of fuzzy medical decision support system for disc hernia diagnosis
Authors: Sustersic, Tijana
Peulic, Miodrag
Peulic, Aleksandar
Issue Date: 2021
Abstract: 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.
URI: https://scidar.kg.ac.rs/handle/123456789/13551
Type: article
DOI: 10.2298/CSIS200224015S
ISSN: 1820-0214
SCOPUS: 2-s2.0-85110653939
Appears in Collections:Faculty of Engineering, Kragujevac

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