FPGA implementation of fuzzy medical decision support system for disc hernia diagnosis
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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.
Кључне речи:
disc hernia diagnosis / fuzzy inference systems / FPGA / medical decision support system / hardwareИзвор:
Computer Science and Information Systems, 2021, 18, 3, 619-640Издавач:
- ComSIS Consortium
DOI: 10.2298/CSIS200224015S
ISSN: 1820-0214
WoS: 000670316400002
Scopus: 2-s2.0-85110653939
Колекције
Институција/група
Geografski fakultetTY - JOUR AU - Šušteršič, Tijana AU - Peulić, Miodrag AU - Peulić, Aleksandar PY - 2021 UR - http://gery.gef.bg.ac.rs/handle/123456789/1223 AB - 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. PB - ComSIS Consortium T2 - Computer Science and Information Systems T1 - FPGA implementation of fuzzy medical decision support system for disc hernia diagnosis VL - 18 IS - 3 SP - 619 EP - 640 DO - 10.2298/CSIS200224015S ER -
@article{ author = "Šušteršič, Tijana and Peulić, Miodrag and Peulić, Aleksandar", year = "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.", publisher = "ComSIS Consortium", journal = "Computer Science and Information Systems", title = "FPGA implementation of fuzzy medical decision support system for disc hernia diagnosis", volume = "18", number = "3", pages = "619-640", doi = "10.2298/CSIS200224015S" }
Šušteršič, T., Peulić, M.,& Peulić, A.. (2021). FPGA implementation of fuzzy medical decision support system for disc hernia diagnosis. in Computer Science and Information Systems ComSIS Consortium., 18(3), 619-640. https://doi.org/10.2298/CSIS200224015S
Šušteršič T, Peulić M, Peulić A. FPGA implementation of fuzzy medical decision support system for disc hernia diagnosis. in Computer Science and Information Systems. 2021;18(3):619-640. doi:10.2298/CSIS200224015S .
Šušteršič, Tijana, Peulić, Miodrag, Peulić, Aleksandar, "FPGA implementation of fuzzy medical decision support system for disc hernia diagnosis" in Computer Science and Information Systems, 18, no. 3 (2021):619-640, https://doi.org/10.2298/CSIS200224015S . .