FPGA Implementation of Expert System for Medical Diagnosis of Disc Hernia Diagnosis Based on Bayes Theorem
Апстракт
The aim of this research is to create a medical expert system based on Bayes theorem to diagnose level of disc hernia based on real foot force measurement signals obtained using sensors and implement the whole system on field programable gate array (FPGA). We have created a database of attributes based on recorded foot force values of 33 patients pre-diagnosed with herniated disc on levels L4/L5 or L5/S1 on the left or right side. The results obtained by software (Matlab) and hardware (FPGA simulation) are matching well, achieving high accuracy, which shows that VHDL implementation of Naïve Bayes theorem for disc hernia diagnostics is adequate. The output on FPGA is easy to understand for any user, as it is implemented as four-bit output where the position of bit value 1 indicates the level of disc herniation. The system is able to distinguish between the healthy subjects and subjects with disc herniation and is able to detect if improvement in stability is present after surgery or phy...sical therapy. Our proposed measurement platform can be coupled with FPGA to create a portable and not expensive tool for real time signal acquisition, processing and decision support system in disc hernia diagnosis and post-surgical recovery.
Кључне речи:
Disc hernia diagnosis / Bayes theorem / medical expert system / FPGAИзвор:
Journal of Circuits, Systems and Computers, 2023, 32, 3, 2350038-Издавач:
- World Scientific Publishing Co Pte Ltd
DOI: 10.1142/S021812662350038X
ISSN: 0218-1266
WoS: 00084936960000
Scopus: 2-s2.0-85138175384
Колекције
Институција/група
Geografski fakultetTY - JOUR AU - Šušteršič, Tijana AU - Peulić, Aleksandar PY - 2023 UR - http://gery.gef.bg.ac.rs/handle/123456789/1220 AB - The aim of this research is to create a medical expert system based on Bayes theorem to diagnose level of disc hernia based on real foot force measurement signals obtained using sensors and implement the whole system on field programable gate array (FPGA). We have created a database of attributes based on recorded foot force values of 33 patients pre-diagnosed with herniated disc on levels L4/L5 or L5/S1 on the left or right side. The results obtained by software (Matlab) and hardware (FPGA simulation) are matching well, achieving high accuracy, which shows that VHDL implementation of Naïve Bayes theorem for disc hernia diagnostics is adequate. The output on FPGA is easy to understand for any user, as it is implemented as four-bit output where the position of bit value 1 indicates the level of disc herniation. The system is able to distinguish between the healthy subjects and subjects with disc herniation and is able to detect if improvement in stability is present after surgery or physical therapy. Our proposed measurement platform can be coupled with FPGA to create a portable and not expensive tool for real time signal acquisition, processing and decision support system in disc hernia diagnosis and post-surgical recovery. PB - World Scientific Publishing Co Pte Ltd T2 - Journal of Circuits, Systems and Computers T1 - FPGA Implementation of Expert System for Medical Diagnosis of Disc Hernia Diagnosis Based on Bayes Theorem VL - 32 IS - 3 SP - 2350038 DO - 10.1142/S021812662350038X ER -
@article{ author = "Šušteršič, Tijana and Peulić, Aleksandar", year = "2023", abstract = "The aim of this research is to create a medical expert system based on Bayes theorem to diagnose level of disc hernia based on real foot force measurement signals obtained using sensors and implement the whole system on field programable gate array (FPGA). We have created a database of attributes based on recorded foot force values of 33 patients pre-diagnosed with herniated disc on levels L4/L5 or L5/S1 on the left or right side. The results obtained by software (Matlab) and hardware (FPGA simulation) are matching well, achieving high accuracy, which shows that VHDL implementation of Naïve Bayes theorem for disc hernia diagnostics is adequate. The output on FPGA is easy to understand for any user, as it is implemented as four-bit output where the position of bit value 1 indicates the level of disc herniation. The system is able to distinguish between the healthy subjects and subjects with disc herniation and is able to detect if improvement in stability is present after surgery or physical therapy. Our proposed measurement platform can be coupled with FPGA to create a portable and not expensive tool for real time signal acquisition, processing and decision support system in disc hernia diagnosis and post-surgical recovery.", publisher = "World Scientific Publishing Co Pte Ltd", journal = "Journal of Circuits, Systems and Computers", title = "FPGA Implementation of Expert System for Medical Diagnosis of Disc Hernia Diagnosis Based on Bayes Theorem", volume = "32", number = "3", pages = "2350038", doi = "10.1142/S021812662350038X" }
Šušteršič, T.,& Peulić, A.. (2023). FPGA Implementation of Expert System for Medical Diagnosis of Disc Hernia Diagnosis Based on Bayes Theorem. in Journal of Circuits, Systems and Computers World Scientific Publishing Co Pte Ltd., 32(3), 2350038. https://doi.org/10.1142/S021812662350038X
Šušteršič T, Peulić A. FPGA Implementation of Expert System for Medical Diagnosis of Disc Hernia Diagnosis Based on Bayes Theorem. in Journal of Circuits, Systems and Computers. 2023;32(3):2350038. doi:10.1142/S021812662350038X .
Šušteršič, Tijana, Peulić, Aleksandar, "FPGA Implementation of Expert System for Medical Diagnosis of Disc Hernia Diagnosis Based on Bayes Theorem" in Journal of Circuits, Systems and Computers, 32, no. 3 (2023):2350038, https://doi.org/10.1142/S021812662350038X . .