TY  - 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 . .

TY  - JOUR
AU  - Peulić, Aleksandar
AU  - Peulić, Miodrag
AU  - Jovanović, Željko
AU  - Joković, Miloš
AU  - Stojković, Sanja
AU  - Vagić, Nemanja
PY  - 2021
UR  - http://gery.gef.bg.ac.rs/handle/123456789/1221
AB  - This article presents geographic information system usage in transportation management for comfort calculations, analysing vehicle vibration data measured during patient transportation. The main goal of this article is to develop a methodology for automatic discomfort cause recognition (DCR) that may be tested under real life conditions. We analysed differences between uncomfortable locations detected by passengers during patient transportation (according to their subjective opinions) and uncomfortable locations detected by the measurement system. The measuring system is based on the three-axis accelerometer which is used to determine road comfort values for specific locations gathered by a GPS module. The results obtained were compared with data collected by passengers. During driving, when they experienced discomfort, passengers marked locations in near real time using the GIS. The data thus obtained were analysed with the data obtained by DCR. For the first time, the application of GIS provides analytical tools to create spatial data and define spatial data relations that determine comfort. Testing under real conditions, involving three separate cases, shows a high degree of correlation between the results. The proposed system allows dynamic comfort threshold criteria management and provides a visual representation of summarized tabular data.
PB  - John Wiley & Sons, Ltd
T2  - Transactions in GIS
T1  - Locating and categorizing causes of discomfort during transport of patients to medical facilities
VL  - 25
IS  - 6
SP  - 2963
EP  - 2981
DO  - 10.1111/tgis.12797
ER  - 

@article{
author = "Peulić, Aleksandar and Peulić, Miodrag and Jovanović, Željko and Joković, Miloš and Stojković, Sanja and Vagić, Nemanja",
year = "2021",
abstract = "This article presents geographic information system usage in transportation management for comfort calculations, analysing vehicle vibration data measured during patient transportation. The main goal of this article is to develop a methodology for automatic discomfort cause recognition (DCR) that may be tested under real life conditions. We analysed differences between uncomfortable locations detected by passengers during patient transportation (according to their subjective opinions) and uncomfortable locations detected by the measurement system. The measuring system is based on the three-axis accelerometer which is used to determine road comfort values for specific locations gathered by a GPS module. The results obtained were compared with data collected by passengers. During driving, when they experienced discomfort, passengers marked locations in near real time using the GIS. The data thus obtained were analysed with the data obtained by DCR. For the first time, the application of GIS provides analytical tools to create spatial data and define spatial data relations that determine comfort. Testing under real conditions, involving three separate cases, shows a high degree of correlation between the results. The proposed system allows dynamic comfort threshold criteria management and provides a visual representation of summarized tabular data.",
publisher = "John Wiley & Sons, Ltd",
journal = "Transactions in GIS",
title = "Locating and categorizing causes of discomfort during transport of patients to medical facilities",
volume = "25",
number = "6",
pages = "2963-2981",
doi = "10.1111/tgis.12797"
}

Peulić, A., Peulić, M., Jovanović, Ž., Joković, M., Stojković, S.,& Vagić, N.. (2021). Locating and categorizing causes of discomfort during transport of patients to medical facilities. in Transactions in GIS
John Wiley & Sons, Ltd., 25(6), 2963-2981.
https://doi.org/10.1111/tgis.12797

Peulić A, Peulić M, Jovanović Ž, Joković M, Stojković S, Vagić N. Locating and categorizing causes of discomfort during transport of patients to medical facilities. in Transactions in GIS. 2021;25(6):2963-2981.
doi:10.1111/tgis.12797 .

Peulić, Aleksandar, Peulić, Miodrag, Jovanović, Željko, Joković, Miloš, Stojković, Sanja, Vagić, Nemanja, "Locating and categorizing causes of discomfort during transport of patients to medical facilities" in Transactions in GIS, 25, no. 6 (2021):2963-2981,
https://doi.org/10.1111/tgis.12797 . .

TY  - JOUR
AU  - Sustersić, Tijana
AU  - Ranković, Vesna
AU  - Peulić, Miodrag
AU  - Peulić, Aleksandar
PY  - 2020
UR  - https://gery.gef.bg.ac.rs/handle/123456789/1055
AB  - The aim of this research was to analyze objectively the process of disc herniation identification using Bayes Theorem. One of the symptoms of discus hernia is muscle weakness on the foot that is caused by displaced discs in the space of two vertebrae. This fact is used by experts in initial diagnosis of herniated discs and we used it to create non-invasive platform for the same purposes by measuring force values from four sensors placed on both feet (first, second, and fourth metatarsal head as well as the heel). Dataset consisted of several minute force recordings of 56 subjects with discus hernia and 15 healthy individuals during normal standing, standing on forefeet and heels. The subjects were diagnosed by a specialist with either L4/L5 or L5/S1 discus hernia. Collected recordings were processed in several steps including filtering, extraction of forefeet and heel recordings, classification of average values for forefeet, and heel sensors to the groups with or without foot muscle weakness. Application of Bayes Theorem on the attributes of interest showed average 78.3 accuracy with 62.6 sensitivity and 80.9 specificity, while application of naive Bayes Network showed average 83.1 accuracy with 57.6 sensitivity and 88.2 specificity. Very weak or no correlation was observed between gender and disc hernia diagnosis (or obesity type and disc hernia diagnosis). Obtained results show that this method can be used in initial screening of patients and be a supportive tool to doctors to send the same patients for further examination.
PB  - IEEE -Inst Electrical Electronics Engineers Inc, Piscataway
T2  - IEEE Journal of Biomedical and Health Informatics
T1  - An Early Disc Herniation Identification System for Advancement in the Standard Medical Screening Procedure Based on Bayes Theorem
VL  - 24
IS  - 1
SP  - 151
EP  - 159
DO  - 10.1109/JBHI.2019.2899665
UR  - https://hdl.handle.net/21.15107/rcub_gery_1055
ER  - 

@article{
author = "Sustersić, Tijana and Ranković, Vesna and Peulić, Miodrag and Peulić, Aleksandar",
year = "2020",
abstract = "The aim of this research was to analyze objectively the process of disc herniation identification using Bayes Theorem. One of the symptoms of discus hernia is muscle weakness on the foot that is caused by displaced discs in the space of two vertebrae. This fact is used by experts in initial diagnosis of herniated discs and we used it to create non-invasive platform for the same purposes by measuring force values from four sensors placed on both feet (first, second, and fourth metatarsal head as well as the heel). Dataset consisted of several minute force recordings of 56 subjects with discus hernia and 15 healthy individuals during normal standing, standing on forefeet and heels. The subjects were diagnosed by a specialist with either L4/L5 or L5/S1 discus hernia. Collected recordings were processed in several steps including filtering, extraction of forefeet and heel recordings, classification of average values for forefeet, and heel sensors to the groups with or without foot muscle weakness. Application of Bayes Theorem on the attributes of interest showed average 78.3 accuracy with 62.6 sensitivity and 80.9 specificity, while application of naive Bayes Network showed average 83.1 accuracy with 57.6 sensitivity and 88.2 specificity. Very weak or no correlation was observed between gender and disc hernia diagnosis (or obesity type and disc hernia diagnosis). Obtained results show that this method can be used in initial screening of patients and be a supportive tool to doctors to send the same patients for further examination.",
publisher = "IEEE -Inst Electrical Electronics Engineers Inc, Piscataway",
journal = "IEEE Journal of Biomedical and Health Informatics",
title = "An Early Disc Herniation Identification System for Advancement in the Standard Medical Screening Procedure Based on Bayes Theorem",
volume = "24",
number = "1",
pages = "151-159",
doi = "10.1109/JBHI.2019.2899665",
url = "https://hdl.handle.net/21.15107/rcub_gery_1055"
}

Sustersić, T., Ranković, V., Peulić, M.,& Peulić, A.. (2020). An Early Disc Herniation Identification System for Advancement in the Standard Medical Screening Procedure Based on Bayes Theorem. in IEEE Journal of Biomedical and Health Informatics
IEEE -Inst Electrical Electronics Engineers Inc, Piscataway., 24(1), 151-159.
https://doi.org/10.1109/JBHI.2019.2899665
https://hdl.handle.net/21.15107/rcub_gery_1055

Sustersić T, Ranković V, Peulić M, Peulić A. An Early Disc Herniation Identification System for Advancement in the Standard Medical Screening Procedure Based on Bayes Theorem. in IEEE Journal of Biomedical and Health Informatics. 2020;24(1):151-159.
doi:10.1109/JBHI.2019.2899665
https://hdl.handle.net/21.15107/rcub_gery_1055 .

Sustersić, Tijana, Ranković, Vesna, Peulić, Miodrag, Peulić, Aleksandar, "An Early Disc Herniation Identification System for Advancement in the Standard Medical Screening Procedure Based on Bayes Theorem" in IEEE Journal of Biomedical and Health Informatics, 24, no. 1 (2020):151-159,
https://doi.org/10.1109/JBHI.2019.2899665 .,
https://hdl.handle.net/21.15107/rcub_gery_1055 .

TY  - JOUR
AU  - Peulić, Miodrag
AU  - Joković, Miloš
AU  - Sustersić, Tijana
AU  - Peulić, Aleksandar
PY  - 2020
UR  - https://gery.gef.bg.ac.rs/handle/123456789/1052
AB  - The purpose of this study is the application of pressure sensors in diagnostics and evaluation of the accuracy diagnostics of lumbar disc herniation at levels L4/L5 and L5/S1 using the aforementioned platform. The motivation behind the idea to apply the pressure measurement platform is the fact that the motor weakness of plantar and dorsal flexia of the feet is one of the absolute indications for the operative treatment of patients with lumbar disc herniation at the indicated levels. In patients, MRI diagnosis of the lumbosacral spine served as the ground truth in the diagnosis of herniation at L4/L5 and L5/S1 levels. The inclusive criteria for the study were the proven muscle weakness based on manual muscle tests performed prior to surgery, after seven days of surgery and after physical therapy. The results obtained with the manual muscular test were compared with the results obtained using our platform. The study included 33 patients who met the inclusion criteria. The results of the measurements indicate that the application of our platform with pressure sensors has the same sensitivity diagnostics as a manual muscle test, when done preoperatively and postoperatively. After physical therapy, pressure sensors show statistically significantly better sensitivity compared to the clinical manual muscle test. The obtained results are encouraging in the sense that the pressure platform can be an additional diagnostic method for lumbar disc herniation detection and can indicate the effectiveness of operative treatment and physical therapy after operation. The main advantage of the system is the cost; the whole system with platform and sensors is not expensive.
PB  - Hindawi Ltd, London
T2  - Computational and Mathematical Methods In Medicine
T1  - A Noninvasive Assistant System in Diagnosis of Lumbar Disc Herniation
VL  - 2020
DO  - 10.1155/2020/6320126
UR  - https://hdl.handle.net/21.15107/rcub_gery_1052
ER  - 

@article{
author = "Peulić, Miodrag and Joković, Miloš and Sustersić, Tijana and Peulić, Aleksandar",
year = "2020",
abstract = "The purpose of this study is the application of pressure sensors in diagnostics and evaluation of the accuracy diagnostics of lumbar disc herniation at levels L4/L5 and L5/S1 using the aforementioned platform. The motivation behind the idea to apply the pressure measurement platform is the fact that the motor weakness of plantar and dorsal flexia of the feet is one of the absolute indications for the operative treatment of patients with lumbar disc herniation at the indicated levels. In patients, MRI diagnosis of the lumbosacral spine served as the ground truth in the diagnosis of herniation at L4/L5 and L5/S1 levels. The inclusive criteria for the study were the proven muscle weakness based on manual muscle tests performed prior to surgery, after seven days of surgery and after physical therapy. The results obtained with the manual muscular test were compared with the results obtained using our platform. The study included 33 patients who met the inclusion criteria. The results of the measurements indicate that the application of our platform with pressure sensors has the same sensitivity diagnostics as a manual muscle test, when done preoperatively and postoperatively. After physical therapy, pressure sensors show statistically significantly better sensitivity compared to the clinical manual muscle test. The obtained results are encouraging in the sense that the pressure platform can be an additional diagnostic method for lumbar disc herniation detection and can indicate the effectiveness of operative treatment and physical therapy after operation. The main advantage of the system is the cost; the whole system with platform and sensors is not expensive.",
publisher = "Hindawi Ltd, London",
journal = "Computational and Mathematical Methods In Medicine",
title = "A Noninvasive Assistant System in Diagnosis of Lumbar Disc Herniation",
volume = "2020",
doi = "10.1155/2020/6320126",
url = "https://hdl.handle.net/21.15107/rcub_gery_1052"
}

Peulić, M., Joković, M., Sustersić, T.,& Peulić, A.. (2020). A Noninvasive Assistant System in Diagnosis of Lumbar Disc Herniation. in Computational and Mathematical Methods In Medicine
Hindawi Ltd, London., 2020.
https://doi.org/10.1155/2020/6320126
https://hdl.handle.net/21.15107/rcub_gery_1052

Peulić M, Joković M, Sustersić T, Peulić A. A Noninvasive Assistant System in Diagnosis of Lumbar Disc Herniation. in Computational and Mathematical Methods In Medicine. 2020;2020.
doi:10.1155/2020/6320126
https://hdl.handle.net/21.15107/rcub_gery_1052 .

Peulić, Miodrag, Joković, Miloš, Sustersić, Tijana, Peulić, Aleksandar, "A Noninvasive Assistant System in Diagnosis of Lumbar Disc Herniation" in Computational and Mathematical Methods In Medicine, 2020 (2020),
https://doi.org/10.1155/2020/6320126 .,
https://hdl.handle.net/21.15107/rcub_gery_1052 .

TY  - JOUR
AU  - Peulić, Aleksandar
AU  - Sustersić, Tijana
AU  - Peulić, Miodrag
PY  - 2019
UR  - https://gery.gef.bg.ac.rs/handle/123456789/971
AB  - This paper presents the improved technique for classification of the type of lumbar discus hernia based on fuzzy logic. The reduced mobility of the foot is one of the symptoms of the disease that occurs because of the displaced discs in the space of two vertebrae. This fact was used for non-invasive discus hernia diagnosis by measuring force values from four sensors placed on both feet (first, second and fourth metatarsal head as well as the heel). Hardware and software systems were constructed for the doctor to perform the measurements and have a graphical representation during the measuring procedure. The procedure included measuring force values of 18 subjects during normal standing, standing on forefeet and heels. All subjects were diagnosed by a specialist with either L4/L5 or L5/S1 discus hernia. Filtering and further preprocessing of acquired values included separation of forefeet and heel segments that were used as inputs to fuzzy system. The results showed that the accuracy of such a fuzzy system was around 72%, and the proposed system correctly recognizes healthy individuals. Obtained information about forces on characteristic points on the foot represents useful data in diagnosis which further can be processed in order to be a supportive tool to doctors.
PB  - Walter De Gruyter Gmbh, Berlin
T2  - Biomedical Engineering-Biomedizinische Technik
T1  - Non-invasive improved technique for lumbar discus hernia classification based on fuzzy logic
VL  - 64
IS  - 4
SP  - 421
EP  - 428
DO  - 10.1515/bmt-2018-0013
UR  - https://hdl.handle.net/21.15107/rcub_gery_971
ER  - 

@article{
author = "Peulić, Aleksandar and Sustersić, Tijana and Peulić, Miodrag",
year = "2019",
abstract = "This paper presents the improved technique for classification of the type of lumbar discus hernia based on fuzzy logic. The reduced mobility of the foot is one of the symptoms of the disease that occurs because of the displaced discs in the space of two vertebrae. This fact was used for non-invasive discus hernia diagnosis by measuring force values from four sensors placed on both feet (first, second and fourth metatarsal head as well as the heel). Hardware and software systems were constructed for the doctor to perform the measurements and have a graphical representation during the measuring procedure. The procedure included measuring force values of 18 subjects during normal standing, standing on forefeet and heels. All subjects were diagnosed by a specialist with either L4/L5 or L5/S1 discus hernia. Filtering and further preprocessing of acquired values included separation of forefeet and heel segments that were used as inputs to fuzzy system. The results showed that the accuracy of such a fuzzy system was around 72%, and the proposed system correctly recognizes healthy individuals. Obtained information about forces on characteristic points on the foot represents useful data in diagnosis which further can be processed in order to be a supportive tool to doctors.",
publisher = "Walter De Gruyter Gmbh, Berlin",
journal = "Biomedical Engineering-Biomedizinische Technik",
title = "Non-invasive improved technique for lumbar discus hernia classification based on fuzzy logic",
volume = "64",
number = "4",
pages = "421-428",
doi = "10.1515/bmt-2018-0013",
url = "https://hdl.handle.net/21.15107/rcub_gery_971"
}

Peulić, A., Sustersić, T.,& Peulić, M.. (2019). Non-invasive improved technique for lumbar discus hernia classification based on fuzzy logic. in Biomedical Engineering-Biomedizinische Technik
Walter De Gruyter Gmbh, Berlin., 64(4), 421-428.
https://doi.org/10.1515/bmt-2018-0013
https://hdl.handle.net/21.15107/rcub_gery_971

Peulić A, Sustersić T, Peulić M. Non-invasive improved technique for lumbar discus hernia classification based on fuzzy logic. in Biomedical Engineering-Biomedizinische Technik. 2019;64(4):421-428.
doi:10.1515/bmt-2018-0013
https://hdl.handle.net/21.15107/rcub_gery_971 .

Peulić, Aleksandar, Sustersić, Tijana, Peulić, Miodrag, "Non-invasive improved technique for lumbar discus hernia classification based on fuzzy logic" in Biomedical Engineering-Biomedizinische Technik, 64, no. 4 (2019):421-428,
https://doi.org/10.1515/bmt-2018-0013 .,
https://hdl.handle.net/21.15107/rcub_gery_971 .