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  - 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 .