TY  - JOUR
AU  - Petrović, Miloš
AU  - Vukićević, Arso M.
AU  - Đapan, Marko
AU  - Peulić, Aleksandar
AU  - Jovičić, Miloš
AU  - Mijailović, Nikola
AU  - Milovanović, Petar
AU  - Grajić, Mirko
AU  - Savković, Marija
AU  - Caiazzo, Carlo
AU  - Isailović, Velibor
AU  - Mačužić, Ivan
AU  - Jovanović, Kosta
PY  - 2022
UR  - http://gery.gef.bg.ac.rs/handle/123456789/1217
AB  - Non-ergonomic execution of repetitive physical tasks represents a major cause of work-related musculoskeletal disorders (WMSD). This study was focused on the pushing and pulling (P&P) of an industrial handcart (which is a generic physical task present across many industries), with the aim to investigate the dependence of P&P execution on the operators’ psychological status and the presence of pain syndromes of the upper limbs and spine. The developed acquisition system integrated two three-axis force sensors (placed on the left and right arm) and six electromyography (EMG) electrodes (placed on the chest, back, and hand flexor muscles). The conducted experiment involved two groups of participants (with and without increased psychological scores and pain syndromes). Ten force parameters (for both left and right side), one EMG parameter (for three different muscles, both left and right side), and two time-domain parameters were extracted from the acquired signals. Data analysis showed intergroup differences in the examined parameters, especially in force integral values and EMG mean absolute values. To the best of our knowledge, this is the first study that evaluated the composite effects of pain syndromes, spine mobility, and psychological status of the participants on the execution of P&P tasks—concluding that they have a significant impact on the P&P task execution and potentially on the risk of WMSD. The future work will be directed towards the development of a personalized risk assessment system by considering more muscle groups, supplementary data derived from operators’ poses (extracted with computer vision algorithms), and cognitive parameters (extracted with EEG sensors).
PB  - MDIP, Basel
T2  - Sensors
T1  - Experimental Analysis of Handcart Pushing and Pulling Safety in an Industrial Environment by Using IoT Force and EMG Sensors: Relationship with Operators’ Psychological Status and Pain Syndromes
VL  - 22
IS  - 19
SP  - 7467
DO  - 10.3390/s22197467
ER  - 

@article{
author = "Petrović, Miloš and Vukićević, Arso M. and Đapan, Marko and Peulić, Aleksandar and Jovičić, Miloš and Mijailović, Nikola and Milovanović, Petar and Grajić, Mirko and Savković, Marija and Caiazzo, Carlo and Isailović, Velibor and Mačužić, Ivan and Jovanović, Kosta",
year = "2022",
abstract = "Non-ergonomic execution of repetitive physical tasks represents a major cause of work-related musculoskeletal disorders (WMSD). This study was focused on the pushing and pulling (P&P) of an industrial handcart (which is a generic physical task present across many industries), with the aim to investigate the dependence of P&P execution on the operators’ psychological status and the presence of pain syndromes of the upper limbs and spine. The developed acquisition system integrated two three-axis force sensors (placed on the left and right arm) and six electromyography (EMG) electrodes (placed on the chest, back, and hand flexor muscles). The conducted experiment involved two groups of participants (with and without increased psychological scores and pain syndromes). Ten force parameters (for both left and right side), one EMG parameter (for three different muscles, both left and right side), and two time-domain parameters were extracted from the acquired signals. Data analysis showed intergroup differences in the examined parameters, especially in force integral values and EMG mean absolute values. To the best of our knowledge, this is the first study that evaluated the composite effects of pain syndromes, spine mobility, and psychological status of the participants on the execution of P&P tasks—concluding that they have a significant impact on the P&P task execution and potentially on the risk of WMSD. The future work will be directed towards the development of a personalized risk assessment system by considering more muscle groups, supplementary data derived from operators’ poses (extracted with computer vision algorithms), and cognitive parameters (extracted with EEG sensors).",
publisher = "MDIP, Basel",
journal = "Sensors",
title = "Experimental Analysis of Handcart Pushing and Pulling Safety in an Industrial Environment by Using IoT Force and EMG Sensors: Relationship with Operators’ Psychological Status and Pain Syndromes",
volume = "22",
number = "19",
pages = "7467",
doi = "10.3390/s22197467"
}

Petrović, M., Vukićević, A. M., Đapan, M., Peulić, A., Jovičić, M., Mijailović, N., Milovanović, P., Grajić, M., Savković, M., Caiazzo, C., Isailović, V., Mačužić, I.,& Jovanović, K.. (2022). Experimental Analysis of Handcart Pushing and Pulling Safety in an Industrial Environment by Using IoT Force and EMG Sensors: Relationship with Operators’ Psychological Status and Pain Syndromes. in Sensors
MDIP, Basel., 22(19), 7467.
https://doi.org/10.3390/s22197467

Petrović M, Vukićević AM, Đapan M, Peulić A, Jovičić M, Mijailović N, Milovanović P, Grajić M, Savković M, Caiazzo C, Isailović V, Mačužić I, Jovanović K. Experimental Analysis of Handcart Pushing and Pulling Safety in an Industrial Environment by Using IoT Force and EMG Sensors: Relationship with Operators’ Psychological Status and Pain Syndromes. in Sensors. 2022;22(19):7467.
doi:10.3390/s22197467 .

Petrović, Miloš, Vukićević, Arso M., Đapan, Marko, Peulić, Aleksandar, Jovičić, Miloš, Mijailović, Nikola, Milovanović, Petar, Grajić, Mirko, Savković, Marija, Caiazzo, Carlo, Isailović, Velibor, Mačužić, Ivan, Jovanović, Kosta, "Experimental Analysis of Handcart Pushing and Pulling Safety in an Industrial Environment by Using IoT Force and EMG Sensors: Relationship with Operators’ Psychological Status and Pain Syndromes" in Sensors, 22, no. 19 (2022):7467,
https://doi.org/10.3390/s22197467 . .

TY  - JOUR
AU  - Vukićević, Arso M.
AU  - Mačužić, Ivan
AU  - Mijailović, Nikola
AU  - Peulić, Aleksandar
AU  - Radović, Miloš
PY  - 2021
UR  - http://gery.gef.bg.ac.rs/handle/123456789/1222
AB  - Pushing and pulling (P&P) are common and repetitive tasks in industry, which non-ergonomic execution is among major causes of musculoskeletal disorders (MSD). The current safety management of P&P assumes restrictions of maximal weight, distance, height – while variable individual parameters (such as the P&P pose ergonomic) remain difficult to account for with the standardized guides. Since manual detection of unsafe P&P acts is subjective and inefficient, the aim of this study was to utilize IoT force sensors and IP cameras to detect unsafe P&P acts timely and objectively. Briefly, after the IoT module detects moments with increased P&P forces, the assessment of pose ergonomics was performed from the employee pose reconstructed with the VIBE algorithm. The experiments showed that turn-points correspond to the high torsion of torso, and that in such moments poses are commonly non ergonomic (although P&P forces are below values defined as critical in previous studies – their momentum cause serious load on the human body). Moreover, the analysis revealed that the loading/unloading of a cargo are also moments of frequent unsafe P&P acts – although they are commonly neglected when studying P&P. The experimental validation of the solution showed good agreement with motion sensors and high potential for monitoring and improving P&P workplace safety. Accordingly, future research will be directed towards: 1) acquisition of P&P data sets for direct recognition and classification of unsafe P&P acts; 2) incorporation of wearable sensors (EMG and EEG) for detecting fatigue and decrease of physical abilities.
PB  - Elsevier
T2  - Expert Systems with Applications
T1  - Assessment of the handcart pushing and pulling safety by using deep learning 3D pose estimation and IoT force sensors
VL  - 183
SP  - 115371
DO  - 10.1016/j.eswa.2021.115371
ER  - 

@article{
author = "Vukićević, Arso M. and Mačužić, Ivan and Mijailović, Nikola and Peulić, Aleksandar and Radović, Miloš",
year = "2021",
abstract = "Pushing and pulling (P&P) are common and repetitive tasks in industry, which non-ergonomic execution is among major causes of musculoskeletal disorders (MSD). The current safety management of P&P assumes restrictions of maximal weight, distance, height – while variable individual parameters (such as the P&P pose ergonomic) remain difficult to account for with the standardized guides. Since manual detection of unsafe P&P acts is subjective and inefficient, the aim of this study was to utilize IoT force sensors and IP cameras to detect unsafe P&P acts timely and objectively. Briefly, after the IoT module detects moments with increased P&P forces, the assessment of pose ergonomics was performed from the employee pose reconstructed with the VIBE algorithm. The experiments showed that turn-points correspond to the high torsion of torso, and that in such moments poses are commonly non ergonomic (although P&P forces are below values defined as critical in previous studies – their momentum cause serious load on the human body). Moreover, the analysis revealed that the loading/unloading of a cargo are also moments of frequent unsafe P&P acts – although they are commonly neglected when studying P&P. The experimental validation of the solution showed good agreement with motion sensors and high potential for monitoring and improving P&P workplace safety. Accordingly, future research will be directed towards: 1) acquisition of P&P data sets for direct recognition and classification of unsafe P&P acts; 2) incorporation of wearable sensors (EMG and EEG) for detecting fatigue and decrease of physical abilities.",
publisher = "Elsevier",
journal = "Expert Systems with Applications",
title = "Assessment of the handcart pushing and pulling safety by using deep learning 3D pose estimation and IoT force sensors",
volume = "183",
pages = "115371",
doi = "10.1016/j.eswa.2021.115371"
}

Vukićević, A. M., Mačužić, I., Mijailović, N., Peulić, A.,& Radović, M.. (2021). Assessment of the handcart pushing and pulling safety by using deep learning 3D pose estimation and IoT force sensors. in Expert Systems with Applications
Elsevier., 183, 115371.
https://doi.org/10.1016/j.eswa.2021.115371

Vukićević AM, Mačužić I, Mijailović N, Peulić A, Radović M. Assessment of the handcart pushing and pulling safety by using deep learning 3D pose estimation and IoT force sensors. in Expert Systems with Applications. 2021;183:115371.
doi:10.1016/j.eswa.2021.115371 .

Vukićević, Arso M., Mačužić, Ivan, Mijailović, Nikola, Peulić, Aleksandar, Radović, Miloš, "Assessment of the handcart pushing and pulling safety by using deep learning 3D pose estimation and IoT force sensors" in Expert Systems with Applications, 183 (2021):115371,
https://doi.org/10.1016/j.eswa.2021.115371 . .

TY  - CONF
AU  - Mijailović, Nikola V.
AU  - Radaković, Radivoje
AU  - Peulić, Aleksandar
AU  - Vidanović, Neda
AU  - Dimitrijević, Djordje
AU  - Filipović, Nenad
PY  - 2018
UR  - https://gery.gef.bg.ac.rs/handle/123456789/918
AB  - In this paper the basic information about methodology of assessment human body stiffness during vertical jump analysis is presented. Ten subjects (professional football player) perform ten periodic jumps and vertical ground reaction force is measured using a force plate with one axial load cell force sensor. The stiffness calculation is based on the analogy of the periodic jumping and oscillation movement of the system which consists of spring and body appropriate mass. The frequency of oscillation is obtained using Fourier transform.
PB  - Springer Verlag
C3  - Conference proceedings of the International Symposium: Pervasive Computing Paradigms for Mental Health
C3  - Book series: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering (LNICST)
T1  - Assessment of mechanical stiffness of jumping using force plate
VL  - 207
SP  - 81
EP  - 86
DO  - 10.1007/978-3-319-74935-8_11
UR  - https://hdl.handle.net/21.15107/rcub_gery_918
ER  - 

@conference{
editor = "Oliver, Nuria, Serino, Silvia, Matic, Aleksandar, Cipresso, Pietro, Filipovic, Nenad, Gavrilovska, Liljana",
author = "Mijailović, Nikola V. and Radaković, Radivoje and Peulić, Aleksandar and Vidanović, Neda and Dimitrijević, Djordje and Filipović, Nenad",
year = "2018",
abstract = "In this paper the basic information about methodology of assessment human body stiffness during vertical jump analysis is presented. Ten subjects (professional football player) perform ten periodic jumps and vertical ground reaction force is measured using a force plate with one axial load cell force sensor. The stiffness calculation is based on the analogy of the periodic jumping and oscillation movement of the system which consists of spring and body appropriate mass. The frequency of oscillation is obtained using Fourier transform.",
publisher = "Springer Verlag",
journal = "Conference proceedings of the International Symposium: Pervasive Computing Paradigms for Mental Health, Book series: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering (LNICST)",
title = "Assessment of mechanical stiffness of jumping using force plate",
volume = "207",
pages = "81-86",
doi = "10.1007/978-3-319-74935-8_11",
url = "https://hdl.handle.net/21.15107/rcub_gery_918"
}

Oliver, N., Serino, S., Matic, A., Cipresso, P., Filipovic, N., Gavrilovska, L., Mijailović, N. V., Radaković, R., Peulić, A., Vidanović, N., Dimitrijević, D.,& Filipović, N.. (2018). Assessment of mechanical stiffness of jumping using force plate. in Conference proceedings of the International Symposium: Pervasive Computing Paradigms for Mental Health
Springer Verlag., 207, 81-86.
https://doi.org/10.1007/978-3-319-74935-8_11
https://hdl.handle.net/21.15107/rcub_gery_918

Oliver N, Serino S, Matic A, Cipresso P, Filipovic N, Gavrilovska L, Mijailović NV, Radaković R, Peulić A, Vidanović N, Dimitrijević D, Filipović N. Assessment of mechanical stiffness of jumping using force plate. in Conference proceedings of the International Symposium: Pervasive Computing Paradigms for Mental Health. 2018;207:81-86.
doi:10.1007/978-3-319-74935-8_11
https://hdl.handle.net/21.15107/rcub_gery_918 .

Oliver, Nuria, Serino, Silvia, Matic, Aleksandar, Cipresso, Pietro, Filipovic, Nenad, Gavrilovska, Liljana, Mijailović, Nikola V., Radaković, Radivoje, Peulić, Aleksandar, Vidanović, Neda, Dimitrijević, Djordje, Filipović, Nenad, "Assessment of mechanical stiffness of jumping using force plate" in Conference proceedings of the International Symposium: Pervasive Computing Paradigms for Mental Health, 207 (2018):81-86,
https://doi.org/10.1007/978-3-319-74935-8_11 .,
https://hdl.handle.net/21.15107/rcub_gery_918 .

TY  - JOUR
AU  - Milanković, Ivan L.
AU  - Mijailović, Nikola V.
AU  - Filipović, Nenad
AU  - Peulić, Aleksandar
PY  - 2017
UR  - https://gery.gef.bg.ac.rs/handle/123456789/833
AB  - Image segmentation is one of the most common procedures in medical imaging applications. It is also a very important task in breast cancer detection. Breast cancer detection procedure based on mammography can be divided into several stages. The first stage is the extraction of the region of interest from a breast image, followed by the identification of suspicious mass regions, their classification, and comparison with the existing image database. It is often the case that already existing image databases have large sets of data whose processing requires a lot of time, and thus the acceleration of each of the processing stages in breast cancer detection is a very important issue. In this paper, the implementation of the already existing algorithm for region-of-interest based image segmentation for mammogram images on High-Performance Reconfigurable Dataflow Computers (HPRDCs) is proposed. As a dataflow engine (DFE) of such HPRDC, Maxeler's acceleration card is used. The experiments for examining the acceleration of that algorithm on the Reconfigurable Dataflow Computers (RDCs) are performed with two types of mammogram images with different resolutions. There were, also, several DFE configurations and each of them gave a different acceleration value of algorithm execution. Those acceleration values are presented and experimental results showed good acceleration.
PB  - Hindawi Ltd, London
T2  - Computational and Mathematical Methods In Medicine
T1  - Acceleration of Image Segmentation Algorithm for (Breast) Mammogram Images Using High-Performance Reconfigurable Dataflow Computers
DO  - 10.1155/2017/7909282
UR  - https://hdl.handle.net/21.15107/rcub_gery_833
ER  - 

@article{
author = "Milanković, Ivan L. and Mijailović, Nikola V. and Filipović, Nenad and Peulić, Aleksandar",
year = "2017",
abstract = "Image segmentation is one of the most common procedures in medical imaging applications. It is also a very important task in breast cancer detection. Breast cancer detection procedure based on mammography can be divided into several stages. The first stage is the extraction of the region of interest from a breast image, followed by the identification of suspicious mass regions, their classification, and comparison with the existing image database. It is often the case that already existing image databases have large sets of data whose processing requires a lot of time, and thus the acceleration of each of the processing stages in breast cancer detection is a very important issue. In this paper, the implementation of the already existing algorithm for region-of-interest based image segmentation for mammogram images on High-Performance Reconfigurable Dataflow Computers (HPRDCs) is proposed. As a dataflow engine (DFE) of such HPRDC, Maxeler's acceleration card is used. The experiments for examining the acceleration of that algorithm on the Reconfigurable Dataflow Computers (RDCs) are performed with two types of mammogram images with different resolutions. There were, also, several DFE configurations and each of them gave a different acceleration value of algorithm execution. Those acceleration values are presented and experimental results showed good acceleration.",
publisher = "Hindawi Ltd, London",
journal = "Computational and Mathematical Methods In Medicine",
title = "Acceleration of Image Segmentation Algorithm for (Breast) Mammogram Images Using High-Performance Reconfigurable Dataflow Computers",
doi = "10.1155/2017/7909282",
url = "https://hdl.handle.net/21.15107/rcub_gery_833"
}

Milanković, I. L., Mijailović, N. V., Filipović, N.,& Peulić, A.. (2017). Acceleration of Image Segmentation Algorithm for (Breast) Mammogram Images Using High-Performance Reconfigurable Dataflow Computers. in Computational and Mathematical Methods In Medicine
Hindawi Ltd, London..
https://doi.org/10.1155/2017/7909282
https://hdl.handle.net/21.15107/rcub_gery_833

Milanković IL, Mijailović NV, Filipović N, Peulić A. Acceleration of Image Segmentation Algorithm for (Breast) Mammogram Images Using High-Performance Reconfigurable Dataflow Computers. in Computational and Mathematical Methods In Medicine. 2017;.
doi:10.1155/2017/7909282
https://hdl.handle.net/21.15107/rcub_gery_833 .

Milanković, Ivan L., Mijailović, Nikola V., Filipović, Nenad, Peulić, Aleksandar, "Acceleration of Image Segmentation Algorithm for (Breast) Mammogram Images Using High-Performance Reconfigurable Dataflow Computers" in Computational and Mathematical Methods In Medicine (2017),
https://doi.org/10.1155/2017/7909282 .,
https://hdl.handle.net/21.15107/rcub_gery_833 .

TY  - CONF
AU  - Peulić, Aleksandar
AU  - Milanković, Ivan L.
AU  - Mijailović, Nikola V.
AU  - Jovanović, Željko
PY  - 2016
UR  - https://gery.gef.bg.ac.rs/handle/123456789/771
AB  - The purpose of this study was to determine range of motion values of lumbar spine in rehabilitation procedure after surgery, using wearable wireless sensors. In this paper, we present a method for determining the mobility of the spinal column using a network of sensors. The sensors consist of accelerometers and gyroscopes, and mutual communication is accomplished using a I2C bus. The main sensor node collects data from all the sensors and sends them to a computer using Bluetooth communication. The collected data is then filtered and converted to the values of the angles that are of interest to quantify the movement.
PB  - IEEE, New York
C3  - Proceedings of 13th International Conference on Remote Engineering and Virtual Instrumentation
T1  - Remotely Analyze Spine Angle in Rehabilitation After Spine Surgery using Acceleration and Gyro Sensors
SP  - 281
EP  - 282
UR  - https://hdl.handle.net/21.15107/rcub_gery_771
ER  - 

@conference{
author = "Peulić, Aleksandar and Milanković, Ivan L. and Mijailović, Nikola V. and Jovanović, Željko",
year = "2016",
abstract = "The purpose of this study was to determine range of motion values of lumbar spine in rehabilitation procedure after surgery, using wearable wireless sensors. In this paper, we present a method for determining the mobility of the spinal column using a network of sensors. The sensors consist of accelerometers and gyroscopes, and mutual communication is accomplished using a I2C bus. The main sensor node collects data from all the sensors and sends them to a computer using Bluetooth communication. The collected data is then filtered and converted to the values of the angles that are of interest to quantify the movement.",
publisher = "IEEE, New York",
journal = "Proceedings of 13th International Conference on Remote Engineering and Virtual Instrumentation",
title = "Remotely Analyze Spine Angle in Rehabilitation After Spine Surgery using Acceleration and Gyro Sensors",
pages = "281-282",
url = "https://hdl.handle.net/21.15107/rcub_gery_771"
}

Peulić, A., Milanković, I. L., Mijailović, N. V.,& Jovanović, Ž.. (2016). Remotely Analyze Spine Angle in Rehabilitation After Spine Surgery using Acceleration and Gyro Sensors. in Proceedings of 13th International Conference on Remote Engineering and Virtual Instrumentation
IEEE, New York., 281-282.
https://hdl.handle.net/21.15107/rcub_gery_771

Peulić A, Milanković IL, Mijailović NV, Jovanović Ž. Remotely Analyze Spine Angle in Rehabilitation After Spine Surgery using Acceleration and Gyro Sensors. in Proceedings of 13th International Conference on Remote Engineering and Virtual Instrumentation. 2016;:281-282.
https://hdl.handle.net/21.15107/rcub_gery_771 .

Peulić, Aleksandar, Milanković, Ivan L., Mijailović, Nikola V., Jovanović, Željko, "Remotely Analyze Spine Angle in Rehabilitation After Spine Surgery using Acceleration and Gyro Sensors" in Proceedings of 13th International Conference on Remote Engineering and Virtual Instrumentation (2016):281-282,
https://hdl.handle.net/21.15107/rcub_gery_771 .

TY  - JOUR
AU  - Milanković, Ivan L.
AU  - Mijailović, Nikola V.
AU  - Peulić, Aleksandar
AU  - Nikolić, Dalibor
AU  - Končar, Igor
AU  - Exarchos, Themis
AU  - Parodi, Oberdan
AU  - Filipović, Nenad
PY  - 2015
UR  - https://gery.gef.bg.ac.rs/handle/123456789/714
AB  - The main goal of this paper is to describe two different systems that were developed for the purpose of abdominal aortic aneurysm mechanical properties investigation and to present the results of the measurements. The first system is based on the "Bubble Inflated" method and it increases the pressure of physiological saline which affects blood vessel tissue and causes mechanical deformation. The system provides recording the data about the current value of the pressure in the physiological saline by using the appropriate pressure sensor. The second system makes stretches of the vessel tissue in uni-axial direction and save the data about the force and the elongation. Both of these systems use cameras for assessment of the deformation. Obtained results from both systems are used for numerical simulation of computer model for abdominal aortic aneurysm. It gives a new avenue for application of software and hardware systems for determination of vascular tissue properties in the clinical practice.
PB  - Beograd : Univerzitet u Beogradu - Mašinski fakultet
T2  - FME Transactions
T1  - Software and Hardware Systems for Abdominal Aortic Aneurysm Mechanical Properties Investigation
VL  - 43
IS  - 2
SP  - 161
EP  - 167
DO  - 10.5937/fmet1502161M
UR  - https://hdl.handle.net/21.15107/rcub_gery_714
ER  - 

@article{
author = "Milanković, Ivan L. and Mijailović, Nikola V. and Peulić, Aleksandar and Nikolić, Dalibor and Končar, Igor and Exarchos, Themis and Parodi, Oberdan and Filipović, Nenad",
year = "2015",
abstract = "The main goal of this paper is to describe two different systems that were developed for the purpose of abdominal aortic aneurysm mechanical properties investigation and to present the results of the measurements. The first system is based on the "Bubble Inflated" method and it increases the pressure of physiological saline which affects blood vessel tissue and causes mechanical deformation. The system provides recording the data about the current value of the pressure in the physiological saline by using the appropriate pressure sensor. The second system makes stretches of the vessel tissue in uni-axial direction and save the data about the force and the elongation. Both of these systems use cameras for assessment of the deformation. Obtained results from both systems are used for numerical simulation of computer model for abdominal aortic aneurysm. It gives a new avenue for application of software and hardware systems for determination of vascular tissue properties in the clinical practice.",
publisher = "Beograd : Univerzitet u Beogradu - Mašinski fakultet",
journal = "FME Transactions",
title = "Software and Hardware Systems for Abdominal Aortic Aneurysm Mechanical Properties Investigation",
volume = "43",
number = "2",
pages = "161-167",
doi = "10.5937/fmet1502161M",
url = "https://hdl.handle.net/21.15107/rcub_gery_714"
}

Milanković, I. L., Mijailović, N. V., Peulić, A., Nikolić, D., Končar, I., Exarchos, T., Parodi, O.,& Filipović, N.. (2015). Software and Hardware Systems for Abdominal Aortic Aneurysm Mechanical Properties Investigation. in FME Transactions
Beograd : Univerzitet u Beogradu - Mašinski fakultet., 43(2), 161-167.
https://doi.org/10.5937/fmet1502161M
https://hdl.handle.net/21.15107/rcub_gery_714

Milanković IL, Mijailović NV, Peulić A, Nikolić D, Končar I, Exarchos T, Parodi O, Filipović N. Software and Hardware Systems for Abdominal Aortic Aneurysm Mechanical Properties Investigation. in FME Transactions. 2015;43(2):161-167.
doi:10.5937/fmet1502161M
https://hdl.handle.net/21.15107/rcub_gery_714 .

Milanković, Ivan L., Mijailović, Nikola V., Peulić, Aleksandar, Nikolić, Dalibor, Končar, Igor, Exarchos, Themis, Parodi, Oberdan, Filipović, Nenad, "Software and Hardware Systems for Abdominal Aortic Aneurysm Mechanical Properties Investigation" in FME Transactions, 43, no. 2 (2015):161-167,
https://doi.org/10.5937/fmet1502161M .,
https://hdl.handle.net/21.15107/rcub_gery_714 .

TY  - CONF
AU  - Mijailović, Nikola V.
AU  - Radaković, Radivoje
AU  - Peulić, Aleksandar
AU  - Milanković, Ivan L.
AU  - Filipović, Nenad
PY  - 2015
UR  - https://gery.gef.bg.ac.rs/handle/123456789/733
PB  - Institute of Electrical and Electronics Engineers Inc.
C3  - 2015 IEEE 15th International Conference on Bioinformatics and Bioengineering, BIBE 2015
T1  - Using force plate, computer simulation and image alignment in jumping analysis
DO  - 10.1109/BIBE.2015.7367672
UR  - https://hdl.handle.net/21.15107/rcub_gery_733
ER  - 

@conference{
author = "Mijailović, Nikola V. and Radaković, Radivoje and Peulić, Aleksandar and Milanković, Ivan L. and Filipović, Nenad",
year = "2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
journal = "2015 IEEE 15th International Conference on Bioinformatics and Bioengineering, BIBE 2015",
title = "Using force plate, computer simulation and image alignment in jumping analysis",
doi = "10.1109/BIBE.2015.7367672",
url = "https://hdl.handle.net/21.15107/rcub_gery_733"
}

Mijailović, N. V., Radaković, R., Peulić, A., Milanković, I. L.,& Filipović, N.. (2015). Using force plate, computer simulation and image alignment in jumping analysis. in 2015 IEEE 15th International Conference on Bioinformatics and Bioengineering, BIBE 2015
Institute of Electrical and Electronics Engineers Inc...
https://doi.org/10.1109/BIBE.2015.7367672
https://hdl.handle.net/21.15107/rcub_gery_733

Mijailović NV, Radaković R, Peulić A, Milanković IL, Filipović N. Using force plate, computer simulation and image alignment in jumping analysis. in 2015 IEEE 15th International Conference on Bioinformatics and Bioengineering, BIBE 2015. 2015;.
doi:10.1109/BIBE.2015.7367672
https://hdl.handle.net/21.15107/rcub_gery_733 .

Mijailović, Nikola V., Radaković, Radivoje, Peulić, Aleksandar, Milanković, Ivan L., Filipović, Nenad, "Using force plate, computer simulation and image alignment in jumping analysis" in 2015 IEEE 15th International Conference on Bioinformatics and Bioengineering, BIBE 2015 (2015),
https://doi.org/10.1109/BIBE.2015.7367672 .,
https://hdl.handle.net/21.15107/rcub_gery_733 .

TY  - JOUR
AU  - Mijailović, Nikola V.
AU  - Vulović, Radun
AU  - Milanković, Ivan L.
AU  - Radaković, Radivoje
AU  - Filipović, Nenad
AU  - Peulić, Aleksandar
PY  - 2015
UR  - https://gery.gef.bg.ac.rs/handle/123456789/712
AB  - Knowledge about the knee cartilage deformation ratio as well as the knee cartilage stress distribution is of particular importance in clinical studies due to the fact that these represent some of the basic indicators of cartilage state and that they also provide information about joint cartilage wear so medical doctors can predict when it is necessary to perform surgery on a patient. In this research, we apply various kinds of sensors such as a system of infrared cameras and reflective markers, three-axis accelerometer, and force plate. The fluorescent marker and accelerometers are placed on the patient's hip, knee, and ankle, respectively. During a normal walk we are recording the space position of markers, acceleration, and ground reaction force by force plate. Measured data are included in the biomechanical model of the knee joint. Geometry for this model is defined from CT images. This model includes the impact of ground reaction forces, contact force between femur and tibia, patient body weight, ligaments, and muscle forces. The boundary conditions are created for the finite element method in order to noninvasively determine the cartilage stress distribution.
PB  - Hindawi Publishing Corp, New York
T2  - Computational and Mathematical Methods In Medicine
T1  - Assessment of Knee Cartilage Stress Distribution and Deformation Using Motion Capture System and Wearable Sensors for Force Ratio Detection
DO  - 10.1155/2015/963746
UR  - https://hdl.handle.net/21.15107/rcub_gery_712
ER  - 

@article{
author = "Mijailović, Nikola V. and Vulović, Radun and Milanković, Ivan L. and Radaković, Radivoje and Filipović, Nenad and Peulić, Aleksandar",
year = "2015",
abstract = "Knowledge about the knee cartilage deformation ratio as well as the knee cartilage stress distribution is of particular importance in clinical studies due to the fact that these represent some of the basic indicators of cartilage state and that they also provide information about joint cartilage wear so medical doctors can predict when it is necessary to perform surgery on a patient. In this research, we apply various kinds of sensors such as a system of infrared cameras and reflective markers, three-axis accelerometer, and force plate. The fluorescent marker and accelerometers are placed on the patient's hip, knee, and ankle, respectively. During a normal walk we are recording the space position of markers, acceleration, and ground reaction force by force plate. Measured data are included in the biomechanical model of the knee joint. Geometry for this model is defined from CT images. This model includes the impact of ground reaction forces, contact force between femur and tibia, patient body weight, ligaments, and muscle forces. The boundary conditions are created for the finite element method in order to noninvasively determine the cartilage stress distribution.",
publisher = "Hindawi Publishing Corp, New York",
journal = "Computational and Mathematical Methods In Medicine",
title = "Assessment of Knee Cartilage Stress Distribution and Deformation Using Motion Capture System and Wearable Sensors for Force Ratio Detection",
doi = "10.1155/2015/963746",
url = "https://hdl.handle.net/21.15107/rcub_gery_712"
}

Mijailović, N. V., Vulović, R., Milanković, I. L., Radaković, R., Filipović, N.,& Peulić, A.. (2015). Assessment of Knee Cartilage Stress Distribution and Deformation Using Motion Capture System and Wearable Sensors for Force Ratio Detection. in Computational and Mathematical Methods In Medicine
Hindawi Publishing Corp, New York..
https://doi.org/10.1155/2015/963746
https://hdl.handle.net/21.15107/rcub_gery_712

Mijailović NV, Vulović R, Milanković IL, Radaković R, Filipović N, Peulić A. Assessment of Knee Cartilage Stress Distribution and Deformation Using Motion Capture System and Wearable Sensors for Force Ratio Detection. in Computational and Mathematical Methods In Medicine. 2015;.
doi:10.1155/2015/963746
https://hdl.handle.net/21.15107/rcub_gery_712 .

Mijailović, Nikola V., Vulović, Radun, Milanković, Ivan L., Radaković, Radivoje, Filipović, Nenad, Peulić, Aleksandar, "Assessment of Knee Cartilage Stress Distribution and Deformation Using Motion Capture System and Wearable Sensors for Force Ratio Detection" in Computational and Mathematical Methods In Medicine (2015),
https://doi.org/10.1155/2015/963746 .,
https://hdl.handle.net/21.15107/rcub_gery_712 .

TY  - JOUR
AU  - Cvetković, Aleksandar M.
AU  - Milašinović, Danko Z.
AU  - Peulić, Aleksandar
AU  - Mijailović, Nikola V.
AU  - Filipović, Nenad
AU  - Zdravković, Nebojša
PY  - 2014
UR  - https://gery.gef.bg.ac.rs/handle/123456789/618
AB  - The main goal of this study was to numerically quantify risk of duodenal stump blowout after Billroth II (BII) gastric resection. Our hypothesis was that the geometry of the reconstructed tract after BII resection is one of the key factors that can lead to duodenal dehiscence. We used computational fluid dynamics (CFD) with finite element (FE) simulations of various models of BII reconstructed gastrointestinal (GI) tract, as well as non-perfused, ex vivo, porcine experimental models. As main geometrical parameters for FE postoperative models we have used duodenal stump length and inclination between gastric remnant and duodenal stump. Virtual gastric resection was performed on each of 3D FE models based on multislice Computer Tomography (CT) DICOM. According to our computer simulation the difference between maximal duodenal stump pressures for models with most and least preferable geometry of reconstructed GI tract is about 30%. We compared the resulting postoperative duodenal pressure from computer simulations with duodenal stump dehiscence pressure from the experiment. Pressure at duodenal stump after BII resection obtained by computer simulation is 4-5 times lower than the dehiscence pressure according to our experiment on isolated bowel segment. Our conclusion is that if the surgery is performed technically correct, geometry variations of the reconstructed GI tract by themselves are not sufficient to cause duodenal stump blowout. Pressure that develops in the duodenal stump after BII resection using omega loop, only in the conjunction with other risk factors can cause duodenal dehiscence. Increased duodenal pressure after BII resection is risk factor. Hence we recommend the routine use of Roux en Y anastomosis as a safer solution in terms of resulting intraluminal pressure. However, if the surgeon decides to perform BII reconstruction, results obtained with this methodology can be valuable. (C) 2014 Elsevier Ireland Ltd. All rights reserved.
PB  - Elsevier Ireland Ltd, Clare
T2  - Computer Methods and Programs in Biomedicine
T1  - Numerical and experimental analysis of factors leading to suture dehiscence after Billroth II gastric resection
VL  - 117
IS  - 2
SP  - 71
EP  - 79
DO  - 10.1016/j.cmpb.2014.08.005
UR  - https://hdl.handle.net/21.15107/rcub_gery_618
ER  - 

@article{
author = "Cvetković, Aleksandar M. and Milašinović, Danko Z. and Peulić, Aleksandar and Mijailović, Nikola V. and Filipović, Nenad and Zdravković, Nebojša",
year = "2014",
abstract = "The main goal of this study was to numerically quantify risk of duodenal stump blowout after Billroth II (BII) gastric resection. Our hypothesis was that the geometry of the reconstructed tract after BII resection is one of the key factors that can lead to duodenal dehiscence. We used computational fluid dynamics (CFD) with finite element (FE) simulations of various models of BII reconstructed gastrointestinal (GI) tract, as well as non-perfused, ex vivo, porcine experimental models. As main geometrical parameters for FE postoperative models we have used duodenal stump length and inclination between gastric remnant and duodenal stump. Virtual gastric resection was performed on each of 3D FE models based on multislice Computer Tomography (CT) DICOM. According to our computer simulation the difference between maximal duodenal stump pressures for models with most and least preferable geometry of reconstructed GI tract is about 30%. We compared the resulting postoperative duodenal pressure from computer simulations with duodenal stump dehiscence pressure from the experiment. Pressure at duodenal stump after BII resection obtained by computer simulation is 4-5 times lower than the dehiscence pressure according to our experiment on isolated bowel segment. Our conclusion is that if the surgery is performed technically correct, geometry variations of the reconstructed GI tract by themselves are not sufficient to cause duodenal stump blowout. Pressure that develops in the duodenal stump after BII resection using omega loop, only in the conjunction with other risk factors can cause duodenal dehiscence. Increased duodenal pressure after BII resection is risk factor. Hence we recommend the routine use of Roux en Y anastomosis as a safer solution in terms of resulting intraluminal pressure. However, if the surgeon decides to perform BII reconstruction, results obtained with this methodology can be valuable. (C) 2014 Elsevier Ireland Ltd. All rights reserved.",
publisher = "Elsevier Ireland Ltd, Clare",
journal = "Computer Methods and Programs in Biomedicine",
title = "Numerical and experimental analysis of factors leading to suture dehiscence after Billroth II gastric resection",
volume = "117",
number = "2",
pages = "71-79",
doi = "10.1016/j.cmpb.2014.08.005",
url = "https://hdl.handle.net/21.15107/rcub_gery_618"
}

Cvetković, A. M., Milašinović, D. Z., Peulić, A., Mijailović, N. V., Filipović, N.,& Zdravković, N.. (2014). Numerical and experimental analysis of factors leading to suture dehiscence after Billroth II gastric resection. in Computer Methods and Programs in Biomedicine
Elsevier Ireland Ltd, Clare., 117(2), 71-79.
https://doi.org/10.1016/j.cmpb.2014.08.005
https://hdl.handle.net/21.15107/rcub_gery_618

Cvetković AM, Milašinović DZ, Peulić A, Mijailović NV, Filipović N, Zdravković N. Numerical and experimental analysis of factors leading to suture dehiscence after Billroth II gastric resection. in Computer Methods and Programs in Biomedicine. 2014;117(2):71-79.
doi:10.1016/j.cmpb.2014.08.005
https://hdl.handle.net/21.15107/rcub_gery_618 .

Cvetković, Aleksandar M., Milašinović, Danko Z., Peulić, Aleksandar, Mijailović, Nikola V., Filipović, Nenad, Zdravković, Nebojša, "Numerical and experimental analysis of factors leading to suture dehiscence after Billroth II gastric resection" in Computer Methods and Programs in Biomedicine, 117, no. 2 (2014):71-79,
https://doi.org/10.1016/j.cmpb.2014.08.005 .,
https://hdl.handle.net/21.15107/rcub_gery_618 .

TY  - JOUR
AU  - Filipović, Nenad
AU  - Isailović, Velibor
AU  - Nikolić, Dalibor
AU  - Peulić, Aleksandar
AU  - Mijailović, Nikola V.
AU  - Petrović, Suzana
AU  - Cuković, Saša
AU  - Vulović, Radun
AU  - Matić, Aleksandar
AU  - Zdravković, Nebojša
AU  - Devedžić, Goran
AU  - Ristić, Branko
PY  - 2013
UR  - https://gery.gef.bg.ac.rs/handle/123456789/558
AB  - In this study we modeled a patient specific 3D knee after anterior cruicate ligament (ACL) reconstruction. The purpose of the ACL reconstruction is to achieve stability in the entire range of motion of the knee and the establishment of the normal gait pattern. We present a new reconstruction technique that generates patient-specific 3D knee models from patient's magnetic resonant images (MRIs). The motion of the ACL reconstruction patients is measured by OptiTrack system with six infrared cameras. Finite element model of bones, cartilage and meniscus is used for determination stress and strain distribution at different body postures during gait analysis. It was observed that the maximum effective von Mises stress distribution up to 8 MPa occurred during 30% of the gait cycle on the meniscus. The biomechanical model of the knee joint during gait analysis can provide insight into the underlying mechanisms of knee function after ACL reconstruction.
PB  - ComSIS Consortium
T2  - Computer Science and Information Systems
T1  - Biomechanical Modeling of Knee for Specific Patients with Chronic Anterior Cruciate Ligament Injury
VL  - 10
IS  - 1
SP  - 525
EP  - 545
DO  - 10.2298/CSIS120531014F
UR  - https://hdl.handle.net/21.15107/rcub_gery_558
ER  - 

@article{
author = "Filipović, Nenad and Isailović, Velibor and Nikolić, Dalibor and Peulić, Aleksandar and Mijailović, Nikola V. and Petrović, Suzana and Cuković, Saša and Vulović, Radun and Matić, Aleksandar and Zdravković, Nebojša and Devedžić, Goran and Ristić, Branko",
year = "2013",
abstract = "In this study we modeled a patient specific 3D knee after anterior cruicate ligament (ACL) reconstruction. The purpose of the ACL reconstruction is to achieve stability in the entire range of motion of the knee and the establishment of the normal gait pattern. We present a new reconstruction technique that generates patient-specific 3D knee models from patient's magnetic resonant images (MRIs). The motion of the ACL reconstruction patients is measured by OptiTrack system with six infrared cameras. Finite element model of bones, cartilage and meniscus is used for determination stress and strain distribution at different body postures during gait analysis. It was observed that the maximum effective von Mises stress distribution up to 8 MPa occurred during 30% of the gait cycle on the meniscus. The biomechanical model of the knee joint during gait analysis can provide insight into the underlying mechanisms of knee function after ACL reconstruction.",
publisher = "ComSIS Consortium",
journal = "Computer Science and Information Systems",
title = "Biomechanical Modeling of Knee for Specific Patients with Chronic Anterior Cruciate Ligament Injury",
volume = "10",
number = "1",
pages = "525-545",
doi = "10.2298/CSIS120531014F",
url = "https://hdl.handle.net/21.15107/rcub_gery_558"
}

Filipović, N., Isailović, V., Nikolić, D., Peulić, A., Mijailović, N. V., Petrović, S., Cuković, S., Vulović, R., Matić, A., Zdravković, N., Devedžić, G.,& Ristić, B.. (2013). Biomechanical Modeling of Knee for Specific Patients with Chronic Anterior Cruciate Ligament Injury. in Computer Science and Information Systems
ComSIS Consortium., 10(1), 525-545.
https://doi.org/10.2298/CSIS120531014F
https://hdl.handle.net/21.15107/rcub_gery_558

Filipović N, Isailović V, Nikolić D, Peulić A, Mijailović NV, Petrović S, Cuković S, Vulović R, Matić A, Zdravković N, Devedžić G, Ristić B. Biomechanical Modeling of Knee for Specific Patients with Chronic Anterior Cruciate Ligament Injury. in Computer Science and Information Systems. 2013;10(1):525-545.
doi:10.2298/CSIS120531014F
https://hdl.handle.net/21.15107/rcub_gery_558 .

Filipović, Nenad, Isailović, Velibor, Nikolić, Dalibor, Peulić, Aleksandar, Mijailović, Nikola V., Petrović, Suzana, Cuković, Saša, Vulović, Radun, Matić, Aleksandar, Zdravković, Nebojša, Devedžić, Goran, Ristić, Branko, "Biomechanical Modeling of Knee for Specific Patients with Chronic Anterior Cruciate Ligament Injury" in Computer Science and Information Systems, 10, no. 1 (2013):525-545,
https://doi.org/10.2298/CSIS120531014F .,
https://hdl.handle.net/21.15107/rcub_gery_558 .