Topalović, Ivan

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orcid::0000-0002-1535-7243
  • Topalović, Ivan (9)
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Author's Bibliography

EMG map image processing for recognition of fingers movement

Topalović, Ivan; Graovac, Stevica; Popović, Dejan B.

(Elsevier, 2019)

TY  - JOUR
AU  - Topalović, Ivan
AU  - Graovac, Stevica
AU  - Popović, Dejan B.
PY  - 2019
UR  - http://www.sciencedirect.com/science/article/pii/S1050641119302160
UR  - http://dais.sanu.ac.rs/123456789/6905
AB  - Electromyography (EMG) is the conventional noninvasive method for the estimation of muscle activities. We developed a new image processing method for the recognition of individual finger movements based on EMG maps. The maps were formed from the EMG recordings via an array electrode with 24 contacts connected to a multichannel wireless miniature digital amplifier. The task was to detect and quantify the high activity regions in the EMG maps in persons with no known motor impairment. The results show the temporal and spatial patterns within the images during well-defined finger movements. The average accuracy of the automatic recognition compared with the recognition by an expert clinician in persons involved in the tests was 97.87 ± 0.92%. The application of the technique is foreseen for control for an assistive system (hand prosthesis and exoskeleton) since the interface is wearable and the processing can be implemented on a microcomputer.
PB  - Elsevier
T2  - Journal of Electromyography and Kinesiology
T1  - EMG map image processing for recognition of fingers movement
SP  - 102364
VL  - 49
DO  - 10.1016/j.jelekin.2019.102364
ER  - 
@article{
author = "Topalović, Ivan and Graovac, Stevica and Popović, Dejan B.",
year = "2019",
url = "http://www.sciencedirect.com/science/article/pii/S1050641119302160, http://dais.sanu.ac.rs/123456789/6905",
abstract = "Electromyography (EMG) is the conventional noninvasive method for the estimation of muscle activities. We developed a new image processing method for the recognition of individual finger movements based on EMG maps. The maps were formed from the EMG recordings via an array electrode with 24 contacts connected to a multichannel wireless miniature digital amplifier. The task was to detect and quantify the high activity regions in the EMG maps in persons with no known motor impairment. The results show the temporal and spatial patterns within the images during well-defined finger movements. The average accuracy of the automatic recognition compared with the recognition by an expert clinician in persons involved in the tests was 97.87 ± 0.92%. The application of the technique is foreseen for control for an assistive system (hand prosthesis and exoskeleton) since the interface is wearable and the processing can be implemented on a microcomputer.",
publisher = "Elsevier",
journal = "Journal of Electromyography and Kinesiology",
title = "EMG map image processing for recognition of fingers movement",
pages = "102364",
volume = "49",
doi = "10.1016/j.jelekin.2019.102364"
}
Topalović, I., Graovac, S.,& Popović, D. B. (2019). EMG map image processing for recognition of fingers movement.
Journal of Electromyography and Kinesiology
Elsevier., 49, 102364.
https://doi.org/10.1016/j.jelekin.2019.102364
Topalović I, Graovac S, Popović DB. EMG map image processing for recognition of fingers movement. Journal of Electromyography and Kinesiology. 2019;49:102364
Topalović Ivan, Graovac Stevica, Popović Dejan B., "EMG map image processing for recognition of fingers movement" Journal of Electromyography and Kinesiology, 49 (2019):102364,
https://doi.org/10.1016/j.jelekin.2019.102364 .
2
2
2

EMG map image processing for recognition of fingers movement

Topalović, Ivan; Graovac, Stevica; Popović, Dejan B.

(Elsevier, 2019)

TY  - JOUR
AU  - Topalović, Ivan
AU  - Graovac, Stevica
AU  - Popović, Dejan B.
PY  - 2019
UR  - http://www.sciencedirect.com/science/article/pii/S1050641119302160
UR  - http://dais.sanu.ac.rs/123456789/6904
AB  - Electromyography (EMG) is the conventional noninvasive method for the estimation of muscle activities. We developed a new image processing method for the recognition of individual finger movements based on EMG maps. The maps were formed from the EMG recordings via an array electrode with 24 contacts connected to a multichannel wireless miniature digital amplifier. The task was to detect and quantify the high activity regions in the EMG maps in persons with no known motor impairment. The results show the temporal and spatial patterns within the images during well-defined finger movements. The average accuracy of the automatic recognition compared with the recognition by an expert clinician in persons involved in the tests was 97.87 ± 0.92%. The application of the technique is foreseen for control for an assistive system (hand prosthesis and exoskeleton) since the interface is wearable and the processing can be implemented on a microcomputer.
PB  - Elsevier
T2  - Journal of Electromyography and Kinesiology
T1  - EMG map image processing for recognition of fingers movement
SP  - 102364
VL  - 49
DO  - 10.1016/j.jelekin.2019.102364
ER  - 
@article{
author = "Topalović, Ivan and Graovac, Stevica and Popović, Dejan B.",
year = "2019",
url = "http://www.sciencedirect.com/science/article/pii/S1050641119302160, http://dais.sanu.ac.rs/123456789/6904",
abstract = "Electromyography (EMG) is the conventional noninvasive method for the estimation of muscle activities. We developed a new image processing method for the recognition of individual finger movements based on EMG maps. The maps were formed from the EMG recordings via an array electrode with 24 contacts connected to a multichannel wireless miniature digital amplifier. The task was to detect and quantify the high activity regions in the EMG maps in persons with no known motor impairment. The results show the temporal and spatial patterns within the images during well-defined finger movements. The average accuracy of the automatic recognition compared with the recognition by an expert clinician in persons involved in the tests was 97.87 ± 0.92%. The application of the technique is foreseen for control for an assistive system (hand prosthesis and exoskeleton) since the interface is wearable and the processing can be implemented on a microcomputer.",
publisher = "Elsevier",
journal = "Journal of Electromyography and Kinesiology",
title = "EMG map image processing for recognition of fingers movement",
pages = "102364",
volume = "49",
doi = "10.1016/j.jelekin.2019.102364"
}
Topalović, I., Graovac, S.,& Popović, D. B. (2019). EMG map image processing for recognition of fingers movement.
Journal of Electromyography and Kinesiology
Elsevier., 49, 102364.
https://doi.org/10.1016/j.jelekin.2019.102364
Topalović I, Graovac S, Popović DB. EMG map image processing for recognition of fingers movement. Journal of Electromyography and Kinesiology. 2019;49:102364
Topalović Ivan, Graovac Stevica, Popović Dejan B., "EMG map image processing for recognition of fingers movement" Journal of Electromyography and Kinesiology, 49 (2019):102364,
https://doi.org/10.1016/j.jelekin.2019.102364 .
2
2
2

EMG Map for Designing the Electrode Shape for Functional Electrical Therapy of Upper Extremities

Popović Maneski, Lana; Topalović, Ivan

(Springer International Publishing, 2019)

TY  - CONF
AU  - Popović Maneski, Lana
AU  - Topalović, Ivan
PY  - 2019
UR  - http://dais.sanu.ac.rs/123456789/4592
AB  - Achieving the functional grasp by electrical stimulation using surface electrodes is a demanding task. The innervations of muscles come via ulnar, radial and median nerves. The anatomy of nerve branches connecting various muscles in the forearm differs significantly between individuals. We hypothesize that the anatomical differences between the paretic and nonparetic arms are minimal. Based on this assumption we developed a method where the differences of muscle activities (EMG) between the healthy and paretic arms recorded by the 24-contact electrode within an array define the target zones to be stimulated on the affected forearm. We used special electrode where magnetic contacts allow simple change of the stimulation pads. The examiner positions the magnetic contact on the pads where the EMG differences are maximal. The stimulator delivers asynchronous stimulation to the selected pads. We proved that the method is working in stroke patients by measuring joint angles and the grasping force. © 2019, Springer Nature Switzerland AG.
PB  - Springer International Publishing
C3  - Converging Clinical and Engineering Research on Neurorehabilitation III. ICNR 2018
T1  - EMG Map for Designing the Electrode Shape for Functional Electrical Therapy of Upper Extremities
SP  - 1003
EP  - 1007
VL  - 21
DO  - 10.1007/978-3-030-01845-0_201
ER  - 
@conference{
author = "Popović Maneski, Lana and Topalović, Ivan",
year = "2019",
url = "http://dais.sanu.ac.rs/123456789/4592",
abstract = "Achieving the functional grasp by electrical stimulation using surface electrodes is a demanding task. The innervations of muscles come via ulnar, radial and median nerves. The anatomy of nerve branches connecting various muscles in the forearm differs significantly between individuals. We hypothesize that the anatomical differences between the paretic and nonparetic arms are minimal. Based on this assumption we developed a method where the differences of muscle activities (EMG) between the healthy and paretic arms recorded by the 24-contact electrode within an array define the target zones to be stimulated on the affected forearm. We used special electrode where magnetic contacts allow simple change of the stimulation pads. The examiner positions the magnetic contact on the pads where the EMG differences are maximal. The stimulator delivers asynchronous stimulation to the selected pads. We proved that the method is working in stroke patients by measuring joint angles and the grasping force. © 2019, Springer Nature Switzerland AG.",
publisher = "Springer International Publishing",
journal = "Converging Clinical and Engineering Research on Neurorehabilitation III. ICNR 2018",
title = "EMG Map for Designing the Electrode Shape for Functional Electrical Therapy of Upper Extremities",
pages = "1003-1007",
volume = "21",
doi = "10.1007/978-3-030-01845-0_201"
}
Popović Maneski, L.,& Topalović, I. (2019). EMG Map for Designing the Electrode Shape for Functional Electrical Therapy of Upper Extremities.
Converging Clinical and Engineering Research on Neurorehabilitation III. ICNR 2018
Springer International Publishing., 21, 1003-1007.
https://doi.org/10.1007/978-3-030-01845-0_201
Popović Maneski L, Topalović I. EMG Map for Designing the Electrode Shape for Functional Electrical Therapy of Upper Extremities. Converging Clinical and Engineering Research on Neurorehabilitation III. ICNR 2018. 2019;21:1003-1007
Popović Maneski Lana, Topalović Ivan, "EMG Map for Designing the Electrode Shape for Functional Electrical Therapy of Upper Extremities" Converging Clinical and Engineering Research on Neurorehabilitation III. ICNR 2018, 21 (2019):1003-1007,
https://doi.org/10.1007/978-3-030-01845-0_201 .
2
1

Wearable system for the gait assessment in stroke patients

Popović, Dejan; Topalović, Ivan; Dedijer Dujović, Suzana; Konstantinović, Ljubica

(Springer Nature Switzerland AG, 2019)

TY  - CONF
AU  - Popović, Dejan
AU  - Topalović, Ivan
AU  - Dedijer Dujović, Suzana
AU  - Konstantinović, Ljubica
PY  - 2019
UR  - http://dais.sanu.ac.rs/123456789/4669
AB  - The assessment of the motor performance is an essential component of rehabilitation of humans with a disability. The wearable system is a preferable solution compared to the laboratory-based instrumentation for the clinical use. We integrated a system which combines array electrodes over the muscles of interest connected to the 24-channel digital amplifier and the shoe insole with five robust pressure transducers and one inertial measurement unit per leg. The system sends signals wirelessly to a computer. The graphical interface is simple for usage and simple to interpret. The EMG patterns (muscle activities) and gait events are synchronized by the software. The EMG patterns are determined by cubic spline interpolation of data from 24-pads over the muscle. The gait events are estimated by fuzzy logics applied on the thresholds from signals coming from the insole. The system was tested and accepted by the therapist as a useful and easy clinical tool.
PB  - Springer Nature Switzerland AG
C3  - Converging Clinical and Engineering Research on Neurorehabilitation III : Proceedings of the 4th International Conference on NeuroRehabilitation (ICNR2018), October 16–20, 2018, Pisa, Italy
T1  - Wearable system for the gait assessment in stroke patients
DO  - 10.1007/978-3-030-01845-0
ER  - 
@conference{
author = "Popović, Dejan and Topalović, Ivan and Dedijer Dujović, Suzana and Konstantinović, Ljubica",
year = "2019",
url = "http://dais.sanu.ac.rs/123456789/4669",
abstract = "The assessment of the motor performance is an essential component of rehabilitation of humans with a disability. The wearable system is a preferable solution compared to the laboratory-based instrumentation for the clinical use. We integrated a system which combines array electrodes over the muscles of interest connected to the 24-channel digital amplifier and the shoe insole with five robust pressure transducers and one inertial measurement unit per leg. The system sends signals wirelessly to a computer. The graphical interface is simple for usage and simple to interpret. The EMG patterns (muscle activities) and gait events are synchronized by the software. The EMG patterns are determined by cubic spline interpolation of data from 24-pads over the muscle. The gait events are estimated by fuzzy logics applied on the thresholds from signals coming from the insole. The system was tested and accepted by the therapist as a useful and easy clinical tool.",
publisher = "Springer Nature Switzerland AG",
journal = "Converging Clinical and Engineering Research on Neurorehabilitation III : Proceedings of the 4th International Conference on NeuroRehabilitation (ICNR2018), October 16–20, 2018, Pisa, Italy",
title = "Wearable system for the gait assessment in stroke patients",
doi = "10.1007/978-3-030-01845-0"
}
Popović, D., Topalović, I., Dedijer Dujović, S.,& Konstantinović, L. (2019). Wearable system for the gait assessment in stroke patients.
Converging Clinical and Engineering Research on Neurorehabilitation III : Proceedings of the 4th International Conference on NeuroRehabilitation (ICNR2018), October 16–20, 2018, Pisa, Italy
Springer Nature Switzerland AG..
https://doi.org/10.1007/978-3-030-01845-0
Popović D, Topalović I, Dedijer Dujović S, Konstantinović L. Wearable system for the gait assessment in stroke patients. Converging Clinical and Engineering Research on Neurorehabilitation III : Proceedings of the 4th International Conference on NeuroRehabilitation (ICNR2018), October 16–20, 2018, Pisa, Italy. 2019;
Popović Dejan, Topalović Ivan, Dedijer Dujović Suzana, Konstantinović Ljubica, "Wearable system for the gait assessment in stroke patients" Converging Clinical and Engineering Research on Neurorehabilitation III : Proceedings of the 4th International Conference on NeuroRehabilitation (ICNR2018), October 16–20, 2018, Pisa, Italy (2019),
https://doi.org/10.1007/978-3-030-01845-0 .
12
8

EMG Map for Designing the Electrode Shape for Functional Electrical Therapy of Upper Extremities

Popović Maneski, Lana; Topalović, Ivan

(Springer International Publishing, 2019)

TY  - CONF
AU  - Popović Maneski, Lana
AU  - Topalović, Ivan
PY  - 2019
UR  - http://dais.sanu.ac.rs/123456789/4654
AB  - Achieving the functional grasp by electrical stimulation using surface electrodes is a demanding task. The innervations of muscles come via ulnar, radial and median nerves. The anatomy of nerve branches connecting various muscles in the forearm differs significantly between individuals. We hypothesize that the anatomical differences between the paretic and nonparetic arms are minimal. Based on this assumption we developed a method where the differences of muscle activities (EMG) between the healthy and paretic arms recorded by the 24-contact electrode within an array define the target zones to be stimulated on the affected forearm. We used special electrode where magnetic contacts allow simple change of the stimulation pads. The examiner positions the magnetic contact on the pads where the EMG differences are maximal. The stimulator delivers asynchronous stimulation to the selected pads. We proved that the method is working in stroke patients by measuring joint angles and the grasping force. © 2019, Springer Nature Switzerland AG.
PB  - Springer International Publishing
C3  - Converging Clinical and Engineering Research on Neurorehabilitation III. ICNR 2018
T1  - EMG Map for Designing the Electrode Shape for Functional Electrical Therapy of Upper Extremities
SP  - 1003
EP  - 1007
DO  - 10.1007/978-3-030-01845-0_201
ER  - 
@conference{
author = "Popović Maneski, Lana and Topalović, Ivan",
year = "2019",
url = "http://dais.sanu.ac.rs/123456789/4654",
abstract = "Achieving the functional grasp by electrical stimulation using surface electrodes is a demanding task. The innervations of muscles come via ulnar, radial and median nerves. The anatomy of nerve branches connecting various muscles in the forearm differs significantly between individuals. We hypothesize that the anatomical differences between the paretic and nonparetic arms are minimal. Based on this assumption we developed a method where the differences of muscle activities (EMG) between the healthy and paretic arms recorded by the 24-contact electrode within an array define the target zones to be stimulated on the affected forearm. We used special electrode where magnetic contacts allow simple change of the stimulation pads. The examiner positions the magnetic contact on the pads where the EMG differences are maximal. The stimulator delivers asynchronous stimulation to the selected pads. We proved that the method is working in stroke patients by measuring joint angles and the grasping force. © 2019, Springer Nature Switzerland AG.",
publisher = "Springer International Publishing",
journal = "Converging Clinical and Engineering Research on Neurorehabilitation III. ICNR 2018",
title = "EMG Map for Designing the Electrode Shape for Functional Electrical Therapy of Upper Extremities",
pages = "1003-1007",
doi = "10.1007/978-3-030-01845-0_201"
}
Popović Maneski, L.,& Topalović, I. (2019). EMG Map for Designing the Electrode Shape for Functional Electrical Therapy of Upper Extremities.
Converging Clinical and Engineering Research on Neurorehabilitation III. ICNR 2018
Springer International Publishing., 1003-1007.
https://doi.org/10.1007/978-3-030-01845-0_201
Popović Maneski L, Topalović I. EMG Map for Designing the Electrode Shape for Functional Electrical Therapy of Upper Extremities. Converging Clinical and Engineering Research on Neurorehabilitation III. ICNR 2018. 2019;:1003-1007
Popović Maneski Lana, Topalović Ivan, "EMG Map for Designing the Electrode Shape for Functional Electrical Therapy of Upper Extremities" Converging Clinical and Engineering Research on Neurorehabilitation III. ICNR 2018 (2019):1003-1007,
https://doi.org/10.1007/978-3-030-01845-0_201 .
2
1

Influence of two weeks balance practice with feedback on the gait in hemiplegic patients

Milovanović, Jasmina; Gavrilović, Marija; Topalović, Ivan; Popović, Dejan

(ETRAN, 2018)

TY  - CONF
AU  - Milovanović, Jasmina
AU  - Gavrilović, Marija
AU  - Topalović, Ivan
AU  - Popović, Dejan
PY  - 2018
UR  - https://www.etran.rs/2018/IcETRAN/News/IcETRAN%20sumarni%20program%20sekcija_Ver.%204.3%20(1).pdf
UR  - http://dais.sanu.ac.rs/123456789/4631
AB  - We hypothesized that practicing balance with feedback will improve the gait in hemiplegic patients. The practice consisted of two weeks 30-minute long Wii-Fit balance board gaming. The gait analysis was based on ground reaction pressures (GRP) recorded with the custom designed insoles. The data were collected at 100 samples per second from two insoles, each comprising five pressure (force) sensors. The sensors communicated with the host computer by a WiFi link. Custom software was developed in Matlab for automatic segmentation of the GRP data into segments belonging to swing and stance phases of each step. The examiner could correct the automatic segmentation if necessary. The outputs from the program were: pressure vs. time from all sensors and standard gait data (cadence, symmetry index, etc.). The results show that the exercise of the function with feedback has positive effects on the gait performance. The exercise period was only two weeks, and the group was small and heterogeneous; hence, a more extensive study is required for proving the significance.
PB  - ETRAN
C3  - IcETRAN & ETRAN 2018, Palić 11-14. 06. 2018: Program
T1  - Influence of two weeks balance practice with feedback on the gait in hemiplegic patients
ER  - 
@conference{
author = "Milovanović, Jasmina and Gavrilović, Marija and Topalović, Ivan and Popović, Dejan",
year = "2018",
url = "https://www.etran.rs/2018/IcETRAN/News/IcETRAN%20sumarni%20program%20sekcija_Ver.%204.3%20(1).pdf, http://dais.sanu.ac.rs/123456789/4631",
abstract = "We hypothesized that practicing balance with feedback will improve the gait in hemiplegic patients. The practice consisted of two weeks 30-minute long Wii-Fit balance board gaming. The gait analysis was based on ground reaction pressures (GRP) recorded with the custom designed insoles. The data were collected at 100 samples per second from two insoles, each comprising five pressure (force) sensors. The sensors communicated with the host computer by a WiFi link. Custom software was developed in Matlab for automatic segmentation of the GRP data into segments belonging to swing and stance phases of each step. The examiner could correct the automatic segmentation if necessary. The outputs from the program were: pressure vs. time from all sensors and standard gait data (cadence, symmetry index, etc.). The results show that the exercise of the function with feedback has positive effects on the gait performance. The exercise period was only two weeks, and the group was small and heterogeneous; hence, a more extensive study is required for proving the significance.",
publisher = "ETRAN",
journal = "IcETRAN & ETRAN 2018, Palić 11-14. 06. 2018: Program",
title = "Influence of two weeks balance practice with feedback on the gait in hemiplegic patients"
}
Milovanović, J., Gavrilović, M., Topalović, I.,& Popović, D. (2018). Influence of two weeks balance practice with feedback on the gait in hemiplegic patients.
IcETRAN & ETRAN 2018, Palić 11-14. 06. 2018: Program
ETRAN..
Milovanović J, Gavrilović M, Topalović I, Popović D. Influence of two weeks balance practice with feedback on the gait in hemiplegic patients. IcETRAN & ETRAN 2018, Palić 11-14. 06. 2018: Program. 2018;
Milovanović Jasmina, Gavrilović Marija, Topalović Ivan, Popović Dejan, "Influence of two weeks balance practice with feedback on the gait in hemiplegic patients" IcETRAN & ETRAN 2018, Palić 11-14. 06. 2018: Program (2018)

Effects of Wii-fit balance board exercise on the posture of stroke patients

Kundaica, Slobodanka; Gavrilović, Marija; Topalović, Ivan; Popović, Dejan

(ETRAN, 2018)

TY  - CONF
AU  - Kundaica, Slobodanka
AU  - Gavrilović, Marija
AU  - Topalović, Ivan
AU  - Popović, Dejan
PY  - 2018
UR  - https://www.etran.rs/2018/IcETRAN/News/IcETRAN%20sumarni%20program%20sekcija_Ver.%204.3%20(1).pdf
UR  - http://dais.sanu.ac.rs/123456789/4632
AB  - We studied the effects of the balancing exercise with visual feedback to the correction of posture in stroke patients. We included eight stroke patients into a 30-minute daily, two-week long clinical study where Wii-Fit balance board was the instrument to provide visual feedback. We assessed the posture before and after the treatment by four clinical tests: Berg balance test, Barthel index, Timed up & go and Functional reach test. We also analyzed the ground reaction pressures (GRP). We measured the GRP by using insoles comprising five MEMS sensors each. We developed a program that created maps showing ground pressure distribution. The program uses cubic spline interpolation of data. The maps of left and right sole were compared to assess the symmetry, and the maps before and after the treatment were used to examine the effects of the exercise. The clinical test scores suggest improved standing after the treatment compared with before the treatment. The maps of ground reaction pressure also show improvement, but more critical provide information for correcting the posture.
PB  - ETRAN
C3  - IcETRAN & ETRAN 2018, Palić 11-14. 06. 2018: Program
T1  - Effects of Wii-fit balance board exercise on the posture of stroke patients
ER  - 
@conference{
author = "Kundaica, Slobodanka and Gavrilović, Marija and Topalović, Ivan and Popović, Dejan",
year = "2018",
url = "https://www.etran.rs/2018/IcETRAN/News/IcETRAN%20sumarni%20program%20sekcija_Ver.%204.3%20(1).pdf, http://dais.sanu.ac.rs/123456789/4632",
abstract = "We studied the effects of the balancing exercise with visual feedback to the correction of posture in stroke patients. We included eight stroke patients into a 30-minute daily, two-week long clinical study where Wii-Fit balance board was the instrument to provide visual feedback. We assessed the posture before and after the treatment by four clinical tests: Berg balance test, Barthel index, Timed up & go and Functional reach test. We also analyzed the ground reaction pressures (GRP). We measured the GRP by using insoles comprising five MEMS sensors each. We developed a program that created maps showing ground pressure distribution. The program uses cubic spline interpolation of data. The maps of left and right sole were compared to assess the symmetry, and the maps before and after the treatment were used to examine the effects of the exercise. The clinical test scores suggest improved standing after the treatment compared with before the treatment. The maps of ground reaction pressure also show improvement, but more critical provide information for correcting the posture.",
publisher = "ETRAN",
journal = "IcETRAN & ETRAN 2018, Palić 11-14. 06. 2018: Program",
title = "Effects of Wii-fit balance board exercise on the posture of stroke patients"
}
Kundaica, S., Gavrilović, M., Topalović, I.,& Popović, D. (2018). Effects of Wii-fit balance board exercise on the posture of stroke patients.
IcETRAN & ETRAN 2018, Palić 11-14. 06. 2018: Program
ETRAN..
Kundaica S, Gavrilović M, Topalović I, Popović D. Effects of Wii-fit balance board exercise on the posture of stroke patients. IcETRAN & ETRAN 2018, Palić 11-14. 06. 2018: Program. 2018;
Kundaica Slobodanka, Gavrilović Marija, Topalović Ivan, Popović Dejan, "Effects of Wii-fit balance board exercise on the posture of stroke patients" IcETRAN & ETRAN 2018, Palić 11-14. 06. 2018: Program (2018)

Poster 89: The Effects of Foot Drop Stimulator on the Parameters of Functional Locomotion in Subjects with Stroke-Related Foot Drop

Dedijer Dujović, Suzana; Vidaković, Aleksandra; Đorđević, Olivera; Gavrilović, Marica; Rosić, Stefan S.; Popović, Dejan; Topalović, Ivan; Konstantinović, Ljubica

(Elsevier, 2018)

TY  - CONF
AU  - Dedijer Dujović, Suzana
AU  - Vidaković, Aleksandra
AU  - Đorđević, Olivera
AU  - Gavrilović, Marica
AU  - Rosić, Stefan S.
AU  - Popović, Dejan
AU  - Topalović, Ivan
AU  - Konstantinović, Ljubica
PY  - 2018
UR  - https://linkinghub.elsevier.com/retrieve/pii/S1934148218305483
UR  - http://dais.sanu.ac.rs/123456789/4626
AB  - Objective: To determine if conventional rehabilitation program combined with functional electrical stimulation (FES) applied to the ankle dorsiflexor muscles during walking through a foot drop stimulator (FDS) would influence activation of tibialis anterior (TA) and improve walking ability in individuals with stroke-related drop foot. Design: Case series Setting: Post-acute rehabilitation hospital.  Participants: Individuals with stroke-related drop foot. Interventions: All study subjects received the conventional stroke rehabilitation program 5 days a week, 1h a day combined with walking while FES system based on multi-pad electrode applied, for 30min, during 4 weeks. The following outcome measurements were taken at baseline and at post-treatment.  Main Outcome Measures: Surface electromyography (sEMG), gait speed using 10 Meter Walk Test (10MWT), Fugl-Meyer assessment (FMA) and Berg Balance Scale (BBS).  Results: The analyzed recorded EMG signal showed an improvement in both amplitude and frequency spectrum, which indicates an improvement in muscle power of TA treated with FES therapy. Mean increase in 10MWT was 38.7% (P <.05). The initial FMA score increased from 22.9±2.4 to 28.8±3.5 (P < .01) and BBS score increased from 36.6±7.4 to 42.0±8.5 (P < .05).  Conclusions: Our data confirm that FES therapy using multi-pad electrode combined with conventional rehabilitation significantly increase muscle recruitment and improve recovery of functional locomotion in patients with stroke-related drop foot.  Level of Evidence: Level IV
PB  - Elsevier
C3  - PM&R: the journal of injury, function, and rehabilitation American Academy of Physical Medicine and Rehabilitation
T1  - Poster 89: The Effects of Foot Drop Stimulator on the Parameters of Functional Locomotion in Subjects with Stroke-Related Foot Drop
SP  - S35
VL  - 10
IS  - 9
DO  - 10.1016/j.pmrj.2018.08.114
ER  - 
@conference{
author = "Dedijer Dujović, Suzana and Vidaković, Aleksandra and Đorđević, Olivera and Gavrilović, Marica and Rosić, Stefan S. and Popović, Dejan and Topalović, Ivan and Konstantinović, Ljubica",
year = "2018",
url = "https://linkinghub.elsevier.com/retrieve/pii/S1934148218305483, http://dais.sanu.ac.rs/123456789/4626",
abstract = "Objective: To determine if conventional rehabilitation program combined with functional electrical stimulation (FES) applied to the ankle dorsiflexor muscles during walking through a foot drop stimulator (FDS) would influence activation of tibialis anterior (TA) and improve walking ability in individuals with stroke-related drop foot. Design: Case series Setting: Post-acute rehabilitation hospital.  Participants: Individuals with stroke-related drop foot. Interventions: All study subjects received the conventional stroke rehabilitation program 5 days a week, 1h a day combined with walking while FES system based on multi-pad electrode applied, for 30min, during 4 weeks. The following outcome measurements were taken at baseline and at post-treatment.  Main Outcome Measures: Surface electromyography (sEMG), gait speed using 10 Meter Walk Test (10MWT), Fugl-Meyer assessment (FMA) and Berg Balance Scale (BBS).  Results: The analyzed recorded EMG signal showed an improvement in both amplitude and frequency spectrum, which indicates an improvement in muscle power of TA treated with FES therapy. Mean increase in 10MWT was 38.7% (P <.05). The initial FMA score increased from 22.9±2.4 to 28.8±3.5 (P < .01) and BBS score increased from 36.6±7.4 to 42.0±8.5 (P < .05).  Conclusions: Our data confirm that FES therapy using multi-pad electrode combined with conventional rehabilitation significantly increase muscle recruitment and improve recovery of functional locomotion in patients with stroke-related drop foot.  Level of Evidence: Level IV",
publisher = "Elsevier",
journal = "PM&R: the journal of injury, function, and rehabilitation American Academy of Physical Medicine and Rehabilitation",
title = "Poster 89: The Effects of Foot Drop Stimulator on the Parameters of Functional Locomotion in Subjects with Stroke-Related Foot Drop",
pages = "S35",
volume = "10",
number = "9",
doi = "10.1016/j.pmrj.2018.08.114"
}
Dedijer Dujović, S., Vidaković, A., Đorđević, O., Gavrilović, M., Rosić, S. S., Popović, D., Topalović, I.,& Konstantinović, L. (2018). Poster 89: The Effects of Foot Drop Stimulator on the Parameters of Functional Locomotion in Subjects with Stroke-Related Foot Drop.
PM&R: the journal of injury, function, and rehabilitation American Academy of Physical Medicine and Rehabilitation
Elsevier., 10(9), S35.
https://doi.org/10.1016/j.pmrj.2018.08.114
Dedijer Dujović S, Vidaković A, Đorđević O, Gavrilović M, Rosić SS, Popović D, Topalović I, Konstantinović L. Poster 89: The Effects of Foot Drop Stimulator on the Parameters of Functional Locomotion in Subjects with Stroke-Related Foot Drop. PM&R: the journal of injury, function, and rehabilitation American Academy of Physical Medicine and Rehabilitation. 2018;10(9):S35
Dedijer Dujović Suzana, Vidaković Aleksandra, Đorđević Olivera, Gavrilović Marica, Rosić Stefan S., Popović Dejan, Topalović Ivan, Konstantinović Ljubica, "Poster 89: The Effects of Foot Drop Stimulator on the Parameters of Functional Locomotion in Subjects with Stroke-Related Foot Drop" PM&R: the journal of injury, function, and rehabilitation American Academy of Physical Medicine and Rehabilitation, 10, no. 9 (2018):S35,
https://doi.org/10.1016/j.pmrj.2018.08.114 .

Stimulation map for control of functional grasp based on multi-channel EMG recordings

Popović Maneski, Lana; Topalović, Ivan; Jovičić, Nenad; Dedijer, Suzana; Konstantinović, Ljubica; Popović, Dejan B.

(Elsevier, 2016)

TY  - JOUR
AU  - Popović Maneski, Lana
AU  - Topalović, Ivan
AU  - Jovičić, Nenad
AU  - Dedijer, Suzana
AU  - Konstantinović, Ljubica
AU  - Popović, Dejan B.
PY  - 2016
UR  - http://dais.sanu.ac.rs/123456789/15999
AB  - Transcutaneous activation of muscles with electrical stimulation has limited selectivity in recruiting paralyzed muscles in stroke patients. However, the selectivity could be increased by the application of smaller electrodes and their appropriate positioning on the skin. We developed a method for selecting the appropriate positions of the stimulating electrodes based on electromyography (EMG). The EMG activity maps were estimated from signals recorded with two electrode arrays and two 24-channel wearable amplifiers positioned on the nonparetic and paretic forearms. The areas where the difference between the EMG maps obtained from the nonparetic and paretic arms was significant were identified as the stimulation sites. The stimulation was applied through array electrodes with magnetic holders and two wearable stimulators with four output channels each. The measures of functionality included joint angles measured with goniometers (hand opening) and grasp force measured with a multi-contact dynamometer (grasping). The stimulation protocol comprised co-activation of flexors and extensors to stabilize the wrist joint and prevent pronation/supination.
PB  - Elsevier
T2  - Medical Engineering and Physics
T1  - Stimulation map for control of functional grasp based on multi-channel EMG recordings
SP  - 1251
EP  - 1259
VL  - 38
IS  - 11
DO  - 10.1016/j.medengphy.2016.06.004
ER  - 
@article{
author = "Popović Maneski, Lana and Topalović, Ivan and Jovičić, Nenad and Dedijer, Suzana and Konstantinović, Ljubica and Popović, Dejan B.",
year = "2016",
url = "http://dais.sanu.ac.rs/123456789/15999",
abstract = "Transcutaneous activation of muscles with electrical stimulation has limited selectivity in recruiting paralyzed muscles in stroke patients. However, the selectivity could be increased by the application of smaller electrodes and their appropriate positioning on the skin. We developed a method for selecting the appropriate positions of the stimulating electrodes based on electromyography (EMG). The EMG activity maps were estimated from signals recorded with two electrode arrays and two 24-channel wearable amplifiers positioned on the nonparetic and paretic forearms. The areas where the difference between the EMG maps obtained from the nonparetic and paretic arms was significant were identified as the stimulation sites. The stimulation was applied through array electrodes with magnetic holders and two wearable stimulators with four output channels each. The measures of functionality included joint angles measured with goniometers (hand opening) and grasp force measured with a multi-contact dynamometer (grasping). The stimulation protocol comprised co-activation of flexors and extensors to stabilize the wrist joint and prevent pronation/supination.",
publisher = "Elsevier",
journal = "Medical Engineering and Physics",
title = "Stimulation map for control of functional grasp based on multi-channel EMG recordings",
pages = "1251-1259",
volume = "38",
number = "11",
doi = "10.1016/j.medengphy.2016.06.004"
}
Popović Maneski, L., Topalović, I., Jovičić, N., Dedijer, S., Konstantinović, L.,& Popović, D. B. (2016). Stimulation map for control of functional grasp based on multi-channel EMG recordings.
Medical Engineering and Physics
Elsevier., 38(11), 1251-1259.
https://doi.org/10.1016/j.medengphy.2016.06.004
Popović Maneski L, Topalović I, Jovičić N, Dedijer S, Konstantinović L, Popović DB. Stimulation map for control of functional grasp based on multi-channel EMG recordings. Medical Engineering and Physics. 2016;38(11):1251-1259
Popović Maneski Lana, Topalović Ivan, Jovičić Nenad, Dedijer Suzana, Konstantinović Ljubica, Popović Dejan B., "Stimulation map for control of functional grasp based on multi-channel EMG recordings" Medical Engineering and Physics, 38, no. 11 (2016):1251-1259,
https://doi.org/10.1016/j.medengphy.2016.06.004 .
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