TY  - JOUR
AU  - Topalović, Ivan
AU  - Graovac, Stevica
AU  - Popović, Dejan B.
PY  - 2019
UR  - http://www.sciencedirect.com/science/article/pii/S1050641119302160
UR  - https://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
UR  - https://hdl.handle.net/21.15107/rcub_dais_6905
ER  - 

@article{
author = "Topalović, Ivan and Graovac, Stevica and Popović, Dejan B.",
year = "2019",
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",
url = "https://hdl.handle.net/21.15107/rcub_dais_6905"
}

Topalović, I., Graovac, S.,& Popović, D. B.. (2019). EMG map image processing for recognition of fingers movement. in Journal of Electromyography and Kinesiology
Elsevier., 49, 102364.
https://doi.org/10.1016/j.jelekin.2019.102364
https://hdl.handle.net/21.15107/rcub_dais_6905

Topalović I, Graovac S, Popović DB. EMG map image processing for recognition of fingers movement. in Journal of Electromyography and Kinesiology. 2019;49:102364.
doi:10.1016/j.jelekin.2019.102364
https://hdl.handle.net/21.15107/rcub_dais_6905 .

Topalović, Ivan, Graovac, Stevica, Popović, Dejan B., "EMG map image processing for recognition of fingers movement" in Journal of Electromyography and Kinesiology, 49 (2019):102364,
https://doi.org/10.1016/j.jelekin.2019.102364 .,
https://hdl.handle.net/21.15107/rcub_dais_6905 .

TY  - JOUR
AU  - Topalović, Ivan
AU  - Graovac, Stevica
AU  - Popović, Dejan B.
PY  - 2019
UR  - http://www.sciencedirect.com/science/article/pii/S1050641119302160
UR  - https://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
UR  - https://hdl.handle.net/21.15107/rcub_dais_6904
ER  - 

@article{
author = "Topalović, Ivan and Graovac, Stevica and Popović, Dejan B.",
year = "2019",
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",
url = "https://hdl.handle.net/21.15107/rcub_dais_6904"
}

Topalović, I., Graovac, S.,& Popović, D. B.. (2019). EMG map image processing for recognition of fingers movement. in Journal of Electromyography and Kinesiology
Elsevier., 49, 102364.
https://doi.org/10.1016/j.jelekin.2019.102364
https://hdl.handle.net/21.15107/rcub_dais_6904

Topalović I, Graovac S, Popović DB. EMG map image processing for recognition of fingers movement. in Journal of Electromyography and Kinesiology. 2019;49:102364.
doi:10.1016/j.jelekin.2019.102364
https://hdl.handle.net/21.15107/rcub_dais_6904 .

Topalović, Ivan, Graovac, Stevica, Popović, Dejan B., "EMG map image processing for recognition of fingers movement" in Journal of Electromyography and Kinesiology, 49 (2019):102364,
https://doi.org/10.1016/j.jelekin.2019.102364 .,
https://hdl.handle.net/21.15107/rcub_dais_6904 .

TY  - JOUR
AU  - Aleksić, Antonina
AU  - Graovac, Stevica
AU  - Popović Maneski, Lana
AU  - Popović, Dejan B.
PY  - 2018
UR  - https://dais.sanu.ac.rs/123456789/3744
AB  - The pendulum test is the method for quantification of the level of spasticity in persons with spinal cord and brain injuries/diseases. The data for the assessment comes from the analysis of lower leg rotation in the sagittal plane while sitting caused by gravity. We built a simple instrument that uses the smart phone and passive markers for studying the pendulum movement of the leg. We compared the results of the new device with the results acquired with the conventional apparatus which uses a knee joint angle encoder and inertial sensors mounted on the upper and lower leg. The differences of parameters estimated from the test between the two systems are in the range of 5%, which is in the same range as the precision of the positioning of the pendulum apparatus on the leg. The new system is simple for the application (donning, doffing, setup time, accuracy, repeatability) and allows a straightforward interpretation to a clinician. © Serbian Journal of Electrical Engineering. 2018.
PB  - Kragujevac : University of Kragujevac, Faculty of Science
T2  - Serbian Journal of Electrical Engineering
T1  - The assessment of spasticity: Pendulum test based smart phone movie of passive markers
SP  - 29
EP  - 39
VL  - 15
IS  - 1
DO  - 10.2298/SJEE1801029A
UR  - https://hdl.handle.net/21.15107/rcub_dais_3744
ER  - 

@article{
author = "Aleksić, Antonina and Graovac, Stevica and Popović Maneski, Lana and Popović, Dejan B.",
year = "2018",
abstract = "The pendulum test is the method for quantification of the level of spasticity in persons with spinal cord and brain injuries/diseases. The data for the assessment comes from the analysis of lower leg rotation in the sagittal plane while sitting caused by gravity. We built a simple instrument that uses the smart phone and passive markers for studying the pendulum movement of the leg. We compared the results of the new device with the results acquired with the conventional apparatus which uses a knee joint angle encoder and inertial sensors mounted on the upper and lower leg. The differences of parameters estimated from the test between the two systems are in the range of 5%, which is in the same range as the precision of the positioning of the pendulum apparatus on the leg. The new system is simple for the application (donning, doffing, setup time, accuracy, repeatability) and allows a straightforward interpretation to a clinician. © Serbian Journal of Electrical Engineering. 2018.",
publisher = "Kragujevac : University of Kragujevac, Faculty of Science",
journal = "Serbian Journal of Electrical Engineering",
title = "The assessment of spasticity: Pendulum test based smart phone movie of passive markers",
pages = "29-39",
volume = "15",
number = "1",
doi = "10.2298/SJEE1801029A",
url = "https://hdl.handle.net/21.15107/rcub_dais_3744"
}

Aleksić, A., Graovac, S., Popović Maneski, L.,& Popović, D. B.. (2018). The assessment of spasticity: Pendulum test based smart phone movie of passive markers. in Serbian Journal of Electrical Engineering
Kragujevac : University of Kragujevac, Faculty of Science., 15(1), 29-39.
https://doi.org/10.2298/SJEE1801029A
https://hdl.handle.net/21.15107/rcub_dais_3744

Aleksić A, Graovac S, Popović Maneski L, Popović DB. The assessment of spasticity: Pendulum test based smart phone movie of passive markers. in Serbian Journal of Electrical Engineering. 2018;15(1):29-39.
doi:10.2298/SJEE1801029A
https://hdl.handle.net/21.15107/rcub_dais_3744 .

Aleksić, Antonina, Graovac, Stevica, Popović Maneski, Lana, Popović, Dejan B., "The assessment of spasticity: Pendulum test based smart phone movie of passive markers" in Serbian Journal of Electrical Engineering, 15, no. 1 (2018):29-39,
https://doi.org/10.2298/SJEE1801029A .,
https://hdl.handle.net/21.15107/rcub_dais_3744 .