Minja Belić
Minja Belić
Researcher at Innovation center, School of Electrical Engineering, University of Belgrade
Verified email at
Cited by
Cited by
Multichannel electrotactile feedback with spatial and mixed coding for closed-loop control of grasping force in hand prostheses
S Dosen, M Markovic, M Strbac, M Belić, V Kojić, G Bijelić, T Keller, ...
IEEE Transactions on Neural Systems and Rehabilitation Engineering 25 (3 …, 2016
Integrated and flexible multichannel interface for electrotactile stimulation
M Štrbac, M Belić, M Isaković, V Kojić, G Bijelić, I Popović, M Radotić, ...
Journal of neural engineering 13 (4), 046014, 2016
Artificial intelligence for assisting diagnostics and assessment of Parkinson’s disease—A review
M Belić, V Bobić, M Badža, N Šolaja, M Đurić-Jovičić, VS Kostić
Clinical neurology and neurosurgery 184, 105442, 2019
Short-and long-term learning of feedforward control of a myoelectric prosthesis with sensory feedback by amputees
M Štrbac, M Isaković, M Belić, I Popović, I Simanić, D Farina, T Keller, ...
IEEE Transactions on Neural Systems and Rehabilitation Engineering 25 (11 …, 2017
Electrotactile feedback improves performance and facilitates learning in the routine grasping task
M Isaković, M Belić, M Štrbac, I Popović, S Došen, D Farina, T Keller
European journal of translational myology 26 (3), 2016
Finger tapping analysis in patients with Parkinson’s disease and atypical parkinsonism
M Djurić-Jovičić, I Petrović, M Ječmenica-Lukić, S Radovanović, ...
Journal of Clinical Neuroscience 30, 49-55, 2016
Electrical stimulation of the forearm: a method for transmitting sensory signals from the artificial hand to the brain
M Perović, M Stevanović, T Jevtić, M Štrbac, G Bijelić, Č Vučetić, ...
Journal of Automatic Control 21 (1), 13-18, 2013
Selection of gait parameters for differential diagnostics of patients with de novo Parkinson’s disease
M Djurić-Jovičić, M Belić, I Stanković, S Radovanović, VS Kostić
Neurological research 39 (10), 853-861, 2017
Contactless real-time heartbeat detection via 24 GHz continuous-wave Doppler radar using artificial neural networks
N Malešević, V Petrović, M Belić, C Antfolk, V Mihajlović, M Janković
Sensors 20 (8), 2351, 2020
Finger and foot tapping sensor system for objective motor assessment
M Đurić-Jovičić, NS Jovičić, SM Radovanović, M Ječmenica-Lukić, ...
Vojnosanitetski pregled 75 (1), 68-77, 2018
Dynamic stimulation patterns for conveying proprioceptive information from multi-DOF prosthesis
M Isaković, M Štrbac, M Belić, G Bijelić, I Popović, M Radotić, S Došen, ...
Converging Clinical and Engineering Research on Neurorehabilitation II, 601-605, 2017
Quantitative finger tapping assessment based on inertial sensors-assistance in differential diagnostics of parkinsonism
M Đurić-Jovičić, M Ječmenica-Lukić, I Petrović, SM Radovanović, ...
European Journal of Neurology 22, 344-344, 2015
Multiple regression analysis of repetitive finger tapping parameters
V Miler-Jerković, M Djurić-Jovičić, M Perović-Belić, M Ječmenica-Lukić, ...
2014 22nd Telecommunications Forum Telfor (TELFOR), 537-540, 2014
Proprioceptive feedback via dynamic stimulation patterns in closed-loop control of multi-DOF virtual prosthesis
MS Isaković, M Štrbac, M Belić, T Keller, S Došen
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