|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