Ales Holobar
Ales Holobar
Faculty of Electrical Engineering and Computer Science, University of Maribor
Verified email at
TitleCited byYear
The extraction of neural information from the surface EMG for the control of upper-limb prostheses: emerging avenues and challenges
D Farina, N Jiang, H Rehbaum, A Holobar, B Graimann, H Dietl, ...
IEEE Transactions on Neural Systems and Rehabilitation Engineering 22 (4 …, 2014
Multichannel blind source separation using convolution kernel compensation
A Holobar, D Zazula
IEEE Transactions on Signal Processing 55 (9), 4487-4496, 2007
Analysis of motor units with high-density surface electromyography
R Merletti, A Holobar, D Farina
Journal of electromyography and kinesiology 18 (6), 879-890, 2008
Decoding the neural drive to muscles from the surface electromyogram
D Farina, A Holobar, R Merletti, RM Enoka
Clinical neurophysiology 121 (10), 1616-1623, 2010
Estimating motor unit discharge patterns from high-density surface electromyogram
A Holobar, D Farina, M Gazzoni, R Merletti, D Zazula
Clinical Neurophysiology 120 (3), 551-562, 2009
Fluctuations in isometric muscle force can be described by one linear projection of low‐frequency components of motor unit discharge rates
F Negro, A Holobar, D Farina
The Journal of physiology 587 (24), 5925-5938, 2009
Experimental analysis of accuracy in the identification of motor unit spike trains from high-density surface EMG
A Holobar, MA Minetto, A Botter, F Negro, D Farina
IEEE Transactions on Neural Systems and Rehabilitation Engineering 18 (3 …, 2010
Multi-channel intramuscular and surface EMG decomposition by convolutive blind source separation
F Negro, S Muceli, AM Castronovo, A Holobar, D Farina
Journal of neural engineering 13 (2), 026027, 2016
Advances in surface EMG: recent progress in detection and processing techniques
R Merletti, M Aventaggiato, A Botter, A Holobar, H Marateb, TMM Vieira
Critical Reviews™ in Biomedical Engineering 38 (4), 2010
Accurate identification of motor unit discharge patterns from high-density surface EMG and validation with a novel signal-based performance metric
A Holobar, MA Minetto, D Farina
Journal of neural engineering 11 (1), 016008, 2014
Correlation-based decomposition of surface electromyograms at low contraction forces
A Holobar, D Zazula
Medical and Biological Engineering and Computing 42 (4), 487-495, 2004
Non-invasive characterization of motor unit behaviour in pathological tremor
A Holobar, V Glaser, JA Gallego, JL Dideriksen, D Farina
Journal of neural engineering 9 (5), 056011, 2012
Single autoterms selection for blind source separation in time-frequency plane
A Holobar, C Fevotte, C Doncarli, D Zazula
2002 11th European Signal Processing Conference, 1-4, 2002
Blind source identification from the multichannel surface electromyogram
A Holobar, D Farina
Physiological measurement 35 (7), R143, 2014
Origin and development of muscle cramps
MA Minetto, A Holobar, A Botter, D Farina
Exercise and sport sciences reviews 41 (1), 3-10, 2013
Examination of poststroke alteration in motor unit firing behavior using high-density surface EMG decomposition
X Li, A Holobar, M Gazzoni, R Merletti, WZ Rymer, P Zhou
IEEE transactions on biomedical engineering 62 (5), 1242-1252, 2014
Adjustments differ among low-threshold motor units during intermittent, isometric contractions
D Farina, A Holobar, M Gazzoni, D Zazula, R Merletti, RM Enoka
Journal of neurophysiology 101 (1), 350-359, 2009
Real-time motor unit identification from high-density surface EMG
V Glaser, A Holobar, D Zazula
IEEE transactions on neural systems and rehabilitation engineering 21 (6 …, 2013
Characterization of human motor units from surface EMG decomposition
D Farina, A Holobar
Proceedings of the IEEE 104 (2), 353-373, 2016
Accuracy assessment of CKC high-density surface EMG decomposition in biceps femoris muscle
HR Marateb, KC McGill, A Holobar, ZC Lateva, M Mansourian, R Merletti
Journal of neural engineering 8 (6), 066002, 2011
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