Ales Holobar
Ales Holobar
Faculty of Electrical Engineering and Computer Science, University of Maribor
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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
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
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
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
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
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
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
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
Blind source identification from the multichannel surface electromyogram
A Holobar, D Farina
Physiological measurement 35 (7), R143, 2014
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
Characterization of human motor units from surface EMG decomposition
D Farina, A Holobar
Proceedings of the IEEE 104 (2), 353-373, 2016
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
Origin and development of muscle cramps
MA Minetto, A Holobar, A Botter, D Farina
Exercise and sport sciences reviews 41 (1), 3-10, 2013
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
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
Gradient convolution kernel compensation applied to surface electromyograms
A Holobar, D Zazula
International Conference on Independent Component Analysis and Signal …, 2007
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