Ales Holobar

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Prof. Dr. Dario FarinaProfessor and Chair in Neurorehabilitation Engineering, Dept. Bioengineering, Imperial CollegeVerified email at imperial.ac.uk
Damjan ZazulaProfessor of Computer Science, University of Maribor, SloveniaVerified email at um.si
Roger EnokaUniversity of Colorado BoulderVerified email at colorado.edu
Francesco NegroDepartment of Clinical and Experimental SciencesVerified email at unibs.it
Kohei WatanabeProfessor, School of Health and Sport Sciences, Chukyo UniversityVerified email at lets.chukyo-u.ac.jp
Professor Deborah FallaChair in Rehabilitation Science and Physiotherapy, School of Sport, Exercise and RehabilitationVerified email at bham.ac.uk
Alberto BotterPolitecnico di TorinoVerified email at polito.it
Francois HugUniversité Côte d'azurVerified email at univ-nantes.fr
Eduardo Rocon (ORCID: 0000-0001-9...Full Professor at Centre for Automation and Robotics, CSIC-UPM (https://ror.org/02wh02235)Verified email at csic.es
Jakob DideriksenDepartment of Health Science and Technology, Aalborg University, DenmarkVerified email at hst.aau.dk
Juan Alvaro GallegoSenior Lecturer and Group Leader, Department of Bioengineering, Imperial College LondonVerified email at imperial.ac.uk
Alessandro Del VecchioDepartment Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander-UniversityVerified email at fau.de
Madeleine LoweryUniversity College DublinVerified email at ucd.ie
Kylie TuckerSchool of Biomedical Sciences, The University of QueenslandVerified email at uq.edu.au
Jose L. PonsScientific Chair, Shirley Ryan AbilityLab (formerly Rehabilitation Institute of Chicago)Verified email at sralab.org
Julián Benito-LeónComplutense UniversityVerified email at salud.madrid.org
Hamid Reza MaratebAssociate Professor of Biomedical engineering, University of Isfahan and Research fellow at UPC.Verified email at eng.ui.ac.ir

Ales Holobar

Faculty of Electrical Engineering and Computer Science, University of Maribor

Verified email at um.si

Biomedical engineering biosignal processing neural engineering signal processing


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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	1016	2014
Multichannel blind source separation using convolution kernel compensation A Holobar, D Zazula IEEE Transactions on Signal Processing 55 (9), 4487-4496, 2007	610	2007
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	534	2016
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	405	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	392	2008
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	378	2014
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	334	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	324	2009
You are as fast as your motor neurons: speed of recruitment and maximal discharge of motor neurons determine the maximal rate of force development in humans A Del Vecchio, F Negro, A Holobar, A Casolo, JP Folland, F Felici, ... The Journal of physiology 597 (9), 2445-2456, 2019	311	2019
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	272	2010
Tutorial: Analysis of motor unit discharge characteristics from high-density surface EMG signals A Del Vecchio, A Holobar, D Falla, F Felici, RM Enoka, D Farina Journal of Electromyography and Kinesiology 53, 102426, 2020	264	2020
Consensus for experimental design in electromyography (CEDE) project: Amplitude normalization matrix M Besomi, PW Hodges, EA Clancy, J Van Dieën, F Hug, M Lowery, ... Journal of Electromyography and Kinesiology 53, 102438, 2020	232	2020
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	220	2010
Characterization of human motor units from surface EMG decomposition D Farina, A Holobar Proceedings of the IEEE 104 (2), 353-373, 2016	200	2016
Correlation-based decomposition of surface electromyograms at low contraction forces A Holobar, D Zazula Medical and Biological Engineering and Computing 42, 487-495, 2004	180	2004
Blind source identification from the multichannel surface electromyogram A Holobar, D Farina Physiological measurement 35 (7), R143, 2014	153	2014
Consensus for experimental design in electromyography (CEDE) project: Electrode selection matrix M Besomi, PW Hodges, J Van Dieën, RG Carson, EA Clancy, ... Journal of Electromyography and Kinesiology 48, 128-144, 2019	134	2019
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	134	2013
Gradient convolution kernel compensation applied to surface electromyograms A Holobar, D Zazula International Conference on Independent Component Analysis and Signal …, 2007	115	2007
Age-related changes in motor unit firing pattern of vastus lateralis muscle during low-moderate contraction K Watanabe, A Holobar, M Kouzaki, M Ogawa, H Akima, T Moritani Age 38, 1-14, 2016	113	2016

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