Ales Holobar

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

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Ales Holobar

Faculty of Electrical Engineering and Computer Science, University of Maribor

Dirección de correo verificada de um.si

Biomedical engineering biosignal processing neural engineering signal processing


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	1045	2014
Multichannel blind source separation using convolution kernel compensation A Holobar, D Zazula IEEE Transactions on Signal Processing 55 (9), 4487-4496, 2007	638	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	569	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	425	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	399	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	397	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	346	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	336	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	333	2019
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	296	2020
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	284	2010
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	257	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	227	2010
Characterization of human motor units from surface EMG decomposition D Farina, A Holobar Proceedings of the IEEE 104 (2), 353-373, 2016	208	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	183	2004
Blind source identification from the multichannel surface electromyogram A Holobar, D Farina Physiological measurement 35 (7), R143, 2014	159	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	148	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	144	2013
Gradient convolution kernel compensation applied to surface electromyograms A Holobar, D Zazula International Conference on Independent Component Analysis and Signal …, 2007	124	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	116	2016

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