Ales Holobar

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 26

Top Topics

Source Separation

Detection Algorithm

Negative Matrix Factorization

Top Venues

IEEE Trans. Biomed. Eng.

Publications

Le Trung Thanh, Karim Abed-Meraim, Philippe Ravier, Olivier Buttelli, Ales Holobar
Tensor decomposition meets blind source separation. Signal Process. 221 (2024)
Le Trung Thanh, Karim Abed-Meraim, Philippe Ravier, Olivier Buttelli, Ales Holobar
Joint INDSCAL Decomposition Meets Blind Source Separation. ICASSP (2024)
Le Trung Thanh, Karim Abed-Meraim, Philippe Ravier, Olivier Buttelli, Ales Holobar
Tensorial Convolutive Blind Source Separation. ICASSP (2024)
Milos Kalc, Jakob Skarabot, Matjaz Divjak, Filip Urh, Matej Kramberger, Matjaz Vogrin, Ales Holobar
Motor Unit Identification in the M Waves Recorded by High-Density Electromyogram. IEEE Trans. Biomed. Eng. 70 (5) (2023)
Ales Holobar, Dario Farina
Noninvasive Neural Interfacing With Wearable Muscle Sensors: Combining Convolutive Blind Source Separation Methods and Deep Learning Techniques for Neural Decoding. IEEE Signal Process. Mag. 38 (4) (2021)
Martin Savc, Ales Holobar
Non-Negative Matrix Factorization of Simulated High Density Surface Electromyograms Reflects Both Muscle Excitation and Muscle Shortening. IEEE Access 9 (2021)
Aljaz Francic, Ales Holobar
On the Reuse of Motor Unit Filters in High Density Surface Electromyograms Recorded at Different Contraction Levels. IEEE Access 9 (2021)
Deren Y. Barsakcioglu, Mario Bräcklein, Ales Holobar, Dario Farina
Control of Spinal Motoneurons by Feedback From a Non-Invasive Real-Time Interface. IEEE Trans. Biomed. Eng. 68 (3) (2021)
Alexander Kenneth Clarke, Seyed Farokh Atashzar, Alessandro Del Vecchio, Deren Y. Barsakcioglu, Silvia Muceli, Paul Bentley, Filip Urh, Ales Holobar, Dario Farina
Deep Learning for Robust Decomposition of High-Density Surface EMG Signals. IEEE Trans. Biomed. Eng. 68 (2) (2021)
Yuichi Nishikawa, Kohei Watanabe, Ales Holobar, Tetsuya Takahashi, Noriaki Maeda, Hirofumi Maruyama, Shinobu Tanaka, Allison S. Hyngstrom
Association between the Degree of Pre-Synaptic Dopaminergic Pathway Degeneration and Motor Unit Firing Behavior in Parkinson's Disease Patients. Sensors 21 (19) (2021)
Matej Kramberger, Ales Holobar
On the Prediction of Motor Unit Filter Changes in Blind Source Separation of High-Density Surface Electromyograms During Dynamic Muscle Contractions. IEEE Access 9 (2021)
Bozidar Potocnik, Jurij Munda, Milan Reljic, Ksenija Rakic, Jure Knez, Veljko Vlaisavljevic, Gasper Sedej, Boris Cigale, Ales Holobar, Damjan Zazula
Public database for validation of follicle detection algorithms on 3D ultrasound images of ovaries. Comput. Methods Programs Biomed. 196 (2020)
Ales Holobar, Aljaz Francic
Motor unit filter prelearning strategies for decomposition of compound muscle action potentials in high-density surface electromyograms. EMBC (2020)
Filip Urh, Damjan Strnad, Alex Clarke, Dario Farina, Ales Holobar
On the Selection of Neural Network Architecture for Supervised Motor Unit Identification from High-Density Surface EMG. EMBC (2020)
MohammadReza Mohebian, Hamid R. Marateb, Saeed Karimimehr, Miquel Angel Mañanas, Jernej Kranjec, Ales Holobar
Non-invasive Decoding of the Motoneurons: A Guided Source Separation Method Based on Convolution Kernel Compensation With Clustered Initial Points. Frontiers Comput. Neurosci. 13 (2019)
M. Savc, Vojko Glaser, Ales Holobar
On the Impact of Muscle Shortening on Non-Negative Matrix Factorization of Dynamic Surface Electromyograms. EMBC (2018)
Vojko Glaser, Dario Farina, Ales Holobar
Simulations of high-density surface electromyograms in dynamic muscle contractions. EMBC (2017)
Bozidar Potocnik, Ales Holobar
A new optical flow model for motor unit conduction velocity estimation in multichannel surface EMG. Comput. Biol. Medicine 83 (2017)
M. Savc, Vojko Glaser, Ales Holobar, Imre Cikajlo, Zlatko Matjacic
Comparison of non-negative matrix factorization and convolution kernel compensation in surface electromyograms of forearm muscles. CISP-BMEI (2017)
Vojko Glaser, Ales Holobar
On the impact of spike segmentation on motor unit identification in dynamic surface electromyograms. EMBC (2017)
Vojko Glaser, Ales Holobar
Impact of motor unit action potential components on the motor unit identification from dynamic high-density surface electromyograms. NER (2017)
Petra Povalej Brzan, Juan Alvaro Gallego, Juan P. Romero, Vojko Glaser, Eduardo Rocon, Julián Benito-León, F. Bermejo-Pareja, I. J. Posada, Ales Holobar
New Perspectives for Computer-Aided Discrimination of Parkinson's Disease and Essential Tremor. Complex. 2017 (2017)
Dario Farina, Ales Holobar
Characterization of Human Motor Units From Surface EMG Decomposition. Proc. IEEE 104 (2) (2016)
Xiaoyan Li, Ales Holobar, Marco Gazzoni, Roberto Merletti, William Zev Rymer, Ping Zhou
Examination of Poststroke Alteration in Motor Unit Firing Behavior Using High-Density Surface EMG Decomposition. IEEE Trans. Biomed. Eng. 62 (5) (2015)
Tamas Kapelner, Ning Jiang, Ivan Vujaklija, Oskar C. Aszmann, Ales Holobar, Dario Farina
Classification of motor unit activity following targeted muscle reinnervation. NER (2015)
Dario Farina, Ales Holobar
Human-Machine Interfacing by Decoding the Surface Electromyogram [Life Sciences]. IEEE Signal Process. Mag. 32 (1) (2015)
Sebastijan Sprager, Ales Holobar, Damjan Zazula
Feasibility Study of Heartbeat Detection from Optical Interferometric Signal by using Convolution Kernel Compensation. BIOSIGNALS (2013)
Rok Istenic, Francesco Negro, Ales Holobar, Damjan Zazula, Dario Farina
Surface EMG pre-processing techniques for the detection of common input to motor neuron populations. BMEI (2013)
Petra Povalej Brzan, Vojko Glaser, Simon Zelic, Juan Alvaro Gallego, Juan Pablo Romero Muñoz, Ales Holobar
On the Impact of Pathological Tremor Intensity on Noninvasive Characterization of Motor Unit Discharge Properties. NEUROTECHNIX (2013)
Juan Alvaro Gallego, Jakob Lund Dideriksen, Ales Holobar, Juan P. Romero, José Luis Pons, Eduardo Rocon, Dario Farina
Motor Unit Properties and Underlying Determinants in Pathological Tremor. NEUROTECHNIX (2013)
Juan Alvaro Gallego, Jakob Lund Dideriksen, Dario Farina, Eduardo Rocon, Ales Holobar, José Luis Pons
A modelling study on transmission of the central oscillator in tremor by a motor neuron pool. EMBC (2011)
Matjaz Divjak, Damjan Zazula, Ales Holobar
Assessment of artefact suppression by ICA and spatial filtering on reduced sets of EEG signals. EMBC (2011)
Ales Holobar, Vojko Glaser, Juan Alvaro Gallego, Jakob Lund Dideriksen, Dario Farina
Noninvasive analysis of motor unit behavior in pathological tremor. EMBC (2011)
Ales Holobar, Matjaz Divjak, Iztok Prelog, Dean Korosec, Damjan Zazula
A distributed virtual reality-based system for neonatal decision-making training. Comput. Appl. Eng. Educ. 15 (4) (2007)
Ales Holobar, Damjan Zazula
Gradient Convolution Kernel Compensation Applied to Surface Electromyograms. ICA (2007)
Ales Holobar, Matjaz Divjak, Dean Korosec, Damjan Zazula
Training scenario prototyping for VR-based simulation of neonatal decision-making. Comput. Appl. Eng. Educ. 15 (4) (2007)
Ales Holobar, Damjan Zazula
Multichannel Blind Source Separation Using Convolution Kernel Compensation. IEEE Trans. Signal Process. 55 (9) (2007)
Damjan Zazula, Ales Holobar, Matjaz Divjak
Convolution Kernel Compensation Applied to 1D and 2D Blind Source Separation. SIGMAP (2006)
Ales Holobar, Milan Ojstersek, Damjan Zazula
Distributed Jacobi Joint Diagonalization on Clusters of Personal Computers. Int. J. Parallel Program. 34 (6) (2006)
Damjan Zazula, Ales Holobar
An approach to surface EMG decomposition based on higher-order cumulants. Comput. Methods Programs Biomed. 80 (Supplement-1) (2005)
D. Korocsec, Ales Holobar, Matjaz Divjak, Damjan Zazula
Building interactive virtual environments for simulated training in medicine using VRML and Java/JavaScript. Comput. Methods Programs Biomed. 80 (Supplement-1) (2005)
Ales Holobar, Damjan Zazula
Blind Deconvolution of Close-to-Orthogonal Pulse Sources Applied to Surface Electromyograms. ICA (2004)
Ales Holobar, Damjan Zazula
A novel approach to convolutive blind separation of close-to-orthogonal pulse sources using second-order statistics. EUSIPCO (2004)
Zvonko Fazarinc, Sasa Divjak, Dean Korosec, Ales Holobar, Matjaz Divjak, Damjan Zazula
Quest for effective use of computer technology in education: From natural sciences to medicine. Comput. Appl. Eng. Educ. 11 (3) (2003)
Ales Holobar, Cédric Févotte, Christian Doncarli, Damjan Zazula
Single autoterms selection for blind source separation in time-frequency plane. EUSIPCO (2002)
Dean Korosec, Ales Holobar, Matjaz Divjak, Damjan Zazula
Dynamic VRML for Simulated Training in Medicine. CBMS (2002)