Ales Holobar

According to our database1, Ales Holobar authored at least 42 papers between 2002 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2021
Deep Learning for Robust Decomposition of High-Density Surface EMG Signals.
IEEE Trans. Biomed. Eng., 2021

Control of Spinal Motoneurons by Feedback From a Non-Invasive Real-Time Interface.
IEEE Trans. Biomed. Eng., 2021

Noninvasive Neural Interfacing With Wearable Muscle Sensors: Combining Convolutive Blind Source Separation Methods and Deep Learning Techniques for Neural Decoding.
IEEE Signal Process. Mag., 2021

Association between the Degree of Pre-Synaptic Dopaminergic Pathway Degeneration and Motor Unit Firing Behavior in Parkinson's Disease Patients.
Sensors, 2021

Non-Negative Matrix Factorization of Simulated High Density Surface Electromyograms Reflects Both Muscle Excitation and Muscle Shortening.
IEEE Access, 2021

On the Prediction of Motor Unit Filter Changes in Blind Source Separation of High-Density Surface Electromyograms During Dynamic Muscle Contractions.
IEEE Access, 2021

On the Reuse of Motor Unit Filters in High Density Surface Electromyograms Recorded at Different Contraction Levels.
IEEE Access, 2021

2020
Public database for validation of follicle detection algorithms on 3D ultrasound images of ovaries.
Comput. Methods Programs Biomed., 2020

On the Selection of Neural Network Architecture for Supervised Motor Unit Identification from High-Density Surface EMG.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Motor unit filter prelearning strategies for decomposition of compound muscle action potentials in high-density surface electromyograms.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019
Non-invasive Decoding of the Motoneurons: A Guided Source Separation Method Based on Convolution Kernel Compensation With Clustered Initial Points.
Frontiers Comput. Neurosci., 2019

2018
On the Impact of Muscle Shortening on Non-Negative Matrix Factorization of Dynamic Surface Electromyograms.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017
New Perspectives for Computer-Aided Discrimination of Parkinson's Disease and Essential Tremor.
Complex., 2017

A new optical flow model for motor unit conduction velocity estimation in multichannel surface EMG.
Comput. Biol. Medicine, 2017

Impact of motor unit action potential components on the motor unit identification from dynamic high-density surface electromyograms.
Proceedings of the 8th International IEEE/EMBS Conference on Neural Engineering, 2017

On the impact of spike segmentation on motor unit identification in dynamic surface electromyograms.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

Simulations of high-density surface electromyograms in dynamic muscle contractions.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

Comparison of non-negative matrix factorization and convolution kernel compensation in surface electromyograms of forearm muscles.
Proceedings of the 10th International Congress on Image and Signal Processing, 2017

2016
Characterization of Human Motor Units From Surface EMG Decomposition.
Proc. IEEE, 2016

2015
Examination of Poststroke Alteration in Motor Unit Firing Behavior Using High-Density Surface EMG Decomposition.
IEEE Trans. Biomed. Eng., 2015

Human-Machine Interfacing by Decoding the Surface Electromyogram [Life Sciences].
IEEE Signal Process. Mag., 2015

Classification of motor unit activity following targeted muscle reinnervation.
Proceedings of the 7th International IEEE/EMBS Conference on Neural Engineering, 2015

2013
Motor Unit Properties and Underlying Determinants in Pathological Tremor.
Proceedings of the International Congress on Neurotechnology, Electronics and Informatics, 2013

On the Impact of Pathological Tremor Intensity on Noninvasive Characterization of Motor Unit Discharge Properties.
Proceedings of the International Congress on Neurotechnology, Electronics and Informatics, 2013

Surface EMG pre-processing techniques for the detection of common input to motor neuron populations.
Proceedings of the 6th International Conference on Biomedical Engineering and Informatics, 2013

Feasibility Study of Heartbeat Detection from Optical Interferometric Signal by using Convolution Kernel Compensation.
Proceedings of the BIOSIGNALS 2013, 2013

2011
Noninvasive analysis of motor unit behavior in pathological tremor.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

A modelling study on transmission of the central oscillator in tremor by a motor neuron pool.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

Assessment of artefact suppression by ICA and spatial filtering on reduced sets of EEG signals.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

2007
Multichannel Blind Source Separation Using Convolution Kernel Compensation.
IEEE Trans. Signal Process., 2007

A distributed virtual reality-based system for neonatal decision-making training.
Comput. Appl. Eng. Educ., 2007

Training scenario prototyping for VR-based simulation of neonatal decision-making.
Comput. Appl. Eng. Educ., 2007

Gradient Convolution Kernel Compensation Applied to Surface Electromyograms.
Proceedings of the Independent Component Analysis and Signal Separation, 2007

2006
Distributed Jacobi Joint Diagonalization on Clusters of Personal Computers.
Int. J. Parallel Program., 2006

Convolution Kernel Compensation Applied to 1D and 2D Blind Source Separation.
Proceedings of the SIGMAP 2006, 2006

2005
An approach to surface EMG decomposition based on higher-order cumulants.
Comput. Methods Programs Biomed., 2005

Building interactive virtual environments for simulated training in medicine using VRML and Java/JavaScript.
Comput. Methods Programs Biomed., 2005

2004
Blind Deconvolution of Close-to-Orthogonal Pulse Sources Applied to Surface Electromyograms.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

A novel approach to convolutive blind separation of close-to-orthogonal pulse sources using second-order statistics.
Proceedings of the 2004 12th European Signal Processing Conference, 2004

2003
Quest for effective use of computer technology in education: From natural sciences to medicine.
Comput. Appl. Eng. Educ., 2003

2002
Single autoterms selection for blind source separation in time-frequency plane.
Proceedings of the 11th European Signal Processing Conference, 2002

Dynamic VRML for Simulated Training in Medicine.
Proceedings of the 15th IEEE Symposium on Computer-Based Medical Systems (CBMS 2002), 2002


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