Ales Holobar

Aleš Holobar (M'98) received the Ph.D. degree in computer science from the Faculty of Electrical Engineering and Computer Science (FEECS), University of Maribor (UM), Slovenia, in 2004. From 2005 to 2008, he was with the Laboratory of Engineering of Neuromuscular System and Motor Rehabilitation at Politechnico di Torino, Italy. Since 2009, he has been an Associate Professor at FEECS, University of Maribor. His main research interests include statistical signal processing, compound signal decomposition, identification of multidimensional systems and biomedical imaging with current activities focused on surface electromyography and biomedical signal processing.

Associated articles

TNSRE, Featured Articles
The Extraction of Neural Information from the Surface EMG for the Control of Upper-Limb Prostheses: Emerging Avenues and Challenges
Farina, D. ; Jiang, N. ; Rehbaum, H. ; Holobar, A. ; Graimann, B. ; Dietl, H. ; Aszmann, O.C. Abstract Despite not recording directly from neural cells, the surface electromyogram (EMG) signal contains information on the neural drive to muscles, i.e,... Read more
TNSRE, Featured Articles
Estimation of muscle co-activations in wrist rehabilitation after stroke is sensitive to motor unit distribution and action potential shapes
We evaluated different muscle excitation estimation techniques, and their sensitivity to Motor Unit (MU) distribution in muscle tissue. For this purpose, the Convolution Kernel Compensation (CKC) method was used to identify the MU spike trains from High-Density ElectroMyoGrams (HDEMG). Afterwards,... Read more