Faculty of Electrical Engineering and Computer Science System Software Laboratory University of Maribor

Number: GA No. 101079392
Project leader: Prof. Aleš Holobar
Duration: Jan. 1st, 2023 – Dec. 31th, 2025
Financed by: Horizon Europe - Research and innovation funding programme
HybridNeuro project combines the expertise of leading European partners in the field of Neural Interfaces to set up a new pathways of analyzing human motor system and human movements and transfer the academic research into clinical and industrial practice.

Decomposition of compound muscle action potentials
Number: ARRS, CMAP (J2-1731)
Project leader: Prof. Dr. Aleš Holobar
Duration: Jul. 1st, 2019 – Jun. 30th, 2022
Financed by: Slovenian Research Agency (ARRS)
In cooperation with the experts from the Medical Faculty at University of Maribor and Science and Research Centre Koper we are developing new computer-aided techniques for analysis of compound muscle action potentials, recorded by surface electromyograms and their decomposition into contributions of individual motor units.

Number: ARRS, BI-US/18-19-037
Project leader: Prof. Dr. Aleš Holobar
Duration: Jan. 1st, 2018 – Dec. 31th, 2019
Financed by: Slovenian Research Agency (ARRS)
In this bilateral project, surface EMG methodology developed at the University of Maribor has been applied to investigate the main characteristics of muscle excitations in hemiparetic stroke subjects, recruited by Shirley Ryan AbilityLab, Chicago, USA.

Observation of appearance and physiological parameters in elderly to assess the aptness of their independent living
Number: ARRS, BI-BA/16-17-026
Project leader: Assoc. Prof. Dr. Božidar Potočnik
Coworkers: Prof. Dr. Damjan Zazula, Martin Šavc
Duration: Jan. 1, 2016 – Dec. 31, 2017
Financed by: Slovenian Research Agency (ARRS)
Within this research project, we are dealing with the design, evaluation and implementation of a system able to detect the human vital signs using only facial video information coming from a standard handheld device camera.

Exact quantification of muscle control strategies and co-activation patterns in robot-assisted rehabilitation of hemiparetic patients
Code: ARRS J2-7357,
Project leader: Prof. Dr. Aleš Holobar
Coworkers: Prof. dr. Damjan Zazula, Assoc. Prof. Dr. Božidar Potočnik, Asst. Prof. Dr. Danilo Korže, Dr. Boris Cigale, Dr. Vojko Glaser, Martin Šavc, B.Sc., Jurij Munda, B.Sc.
Project duration: Jan. 1, 2016 - Dec. 12, 2018
Financed by: Slovenian Research Agency (ARRS)
Basic research project MIO-A started in collaboration with University Rehabilitation Institute of Republic of Slovenia – SOČA. This three-year project aims to introduce and validate unique assessment of muscle activities during robot-assisted rehabilitation of hemiparetic patients and is funded by Slovenian Research Agency.

Observation of appearance and physiological parameters in elderly to assess the aptness of their independent living
Number: ARRS, BI-IN/15-17-007
Project leader: Assoc. Prof. Dr. Božidar Potočnik
Coworkers: Prof. Dr. Damjan Zazula, Dr. Boris Cigale, Martin Šavc, B.Sc., Jernej Kranjec, ME
Duration: Jan. 1, 2015 - Dec. 31, 2017
Financed by: Slovenian Research Agency (ARRS)
Ageing population and limited healthcare budgets call for new paradigms and more efficient healthcare and medical services. Within this research project, we are dealing with unobtrusive observations of human vital functions by using intelligent sensors and video devices. Sensor measurements are combined with the information extracted from the videos in order to determine the aptness of observed person for independent living.

Definition of non-invasive marker for skeletal muscle atrophy: from validation to application
Number: ARRS, L5-5550
Coordinator: Dr. Boštjan Šimunič
Project leader: Assoc. Prof. Dr. Aleš Holobar
Coworkers: Prof. Dr. Damjan Zazula, Dr. Mitja Gerževič, Dr. Mihaela Jurdana, Katja Koren, Štefan Mally, Uroš Marušič, Dr. Nina Mohorko, Dr. Rado Pišot, Dr. Nejc Šarabon
Duration: Aug. 1, 2013 – July 31, 2016
Financed by: Slovenian Research Agency (ARRS)
Muscle atrophy is a well-known phenomenon that defines the loss of muscle mass as a result of illness or injury, unbalanced diet or lack of physical activity. Despite the growing number of researches exploring the findings of muscle atrophy and analyzing its implications, there are still many unresolved issues, especially in terms of objective indicators, methods and procedures of its assessment. The main objective of this project is to define and develop non-invasive procedures for assessment of skeletal muscle atrophy and hypertrophy based on the mechanical response thickening, movement and vibration of muscle fibbers as well as neuromuscular electrical activity.

NeuroTREMOR: A novel concept for support to diagnosis and remote management of tremor
Number: FP7-ICT-2011.5.1-287739
Coordinator: Assoc. Prof. Dr. Aleš Holobar
Coworkers: Asst. Prof. Dr. Petra Povalej Brežan, Vojko Glaser, MSc, Dr. Matjaž Divjak, Dr. Darko Štern, Simon Zelič
Duration: Feb. 1, 2012 – Jan. 31, 2015
Financed by: European Commision (EC)
Essential and Parkinsonian rest tremor are the most frequent movement disorders that hamper independent life of about 9 % of people above the age of 50. They are also among the most commonly misdiagnosed neurologic disorders. About 30 % of patients diagnosed with essential tremor, for example, do actually not suffer from this disorder. The main objective of the NeuroTREMOR project is to design and validate a novel computer-aided system for understanding, diagnosing and remotely managing tremor.

qFATIGUE - Quantification of mental fatigue by means of visual and physiological measures
Number: FP7-PEOPLE-2010-RG
Coordinator: Prof. Dr. Damjan Zazula
Coworker: Dr. Matjaž Divjak, Prof. Dr. Aleš Holobar, Prof. Dr. Dario Farina
Duration: Oct. 1, 2011 – Sept. 30, 2014
Financed by: European Commission (EC)
The qFATIGUE project deals with multimodal biofeedback interface for extraction of mental fatigue indicators. It stems from the video and EEG-based monitoring of rehabilitation patients during their daily exercise, in order to improve the understanding and assessment of motivation during rehabilitation.

CC BME - Competency Center for Biomedical Engineering
Project: SAMinZDRAV
Connected Home Devices in Support of Independent and Healthy Living
Number: 430-90/2010/24
Coordinator: Prof. Dr. Damjan Zazula
Coworkers at FEECS, Maribor: Dr. Karl Benkič, Vedran Budinski, Dr. Boris Cigale,Dr. Matjaž Divjak, Leon Dvoršak, Ddr. Denis Đonlagić, Vojko Glaser,MSc, Jernej Kranjec, Primož Kranjec, Matjaž Lenič, Dejan Lešnik, Dr. Matjaž Linec, Matej Mašat, Matic Merkač, Uroš Mlakar, Cvetko Pirš, Dr. Peter Podbreznik, Dr. Božidar Potočnik, Martin Šavc, Dr. Smiljan Šinjur, Jernej Škrabec, Dr. Sebastijan Šprager, Dr. Darko Štern  Coworkers at Gorenje, Velenje: Simon Kotnik MSc, Boštjan Pečnik, Zlatko Pirtovšek, Dr. Konrad Steblovnik, Dejan Usar 
Coworkers at University Rehabilitation Institute Soča, Ljubljana: Dr. Imre Cikajlo, Dr. Tatjana Erjavec, Dr. Nika Goljar, Julija Ocepek 
Coworkers at SETCCE, Ljubljana: Matjaž Pihler, Jan Porekar
Duration: Dec. 15, 2010 – Dec. 31, 2013
Financed by: European Regional Development Fund
A joint project entitled Connected Home Devices in Support of Independent and Healthy Living was completed within the framework of the Competence Centre of Biomedical Engineering (CC BME). Our research partners were the Gorenje company from Velenje, University Rehabilitation Institute Soča and as a subcontractor the SETCCE company from Ljubljana. The project goal was a development of unobtrusive, ambient-assisted sensors for monitoring functional-health parameters in dwelling environments. The sensors are built in household appliances, their handles, doorknobs, bathroom mirrors, beds, carpets, slippers. Automated measurements and analyses are provided for the heartbeat, cardiac arrhythmias, electrocardiogram, respiration curve, blood oxygenation and pressure, skin and cornea colour, stabilogram and poise, gait and physical condition.

BETTER - Brain-Neural Computer Interaction for Evaluation and Testing of Physical Therapies in Stroke Rehabilitation of Gait Disorders.
Number: FP7-ICT-2009-4-247935
Coordinator: Assoc. Prof. Dr. Aleš Holobar
Coworkers: Dr. Matjaž Divjak, Dr. Rok Istenič, Simon Zelič
Duration: Aug. 1, 2011 – Jan. 31, 2013
Financed by: European Commision (EC)
Impaired walking ability makes stroke patients more susceptible to injury and significantly affects their quality of life. Currently, most promising interventions to restore walking function are based on robotic systems that intend to restore function by focusing on actions at periphery of the body (a BOTTOM-UP approach). It is not clear how effective these treatments are and a major problem is patient's non-compliance. The main goals of BETTER project are to improve stroke rehabilitation with the robotic gait trainers that exert physical stimulation of lower limbs as a function of targeted neural activation patterns. The latter are assessed by advanced Brain/Neural Computer Interfaces (BNCI). This TOP-DOWN therapeutic treatment encourages reorganisation of the affected brain structures to improve motor functions.

iMOVE - Extraction of information on muscle control during movements
Number: FP7-PEOPLE-ERG-2008-239216
Coordinator: Prof. Dr. Damjan Zazula
Coworker: Assoc. Prof Dr. Aleš Holobar
Duration: Feb. 1, 2009 – Jan. 31, 2012
Financed by: European Commision (EC)
The main objectives of the iMOVE project were to design automated signal processing techniques capable of extracting individual motor unit firing patterns from dynamic surface electromyograms. The latter were recorded during controlled dynamic contractions of skeletal muscles in order to study the feasibility, efficiency and repeatability of motor unit assessment during movements.

TREMOR: An extension of the project for BCI-driven tremor suppression system based on functional electrical stimulation
Number: FP7-ICT-2007-224051
Coordinator: Assoc. Prof. Dr Aleš Holobar
Coworkers: Prof. Dr Damjan Zazula, Dr Matjaž Divjak, Dr. Rok Istenič
Duration: May 2010 - May 2011
Financed by: European Commision (EC)
Tremor is the most common movement disorder and it is strongly increasing in incidence and prevalence with ageing. It is typically managed by means of drugs, surgery and deep brain stimulation, but treatments are not effective in approximately 25% of patients. The main objective of the TREMOR project is to validate, technically, functionally and clinically, the concept of mechanical suppression of pathological tremor based on a BCI-driven (Brain-to-Computer Interaction) detection of involuntary (tremor) motor activity. The extracted information is used to drive a biomechanical suppression of tremor through selective multichannel Functional Electrical Stimulation (FES).

Number: J3-0674
Coordinator: Prof. Dr. Veljko Vlaisavljević (UKC Maribor)
Coworkers: Prof. Dr. Damjan Zazula, Asst. Prof. Dr. Boris Cigale, Dr. Smiljan Šinjur, Vojko Glaser, MSc
Duration: Feb. 2008 - Jan. 2011
Financed by: Slovenian Research Agency (ARRS)
Our research aimed at echographic monitoring of the dominant follicle growth, its luteinisation and the corpus luteum development. The main objective was to entirely automate the ultrasound image processing in order to unburden the medical experts. The hardware and software developed support saving of every examination data from the ultrasound machine to a USB stick. The transferred data are processed off-line on a personal computer, afterwards, and the results written to a database for further statistical analysis. We confirmed experimentally that our computer application determines location, volume, and diameter of veins that surround the follicle in a 3D ultrasound image. Follicle detection was implemented by wavelet transform to get rid of noise as much as possible. The underlying analytical model was improved throughout the experiments. The found location and size of dominant follicle pointed out the area of perifollicular veins that were assessed statistically. Due to low resolution of the veins based on power Doppler detections, we introduced a special procedure to refine the veins reconstruction by embedded trees. We also introduced elastic registration of ultrasound volumes, which enabled us to follow the follicle growth during several days. All these methods were coded in personal-computer software and linked with an ultrasound machine.

Number: V4-0537
Coordinator: Assoc. Prof. Dr. Denis Stajnko
Coworkers: Prof. Dr. Damjan Zazula, Dr. Smiljan Šinjur
Duration: Jan. 2008 - Aug. 2010
Financed by: Slovenian Research Agency (ARRS)
This joint project was conducted by the Faculty of Agriculture and Life Sciences and the Faculty of Electrical Engineering and Computer Science at Maribor. The main objective was a computer-based monitoring and forecast of fruit harvest. We investigated the fecundity of apples and pears, while the two species cover 72% of cultivable areas in Slovenia. Previous assessment deployed manual counting of fruits on smaller areas, which resulted in big differences between the forecast and actual harvest. The project development focused on an efficient, simple, and fast system for field data collection, and improvement of the methods and mathematical models of a harvest forecast. The System Software Laboratory took over the design of an application for field data collection, processing, and saving. In 2009, we developed a navigation subsystem that guides the user to the selected plantation is shortest possible way and time. It was implemented by a combination of mobile devices and central data storage. When data are collected by several users simultaneously, these are synchronised on-line by the central system. In 2010, all subsystems and their connections were tested in details. We studied accuracy of three GPS modules and their repeatability in re-tracing the same locations. The best trade-off was found in a mobile phone ASUS P565 whose accuracy manifested at about 10 meters. This was not enough to locate single trees, but was enough to position the rows of trees.

High-Density Surface EMG for Advanced Neuromuscular Modelling
Number: BI-FR/08-09-PROTEUS-013
Coordinator: Prof. Dr. Damjan Zazula
Coworkers: Dr. Rok Istenič, Dr. Sebastijan Šprager
Duration: Jan. 1, 2008 – Dec. 31, 2009
Financed by: Slovenian Research Agency (ARRS)
The objective of this biannual bilateral project was to strengthen the bonds among the researchers at Maribor and Troyes in France and to conduct joint research in the field of surface electromyography. A young researcher, Rok Istenič, talked at the Technical University of Troyes about his investigations on the activity index and its deployment in multi-observational signal-source count. Researchers in Troyes explained the estimation of the number of sources by the probabilistic methods. Also Prof. Damjan Zazula paid a visit to French partners during the exhibition of joint scientific achievements on the independent living in “City of Science”. Prof. David Hewson from the Technical University of Troyes visited the System Software Laboratory of Maribor in order to specify a joint research involving accelerometers in mobile phones and optic-fibre interferometers. Common research was performed during the visit of a young researcher, Sebastijan Šprager, at Troyes and the results were published in a few conference papers.

Povezljivi gospodinjski aparati
Project leader: Prof. Dr. Damjan Zazula
Coworkers: Dr. Smiljan Šinjur, Vojko Glaser, MSc, Denis Justinek
Duration: 2007
Financed by: Laboratory funds
The Gorenje Company from Velenje developed a system of connected household appliances accessible via a computer server. Special communication protocols are used to check the status of appliances and to control their operation remotely. A mobile application was developed in the System Software Laboratory to communicate with the appliances by a mobile device. A demo follows that depicts such a remote control and setting of an oven by a mobile phone.

slika slika
Project leader: Prof. Dr. Damjan Zazula
Co-worker: Jurij Rakun
Duration: between March and Sept. 2005
Financed: laboratory funding
The Henkel Slovenia company at Maribor was looking for a computer-assisted solution for detecting errors in their regular printed matters purchased at different printing companies. The errors and inferior-quality print on the product stickers and instructions were searched manually at that time. We developed a software application that compares the verified document with its referential image. In the first step, the two images are roughly registered by shifting their centres of gravity and a multiresolutional rotation. A fine, elastic registration is used afterwards to overlay the images as precisely as possible. Finally, pixel-based differences exceeding a statistically estimated threshold point out the locations where the verified printed matters differ from the reference. The developed application proved effective and accurate, nevertheless it was never used in production as Henkel was not willing to refund even a minimum amount of the development costs.

Simbio: A Generic Environment for Bio-numerical Simulation
Number: IST-1999-10378
Principal investigator: Assoc. Prof. Dr. Božidar Potočnik
Coworkers: Prof. Dr. Damjan Zazula, Asst. Prof. Dr. Boris Cigale, Dr. Dušan Heric, Danijel Bernad
Second Slovenian partner: University Medical Centre of Maribor (Dr. Tomaž Tomažič, Prim. Dr. Jože Matela, Prof. Dr. Vojko Flis)
Duration: 2002 to 2003
Financed by: European Union within the 5th Framework Research Programme
From 2002 to 2003, the System Software Laboratory team participated in a research project of the 5th European Framework Programme. The main project goal was to develop a generic environment for bio-numeric simulations of human knees. Under the co-ordination of the NEC company from Germany, we joined the consortium in 2002. Our contributions tackled computer simulation models of the knees and their kinematics. Knees of several volunteers were scanned by magnetic resonance (MR) under different forces pressing against their feet. To measure the forces, a special non-metallic device had to be developed. An optic-fibre solution was found by the colleagues from the Electro-Optic and Sensory System Laboratory (Prof. Ddr. Denis Đonlagić, Dr. Edvard Cibula). Our project partners from the University Medical Centre of Maribor (at that time, Teaching Hospital of Maribor) annotated the MR images with a special attention to menisci, cartilage, and cruciate ligaments. This was the basis for our 3D computer final-element models used later on for studying the knee kinematics under the different injuries and modifications of the menisci.

Coordinator: Prof. Dr. Damjan Zazula
Coworkers: Asist. Prof. Dr. Božidar Potočnik, Boris Cigale, MSc, Jurij Munda
External coworkers: Bogdan Viher, MSc, Prof. Dr. Veljko Vlaisavljević, Nicolas Sergent (Ecole Centrale de Nantes, France)
Duration: Between 1996 and 2000
Financed by: Laboratory funds
Prof. Vlaisavljević from the Teaching Hospital of Maribor (today’s University Medical Centre), a well-known expert in in-vitro fertilisation, initiated a research on computer-aided analyses of ultrasound images of ovarian follicles. We developed and verified software applications for the detection of follicles in sequences of 2D ovarian images and 3D reconstruction of perifollicular vascularisation.

CoLoS - Conceptual Learning of Science
Coordinator at Maribor: Prof. Dr. Damjan Zazula
Coworkers: Dr. Andrej Šoštarič, Dr. Dean Korošec, Assoc. Prof. Dr. Aleš Holobar, Dr. Matjaž Divjak
Duration: From 1995
Financed by: Laboratory funds
The idea of conceptual learning and its implementation into teaching of physics by computer simulations was brought forth by Professors Zvonko Fazarinc from Palo Alto and Hermann Härtel from Hamburg. With rare enthusiasm and expertise, they drew in many other enthusiasts from all over the United States and Europe first, and elsewhere after a while. In the beginning, HP supported the activity by their computer equipment donations, later on several subprojects emerged based on local funding. We contributed computer simulation programs in the field of medicine, health care, and computer science, which are still hosted by our server, along with Prof. Fazarinc’s applets disclosing the electrical conduction in wires.