A Research Group for Applied Signal Analysis (RGASA)

Submitted by moderator_US on Wed, 05/20/2020 - 13:29
University
University of Split
Faculty/school/department
The University of Split, Faculty of Maritime Studies
Size of the team
number of researchers number of supporting staff number of PhD students
3
0
2
Composition of Joint Unit of Research, if relevant

PhD Igor Vujović, Associate Professor, Technical Science, Electrical Engineering, Biomedicine Engineering, Transportation and Maritime,

PhD Maja Rogić Vidaković, Research Associate, Biomedical Science and Social Care, Neuroscience,

PhD Joško Šoda, Assistant Professor, Technical Science, Electrical Engineering, Biomedicine Engineering,

Ivan Pavić, mag. Ing. El., Technical Science, Transport and Maritime, Learning Algorithms, Applied Signal Processing, Raman Spectrum, Sensors, Electrical Engineering,

Miro Petković, mag. Ing. El., Technical Science, Transport and Maritime, Image Processing, Applied Signal Processing, Electrical Engineering,

PI
PI name
Joško Šoda
PI email
jsoda@pfst.hr
PI bio

https://orcid.org/0000-0002-5825-8026

Contact person and e-mail
Contact person
Joško Šoda
Contact person e-mail
jsoda@pfst.hr
Short description of research profile

This multi-disciplinary group uses signal processing methods for analysis in a time, frequency and time-frequency domain in the field of the maritime and biomedicine. The main research interest of the group is a development of applied signal processing algorithms for automatic detection of Motor Evoked Potentials after excitation of brain motor cortex. Also, the group researches problems for detection of various objects on the sea bottom using deep learning algorithms. Besides that, the group investigates image processing algorithms for motion detection in marine ports.

Research area
ENGINEERING AND TECHNOLOGY » Civil engineering » (YR) TRANSPORTATION SCIENCE & TECHNOLOGY
ENGINEERING AND TECHNOLOGY » Electrical eng, electronic eng » (IQ) ENGINEERING, ELECTRICAL & ELECTRONIC
ENGINEERING AND TECHNOLOGY » Medical engineering » (IG) ENGINEERING, BIOMEDICAL
ENGINEERING AND TECHNOLOGY » Other engineering and technologies » (IF) ENGINEERING, MULTIDISCIPLINARY
MEDICAL AND HEALTH SCIENCES
Scientific Themes (keywords)
applied signal processing
image processing
learning algorithms
biomedical processing
EEG
EMG
transportation
maritime
Publications

Representative publications

Rogić Vidaković, Maja; Kostović, Ana; Jerković, Ana; Šoda, Joško; Russo, Mladen; Stella, Maja; Knežić, Ante; Vujović, Igor; Mihalj, Mario; Baban, Jure et al., Using Cutaneous Receptor Vibration to Uncover the Effect of Transcranial Magnetic Stimulation (TMS) on Motor Cortical Excitability // Medical science monitor, 26 (2020), e923166, 9 doi:10.12659/MSM.923166,
Kuzmanić, Ivica; Vujović, Igor; Šoda, Joško; Rogić Vidaković, Maja, Scientific Visualization as a Tool for Signal Processing in EEG Interpretation: Car Driver Sleeping State Detection for Advanced Cars Control Systems // Engineering Design Applications III - Structures, Materials and Processes / Öchsner, Andreas ; Altenbach, Holm(ur.), Cham: Springer Nature Switzerland AG, 2020. str. 31-44 doi:10.1007/978-3-030-39062-4_4,
Kuzmanić, Ivica; Vujović, Igor; Šoda, Joško; Rogić Vidaković, Maja, Signal Analysis and Numerical Method Roles in Neural Interfaces Development // Engineering Design Applications II / Öchsner, A. ; Altenbach, H (ur.). Cham: Springer, 2020. str. 215-229 doi:10.1007/978-3-030-20801-1_16
Rogić Vidaković, Maja; Šoda, Joško; Jerković, Ana; Vujović, Igor; Lorincz, Josip; Zulim, Ivana; Đogaš, ZoranDevelopment of a New Algorithm for Automatic Latency Estimation of Motor Evoked Potentials in TMS studies// Abstracts from the 11th International Symposium on nTMS in Neurosurgery and Neuromodulation Berlin, Njemačka, 2019. str. 9-10
Rogić Vidaković, Maja; Jerković, Ana; Jurić, Tomislav; Vujović, Igor; Šoda, Joško; Erceg, Nikola; Bubić, Andreja; Zmajević Schönwald, Marina; Lioumis, Pantelis; Gabelica, Dragan; Đogaš, Zoran, Neurophysiologic markers of primary motor cortex for laryngeal muscles and premotor cortex in caudal opercular part of inferior frontal gyrus investigated in motor speech disorder: a navigated transcranial magnetic stimulation (TMS) study // Cognitive Processing, 17 (2016), 4; 429-442 doi:10.1007/s10339-016-0766-5,
Technology Expertise

Nexstim, NBS System 4, MATLAB,