- Sven Loncaric and Drazen Begic, project leaders
- Marko Subasic
- Biljana Kosanovic
- Faculty of Electrical Engineering and Computing, University of Zagreb, Croatia
- University Hospital Rebro, University of Zagreb, Croatia
The ongoing research project started in 2011.
Analysis of Electroencephalography (EEG) signals is a standard procedure in for detection of many sorts of problems associated with brain function. EEG measures spatially located electrical activity of the brain by measuring differences of electrical potentials between electrodes located on the head. The graphical representation of electrical potential differences over time is called Electroencephalogram, and physicians use these signals or wave patterns to detect various disorders. Any detectable disorder will manifest as a deviation from the normal wave patterns, and certain medical conditions produce different types of deviations. Alongside visual evaluation of EEG signals, computer based digital signal analysis and processing techniques can also be used. Such techniques provide means for automatic, fast and reliable detection of abnormal EEG patterns, and their quantitative analysis.
The overall objective of the research project is discrimination between aggressive and non-aggressive variants of PTSP disorder. We are trying to find significant features in EEG signals that can be used to discriminate two PTSP variants and to construct a detection and discrimination algorithm. The research efforts are directed toward characteristic wave pattern analysis in time frequency domain. The primary focus is on the use of wavelet transform and its different variants. Evaluation and testing of the methods to be developed will be performed on real patient EEG signals.