Assist. Prof. Alan Jović

Ph.D. in Computer Science

Department of Electronics, Microelectronics, Computer and Intelligent Systems (ZEMRIS)

University of Zagreb, Faculty of Electrical Engineering and Computing (FER)

Unska 3, 10000 Zagreb, Croatia


Google Scholar: Profil

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Research gate: Profil

E-mail: alan.jovic[at]

Room: D340

Phone: +385 1 6129 548

Fax: +385 1 6129 653

EEGFrame : Java-based framework for EEG signal visualization and feature extraction

EEGFrame is an extensive Java-based framework that is used for EEG signal visualization and feature extraction. The framework covers many linear time domain, frequency domain, time-frequency and nonlinear features covered in EEG analysis literature. Its main purpose is to extract features from EEG records that are recorded in EDF format and to store the extracted features as feature vectors (in .csv file) prepared for further knowledge discovery by platforms such as Weka or Rapidminer.
By downloading the framework, the user agrees that the framework is a piece of open-source software written in Java and that the Authors distribute the software under the general public license GPL 2. The users are reminded that the GPL 2 license restricts the commercial use of the software. The user is requested to contact the Authors about the permission to use the framework for commercial purposes.

Current framework version: 0.98 (beta)

.RAR file containing the framework and the research paper that explains it: EEGFrame


  1. Lea Suc, e-mail:
  2. Alan Jovic, e-mail:
  3. Nikola Bogunovic, e-mail:

Scientific paper describing the framework:

A. Jovic, L. Suc, N. Bogunovic, Feature extraction from electroencephalographic records using EEGFrame framework. Proceedings of the 36th International Convention MIPRO 2013, Opatija, Croatia, May 20-24, 2013, P. Biljanovic (Ed.), Rijeka, Croatia : Croatian Society for Information and Communication Technology, Electronics and Microelectronics - MIPRO, pp. 1237-1242, 2013. (PDF)