Research activities

The laboratory is involved in basic research connected to biomedical signal and imaging data. The main research goals are summarized as following:

  • Understanding and describing the physiological phenomena.

  • Use of the computer in modeling and understanding of physiologic relationships.

  • Locally and remotely monitoring physiologic events, graphically displayed anatomic details and physiologic functions, visualizing and representing biomedical signal and imaging data.

  • Developing standardized databases to study physiologic mechanisms and to evaluate performance and robustness of recognition techniques.

  • Characterizing data, and establishing the detection criteria and recognition techniques to automatize as much as possible the analysis of bioelectric patterns, examinations, procedures, and medical practice, in order to improve the quality and reliability of the examinations.

  • Interpret the data and the results qualitatively and quantitatively.

  • Develop performance measures and protocols to evaluate detection techniques.

  • develop biomedical information technologies and software,

  • dynamic web-interface creation,

  • responsive web design,

  • responsive information visualization.

The main research topics are following:

  • The development and evaluation of recognition algorithms for accurately detecting transient ischaemic events and classifying true ischaemic events from non-ischaemic events in biomedical signal data using the LTST DB (Long-Term ST Database) of human-expert annotated ambulatory electrocardiogram (ECG) records.

  • Maintaining and updating the standardized international reference-annotated ECG database LTST DB. The database is result of a multinational research effort and contains 86 24-hour ambulatory recordings with a number of human-expert annotated transient ischaemic and non-ischaemic ST events. The database is intended to serve as a reference set in evaluating the performance of ST analysers, and as a reference set to study physiologic mechanisms responsible for ischaemia. From 2007 the database is publicly available. See:

  • The development of interactive graphic user interface editing tools (SEMIA – semi-automatic) to visualize, display and annotate long-term electrocardiograms. SEMIA, version 3.0.1, to view diagnostic and morphology feature-vector time series, and to examine the human annotations to the LTST DB is under GNU General Public License and is available at:

  • The characterization of the temporal patterns of transient ischaemic events and time-frequency representations of diagnostic parameters in ambulatory ECG signals. The goals are to differentiate physiologic mechanisms generating ischaemia and predicting impending ischaemia.

  • The interactive graphic tool EVAL_ST, used to evaluate the performance and robustness of ischaemia analysers. The tool is under GNU General Public License and is available at:

  • The comparison of various linear and non-linear signal processing techniques to separate uterine electromyogram (EMG) records of term and pre-term delivery groups with the final goal to predict pre-term delivery.

  • The development, maintaining and updating of the Term-Preterm ElectroHysteroGram Database (TPEHG DB). The database contains 300 30-minute electrohysterogram (EHG) records of pregnancies which ended with term or pre-term delivery and were recorded either early or later in pregnancy. The database is intended to serve as a reference set for developing automated techniques to predict preterm birth. The TPEHG DB is available at:

  • Quantitative assessment of autofluorescence in retinal images and assessing dystrophy.

  • The Laboratory supports a Web mirror site (http://physionet.fri.uni-lj.si) for a part of Europe to the PhysioNet Web site (http://www.physionet.org). PhysioNet offers free access via the Web to large collections of recorded physiologic signals and related open-source software.

  • Development of a framework for dynamic creation of web-interfaces intended for data collection and management. The framework requires a person oriented data structure, which is relatively common in various areas. This requirement introduces some restrictions to the structure of the data but as a trade-off allows users with little or even no programming skills to setup and use the framework for person related data collection in different fields.

  • Applying, researching, and improving techniques for responsive design of web-interfaces. Different possible approaches of making components of web web-interfaces flexible are examined with the aim of enabling web web-interfaces to adapt to the characteristics of the display devices.

  • Researching and implementing techniques for responsive information visualization. For a web-interfaces with embedded information visualization that aims to be truly responsive, the visualization itself also has to be responsive. The principles of responsive web-design are employed using different approaches to make different information visualizations responsive.


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SEMIA, version 3.0, semi-automatic interactive graphic editing tool to annotate ambulatory ECG records.