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Time-frequency visualizations of records of electromyogram of uterus

Mitja Gros (2016) Time-frequency visualizations of records of electromyogram of uterus. EngD thesis.

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    The goal of the thesis was development of graphical tool for time-frequency visualization and annotating of records of electrohysterogram (EHG) signals. The developed graphical tool Visual Annotating and Analyzing (VisuAA) visualizes EHG signals, their spectra, spectrograms, Wigner-Ville spectrograms, discrete wavelet transform scalograms (DWT), and continuous wavelet transform scalograms (CWT). Spectrograms, Wigner-Ville spectrograms, DWT scalograms and CWT scalograms can be visualized as 2D or 3D graphs. The tool allows saving of visualization results, examination, setting, deleting and editing of clinical and user defined annotations, examining and editing of record information and record header file, record notes, and saving of selected part of the record. The graphic tool VisuAA was developed using NetBeans integrated development environment. During development of graphical user interface we followed Nielsen's principles of graphical user interface design, while the main performance measures were efficiency and usability of the developed graphical tool. Graphical tool is intended for visualization and annotation of records of Term-Preterm EHG Database (TPEHGDB) database, as well as of any other signal records which are stored in the WFDB format. The VisuAA tool is practical and useful toll for development of advanced algorithms and procedures to analyze EHG records.

    Item Type: Thesis (EngD thesis)
    Keywords: Graphical tool, Electrohysterogram, Spectrum, Spectrogram, Scalogram, Fourier transform, Wigner-Ville distribution, Discrete wavelet transform, Continuous wavelet transform, Graphic editor, Term-Preterm EHG Database (TPEHGDB)
    Number of Pages: 115
    Language of Content: Slovenian
    Mentor / Comentors:
    Name and SurnameIDFunction
    prof. dr. Franc Jager235Mentor
    Link to COBISS: http://www.cobiss.si/scripts/cobiss?command=search&base=51012&select=(ID=1536836547 )
    Institution: University of Ljubljana
    Department: Faculty of Computer and Information Science
    Item ID: 3282
    Date Deposited: 17 Mar 2016 12:08
    Last Modified: 29 Mar 2016 11:19
    URI: http://eprints.fri.uni-lj.si/id/eprint/3282

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