Automatic evaluation of videokymographic recordings for early diagnosis and prevention of vocal fold tumors



Supported by (ID): TA04010877

Start/End date: 1.7.2014 - 31.12.2017

Grantor: Technology agency ČR


Our software only for test purposes is found here:

  • VKGanalyzer 32-bit
  • VKGanalyzer 64-bit
  • Summary

    The aim of this project is to extend the existing Videokymograph (VKG) capturing system by a sophisticated software designed to automatically evaluate the properties of high frequency recordings of human vocal fold vibrations and make a diagnose suggestion based on the retrieved information. Another goal for this project is to create a certified methodic for VKG examination process to be used in clinical praxis.

    The project is based on tight cooperation of four subjects:

    • The Voice and Hearing Centre Prague, Medical Healthcom, s.r.o. - a clinic specialized in vocal fold dysfunctions diagnosis.
      Project webpage
    • Dr. Svec & co, Faculty of Biophysics of the Palacky University in Olomouc, Czech rep. - team of the actual inventor of the VKG imaging technique.
    • The Institute of Information Theory and Automation (UTIA) by Czech Academy of Sciences - a research institute specialized in image processing and analysis.
    • Starmans electronics - a technological company with expertise in development of medical equipment.

    Preliminary report (czech)


    The software is currently in alpha stage still in development with basic functionality implemented, e.g.

    • Simple image enhancement
    • Automatic search and processing of 'interesting' sequences.
    • Finding of the glottal opening.
    • Glottal contour extraction
    • Basic opening characteristics (opening point, closing point and both left and right vibration amplitudes)


    Graphical User Interface Design (czech)
    Software documentation (czech)


    Data acquisition

    All sample data used in the project are gathered by The Voice and Hearing Centre Prague and are subject to anonymiztation and randomization process for patient privacy protection. The VKG images are created by acquiring a line-scan rows and putting them together in single image with the horizontal and vertical axis forming the space and time dimension respectively. These images are used as an input for the VKG Analyzer software for automatic vibratory characteristics extraction.


    If you are interested in our developed software, please send us a request on this email:   zitova (at)