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Saccades detection in optokinetic nystagmus - a fuzzy approach

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The analysis of eye movements is valuable in both clinical work and research. One of the characteristic type of eye movements is saccade. The accurate detection of saccadic eye movements is the base for further processing of saccade parameters such velocity, amplitude and duration. This paper presents an accurate saccade detection method which is supported by the fuzzy clustering. The proposed detection function is computationally efficient and precisely determines the time position of the saccadic eye movement event. The described method is characterized by low sensitivity for any kind of noise and can be applied in the analysis of the congenital nystagmus.
Słowa kluczowe
Rocznik
Tom
Strony
33--39
Opis fizyczny
Bibliogr. 16 poz., rys., tab.
Twórcy
autor
  • Silesian University of Technology, Institute of Electronics, Akademicka Str. 16, 44 100 Gliwice, Poland.
autor
Bibliografia
  • [1] BAREA R., BOQUETE L., MAZO M., LÓPEZ E., Wheelchair Guidance Strategies Using EOG, Journal of Intelligent and Robotic Systems, 2002, Vol. 34, pp.279–299.
  • [2] BEZDEK J.C., Pattern Recognition with Fuzzy Objective Function Algorithms, Plenum Press, New York, 1982.
  • [3] CLEMENT R.A., WHITTLE J.P., MULDOON M.R., ABADI R.V., BROOMHEAD D.S., AKMAN O., Characterisation of congenital nystagmus waveforms in terms of periodic orbits, Vision Research, 2002, Vol. 42, pp. 2123-2130.
  • [4] KALLURI S., ARCE G.R., Adaptive weighted myriad filter algorithms for robust signal processing in [-stable noise environments, IEEE Transactions on Signal Processing, 1998, Vol. 46, pp. 322-334.
  • [5] KIM K.G., KO J.S., PARK B.R., A new measuring method of slow component velocity for OKN signal, IEEE 5th Inter. Conference on Power Electronics and Drive Systems, 2003, pp.973-977.
  • [6] ŁĘSKI J., A new possibility of non-invasive electrocardiological diagnosis, Politechnika Śląska, Zeszyty Naukowe, Gliwice, 1994, No. 1233.
  • [7] MICHAELS D.L., TOLE J.R., A microprocessor-based instrument for nystagmus analysis, Proceeding of the IEEE, 1977, Vol. 65, pp.730-735.
  • [8] NIEMENLEHTO P.H., Constant false alarm rate detection of saccadic eye movements in electro-oculography, Computer Methods and Programs in Biomedicine, 2009, Vol. 96, pp. 158-171.
  • [9] O'HAVER T., Peak Finding and Measurement, (access August 2012), http://terpconnect.umd.edu/~toh/spectrum/PeakFindingandMeasurement.htm
  • [10] PANDER T., An application of detection function for the eye blinking detection, Conference on Human System Interaction, HSI 2008, pp. 287-291.
  • [11] PANDER T., New polynomial approach to myriad filter computation, Signal Processing, 2010, Vol. 90, pp. 1991-2001.
  • [12] PANDER T., Application of weighted myriad filters to suppress impulsive noise in biomedical signals, TASK Quarterly 8, 2004, No. 2, pp. 199-216.
  • [13] PASQUARIELLO G., CESARELLI M., ROMANO M., LA GATA A., BIFULCO P., FRATINI A., Waveform type evaluation in congenital nystagmus, Computer Method and Programs in Biomedicine, 2010, Vol. 100, pp. 49-58.
  • [14] SHETH N.V., DELL’OSSO L.F., LEIGH R.J., VAN DOREN C.L., PECKHAM H.P., The effects of afferent stimulation on congenital nystagmus foveation periods, Vision Research, 1995, Vol. 35, pp. 2371-2382.
  • [15] VENKATARAMANAN S., PRABHAT P., CHOUDHURY S.R., NEMADE H.B., SAHAMBI J.S., Biomedical instrumentation based on electrooculogram (EOG) signal processing and application to a hospital alarm system, Proceedings of International Conference on Intelligent Sensing and Information Processing, 4-7 Jan. 2005, pp. 535-540.
  • [16] WANG C., YANG Q., WEI M., SUN W., LI Z., SUN F., Open-loop system of optokinetic nystagmus eye movement in human, IEEE Inter. Conference on Systems, Man and Cybernetics, 2004, pp. 2664-2668.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-PWA4-0026-0003
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