Array Array

Array

Authors

  • Roberto A. Becerra García
  • Gonzalo Joya Caparros
  • Luis Velázquez Pérez

DOI:

https://doi.org/10.33936/isrtic.v1i2.826

Keywords:

Array

Abstract

Array

Downloads

Download data is not yet available.

References

[1] L. Velázquez, R. García, N. Santos, M. Paneque, E. Medina, R. Hechavarría, Las ataxias hereditarias en cuba. aspectos históricos, epidemiológicos, clínicos, electrofisiológicos y de neurología cuantitativa, Revista de Neurología 32 (1) (2001) 71–76.

[2] L. Velázquez-Pérez, G. Sánchez-Cruz, N. Santos-Falcón, L. E. Almaguer-Mederos, K. Escalona-Batallan, R. Rodríguez-Labrada, M. Paneque-Herrera, J. M. Laffita-Mesa, J. C. Rodríguez-Díaz, R. Aguilera-Rodríguez, Y. González-Zaldivar, D. Coello-Almarales, D. Almaguer-Gotay, H. Jorge-Cedeno, Molecular epidemiology of spinocerebellar taxias in cuba: Insights into sca2 founder effect in holguin, Neuroscience Letters 454 (2) (2009) 157–160.

[3] R. J. Leigh, D. S. Zee, The neurology of eye movements, Vol. 90, Oxford University Press, USA, 2015.

[4] L. Velázquez Pérez, Ataxia espinocerebelosa tipo 2. Diagnóstico, pronóstico y evolución, 3rd Edition,E ditorial Ciencias Médicas, La Habana, 2012.

[5] R. Krupinski, P. Mazurek, Electrooculography signal estimation by using evolution-based technique for computer animation applications, Vol. 6374 LNCS, 2010.

[6] R. V. García Bermúdez, Procesamiento de registros oculares sacádicos en pacientes de ataxia SCA2. aplicación del análisis de componentes independientes., Ph.D. thesis, Universidad de Granada, Granada, España (Noviembre 2010).

[7] M. Martínez, E. Soria, R. Magdalena, A. J. Serrano, J. D. Martín, J. Vila, Comparative study of several fir median hybrid filters for blink noise removal in electrooculograms, WSEAS Trans. Sig. Proc. 4 (3) (2008) 53–59.

[8] M. Juhola, The effect of digital lowpass filters on the maximum velocity of saccadic eye movements, Computers in Biology and Medicine 16 (5) (1986) 361–370.

[9] M. Juhola, Median filtering is appropriate to signals of saccadic eye movements, Computers in Biology and Medicine 21 (1-2) (1991) 43–49.

[10] M. Reddy, B. Narasimha, E. Suresh, K. Rao, Analysis of EOG signals using wavelet transform for detecting eye blinks, 2010, pp. 1 –4.

[11] R. L. Burden, J. D. Faires, Numerical Analysis, 9th Edition, Cengage Learning, Canada, 2011.

[12] A. Bahill, J. McDonald, Computing eye velocities with a two-point central difference algorithm., 1982, pp. 254–257.

[13] P. Niemenlehto, Constant false alarm rate detection of saccadic eye movements in electrooculography, Computer Methods and Programs in Biomedicine 96 (2) (2009) 158–171.

[14] A. T. Bahill, J. S. Kallman, J. E. Lieberman, Frequency limitations of the two-point central difference differentiation algorithm, Biological Cybernetics 45 (1) (1982) 1–4.

[15] P. Inchingolo, M. Spanio, On the identification and analysis of saccadic eye movements. a quantitative study of the processing procedures, IEEE Transactions on Biomedical Engineering 32 (9) (1985) 683–695.

[16] A. Savitzky, M. J. E. Golay, Smoothing and differentiation of data by simplified least squares procedures., Analytical Chemistry 36 (8) (1964) 1627–1639.

[17] F. Shic, B. Scassellati, K. Chawarska, The incomplete fixation measure, ACM, Savannah, Georgia, 2008, pp. 111–114.

[18] J. Anliker, Eye movements - on-line measurement, analysis, and control.

[19] D. D. Salvucci, J. H. Goldberg, Identifying fixations and saccades in eye-tracking protocols, ACM, Palm Beach Gardens, Florida, United States, 2000, pp. 71–78.

[20] R. W. Baloh, A. W. Sills, W. Kumley, V. Honrubia, Quantitative measurement of saccade amplitude, duration, and velocity, Neurology 25 (11) (1975) 1065.

[21] A. Bahill, A. Brockenbrough, B. Troost, Variability and development of a normative data base for saccadic eye movements, Investigative Ophthalmology and Visual Science 21 (1 II) (1981) 116–125.

[22] M. Juhola, V. Jántti, I. Pyykkö, M. Magnusson, L. Schalén, M. ̊Akesson, Detection of saccadic eye movements using a non-recursive adaptive digital filter, Computer Methods and Programs in Biomedicine 21 (2) (1985) 81–88.

[23] H. Wyatt, Detecting saccades with jerk, Vision Research 38 (14) (1998) 2147–2153.

[24] J. Keegan, E. Burke, J. Condron, An electrooculogram-based binary saccade sequence classification (bssc) technique for augmentative communication and control, Conference Proceedings: ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference 1 (2009) 2604–2607, PMID: 19965222.

[25] P.-H. Niemenlehto, M. Juhola, Application of the cell averaging constant false alarm rate technique to saccade detection in electro-oculography, 2007, pp. 586–589.

[26] M. Juhola, T. Grönfors, A scheme of inference of regular grammars for the syntactic pattern recognition of saccadic eye movements, Artificial Intelligence in Medicine 3 (2) (1991) 87–93.

[27] M. Juhola, A syntactic analysis method for eye movements of vestibulo-ocular reflex, Computer Methods and Programs in Biomedicine 46 (1) (1995) 59–65.

[28] P. Tigges, N. Kathmann, R. R. Engel, Identification of input variables for feature based artificial neural networks-saccade detection in EOG recordings, International Journal of Medical Informatics 45 (1997) 175–184.

[29] A. T. Bahill, M. R. Clark, L. Stark, The main sequence, a tool for studying human eye movements, Mathematical Biosciences 24 (3-4) (1975) 191–204.

[30] E. Irving, M. Steinbach, Development of the saccadic amplitude/velocity relationship, Investigative Ophthalmology and Visual Science 38 (4).

[31] S. Garbutt, M. R. Harwood, C. M. Harris, Comparison of the main sequence of reflexive saccades and the quick phases of optokinetic nystagmus, Br J Ophthalmol 85 (12) (2001) 1477–1483.

[32] J. B. J. Smeets, I. T. C. Hooge, Nature of variability in saccades, J Neurophysiol 90 (1) (2003) 12–20.

Published

2017-07-31

Issue

Section

Regular Papers

Most read articles by the same author(s)