Saccadic eye movements, recorded from healthy human subject with an infrared camera eye tracking system, were analyzed in order to be compared with typically quasi-periodic, chaotic and random signals, theoretically generated from differential equation. To do this, we applied the Fourier transform and also the wavelet transform based on Haar function as suggested by the quasi-rectangular shape of the recorded saccadic signal. Both computational applied tests revealed that the investigated temporal data series can't be classified into none of the theoretical cases. © 2013 IEEE.
Astefanoaei, C., Creanga, D.E., Pretegiani, E., Optican, L.M., Rufa, A. (2013). Fourier and wavelet transformation of eye movement temporal series. In The 4th IEEE International Conference on E-Health and Bioengineering - EHB 2013 (pp.1-4) [10.1109/EHB.2013.6707296].
Fourier and wavelet transformation of eye movement temporal series
Pretegiani E.;Rufa A.
2013-01-01
Abstract
Saccadic eye movements, recorded from healthy human subject with an infrared camera eye tracking system, were analyzed in order to be compared with typically quasi-periodic, chaotic and random signals, theoretically generated from differential equation. To do this, we applied the Fourier transform and also the wavelet transform based on Haar function as suggested by the quasi-rectangular shape of the recorded saccadic signal. Both computational applied tests revealed that the investigated temporal data series can't be classified into none of the theoretical cases. © 2013 IEEE.
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https://hdl.handle.net/11365/1302935