We present a method to quantitatively and objectively compare algorithms for correction of eye movement artifacts in a simulated ongoing electroencephalographic signal (EEG). A realistic model of the human head is used, together with eye tracker data, to generate a data set in which potentials of ocular and cerebral origin are simulated. This approach bypasses the common problem of brain-potential contaminated electro-oculographic signals (EOGs), when monitoring or simulating eye movements. The data are simulated for five different EEG electrode configurations combined with four different EOG electrode configurations. In order to objectively compare correction performance for six algorithms, listed in Table III, we determine the signal to noise ratio of the EEG before and after artifact correction. A score indicating correction performance is derived, and for each EEG configuration the optimal correction algorithm and the optimal number of EOG electrodes are determined. In general, the second-order blind identification correction algorithm in combination with 6 EOG electrodes performs best for all EEG configurations evaluated on the simulated data.
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Citation for published version (APA):Vogten, L. L. M. (1978). Low-level pure-tone masking : a comparison of "tuning curves" obtained with simultaneous and forward masking. Journal of the Acoustical Society of America, 63(5), 1520-1527. DOI: 10.1121/1.381846
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Phase locking between probe and maskcr was used in a series of pure-tone masking experiments. The' maskcr was a stationary sine wave of variable frequency; the probe a fixed-frequency tone burst. Wc have observed that for small frequency separation the masking behaves asymmetrically around the probe frequency. This asymmetry depends on intensity. For a l-kHz probe at low stimulus levels there is a maximum masking effect at about 60 Hz above the probe frequency, whereas at high levels maximum masking is produced at a frequency definitely below the probe frequency. These results arc discussed in relation to current ncurophysiological and psychophysical data.
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