Noise reduction in biological step signals: application to saccadic EOG

Author:

Bankman I. N.,Thakor N. V.

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Biomedical Engineering

Reference14 articles.

1. Abel, A. L., Troost, B. T. andDell'Osso, L. F. (1983) The effects of age on normal saccadic characteristics and their variability.Vis. Res.,23, 33–37.

2. Arakawa, K., Fender, D. H., Harashima, H., Miyakawa, H. andSaitoh, A. (1986) Separation of a nonstationarity component from EEG by a nonlinear digital filter.IEEE Trans.,BME-33, 724–726.

3. Bahill, A. T., Brockenbrough, A. andTroost, B. T. (1981) Variability and development of a normative data base for saccadic eye movements.Invest. Ophthalmol. Vis. Sci.,21, 116–125.

4. Bahill, A. T. andMcDonald, J. D. (1983) Frequency limitations and optimal step size for the two-point central difference derivative algorithm with applications to human eye movement data.IEEE Trans.,BME-30, 191–194.

5. Baloh, R. W., Sills, A. W., Kumley, W. E. andHonrubia, V. (1975) Quantitative measurement of saccade amplitude, duration and velocity.Neurology,25, 1065–1070.

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