AJP - Regulatory, Integrative and Comparative Physiology, Vol 241, Issue 3 217-R221, Copyright © 1981 by American Physiological Society
Automatic detection of eye movements in REM sleep using the electrooculogram
I. S. Gopal and G. G. Haddad
An automated method for detecting and counting eye movements using the
electrooculogram (EOG) wave form during rapid-eye-movement (REM) sleep is
presented. The method is formulated as a sequential decision process with
decisions based on slope and amplitude threshold criteria. Signal
processing techniques such as digital filtering and smoothing are used to
improve the effectiveness of the method. Validation is done by using the
method on EOG data from three infants and comparing the automated count of
eye movements with the visual counts of human observers. The correlation
coefficient between the automated and visual count is greater than 0.9, the
first-order regression coefficient close to 1.0, and the zero-order
regression coefficient close to 0. We believe that this method will be
useful in differentiating between the substates of REM sleep in studies of
cardiorespiratory physiology.
