The specification discloses a diagnostic device and method for detecting various neurological conditions, particularly dyslexia. Eye movement patterns of the subject to be tested are separated into saccadic movement (both progressive and regressive) vergence, pursuit movements and fixations, and the subject's specific eye movement pattern, as evaulated against a specific stimulus, and normal patterns is used for diagnostic purposes. A variety of eye movement detectors is disclosed, together with a sampling means which evaluates the eye position at intervals of less than 10 milliseconds. A data processing means is used to isolate the significant samples and categorizes the retained data samples into the foregoing eye movements. The eye movement patterns are then evaluated against a statistical data base to determine the kind and severity of the diagnosed condition. For example, dyslexic individuals exhibit a high number of regressive saccades, while drug and alcohol impaired individuals are unable follow a stimulus with a pursuit movement, but must relay on a series of short saccades.
Method and means for detecting dyslexia