Visual evoked potential processing under acceleration stress.

A study of the use of visual evoked potentials to detect acceleration induced blackout is presented. Decisions concerning the presence or absence of the visual evoked potential within the measured EEG were made using detection and estimation-based approaches. The performance of each technique is evaluated in two ways: (a) via a performance index (PI) which is introduced in this work, and (b) by the accuracy of pure detection. Variations of the main processing techniques such as output averaging and decision thresholding were also investigated.