Conference proceeding
Detection of acceleration (+Gz) induced blackout by matched-filtering of visual evoked potentials
AGARD, Electric and Magnetic Activity of the Central Nervous System: Research and Clinical Applications in Aerospace Medicine 13 p (SEE N88-27683 21-51); INTERNATIONAL ORGANIZATION
01 Jan 1988
Abstract
In air-combat-maneuvering and on human centrifuges, moderate levels of positive acceleration (+Gz), coupled with moderate rates of onset, produce visual symptoms which are ordinarily progressive: decreasing visual sensitivity, dimming of visual field, peripheral light-loss, and central light-loss of consciousness, subjective visual symptoms are the most commonly used tolerance end point in acceleration research. In order to provide an objective indication of the integrity of the visual system, a method for real-time monitoring of the steady-state visual evoked potential (VEP) was developed. Using the Fast Fourier Transform (FFT), a method for maximizing the signal-to-noise ratios was developed: a digital, frequency domain, non-white-noise matched filter, with evaluation only at the expected response peak. Experiments on the U.S. Naval Development Center's Human Centrifuge demonstrated that the response does progressively decrease, disappearing at black-out. Improved computer facilities have permitted evaluation of alternative methods of processing, and the effectiveness of such processing. Data from a static experiment using four stimulus repetition rates and two electrode positions showed that windowing of the time record prior to FFT does not necessarily improve detection. (Author)
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Details
- Title
- Detection of acceleration (+Gz) induced blackout by matched-filtering of visual evoked potentials
- Creators
- Johng NelsonJOSEPHP CammarotaLeonid Hrebien
- Publication Details
- AGARD, Electric and Magnetic Activity of the Central Nervous System: Research and Clinical Applications in Aerospace Medicine 13 p (SEE N88-27683 21-51); INTERNATIONAL ORGANIZATION
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Identifiers
- 991020531949304721