Evaluation of eyestrain with vertical electrooculogram.

Computer Methods and Programs in Biomedicine
Shuai LiJie Yu

Abstract

Eyestrain has been increasingly severe in our lives and works as the progress of computers and smartphones. Evaluating eyestrain helps to prevent and relieve eyestrain. Our study aimed to evaluate eyestrain by analyzing vertical electrooculogram (VEOG). 21 young subjects were asked to watch a video on the computer for a totally 120 minutes each, during which the VEOG signal was acquired using only three electrodes, and the questionnaire was answered every 30 minutes. The VEOG signal was divided into four 30-minute phases, from which VEOG signal power probability (VEOGSPP) features and blink features were extracted. The blink features include the changes of blink number (BN), group blinks number (GBN) and ratio (GBR), mean blink amplitude (Mean_BA) and duration (Mean_BD), mean blink duration at 50% (Mean_BD50), mean closing duration (Mean_CD) and opening duration (Mean_OD), mean opening duration at early 50% (Mean_ODE50) and late 50% (Mean_ODL50), mean blink maximum rising slope (Mean_BMRS) and falling slope (Mean_BMFS). The results showed that the VEOGSPP in the high-frequency band (0.8-6.3Hz), BN, GBN, and GBR significantly increased while the VEOGSPP in the low-frequency band (0.1-0.4Hz), Mean_BA, Mean_OD, and Mean_ODL50 sign...Continue Reading

References

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Oct 29, 2013·Biomedical Engineering Online·Kati PetterssonKiti Müller
May 6, 2017·IEEE Journal of Biomedical and Health Informatics·Bor-Shyh LinChien-Yu Chen
May 26, 2017·Optometry and Vision Science : Official Publication of the American Academy of Optometry·Mirjam M van TilborgKatharine S Evans
Jul 3, 2018·BMJ Open Ophthalmology·Amy L Sheppard, James S Wolffsohn
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Oct 2, 2019·Current Eye Research·Blanka GolebiowskiLisa Asper
Dec 29, 2020·Ophthalmic Epidemiology·Pratyusha GanneNagesha C Krishnappa

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