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New research · Ophthalmology
Biomedical physics & engineering express · 2d
StudyBiomedical physics & engineering express · 2026

VEOS: vision-based vertical electrooculography inference from monocular periocular video for ocular artefact suppression in EEG.

Peter Redmond, Andrew Fleury, Tomás Ward
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OphthalmologyStudy

Camera-derived eye signal removes about half of blink-related electroencephalography interference

VEOS: vision-based vertical electrooculography inference from monocular periocular video for ocular artefact suppression in EEG.

Peter Redmond … Tomás Ward
Biomedical physics & engineering express · 2026
Background

Ocular artefacts from blinks and eye movements remain a persistent obstacle to reliable electroencephalography (electroencephalography), particularly when dedicated electrooculography (electrooculography) electrodes are unavailable or undesirable.

Purpose

Objective.

Results

camera-based cleaning cut blink interference in half on frontal signals

50%
VEOS
66%
true VEOG
More results

On VEOS-Dev, VEOS achieves median Pearson correlationr=0.81to ground-truth vertical EOG and median blink-onset timing error of 18 ms.

On Eye-BCI, the video-only model achieves medianr=0.74, outperforming an eye-tracker baseline.

More results

Cleaning preserves task-relevant electroencephalography structure, including motor imagery (motor imagery) mu/beta rhythms, steady-state visual evoked potentials (steady-state visual evoked potentials) spectral signal-to-noise ratio, and P300 morphology.

“
Conclusion

The validation was conducted on controlled recordings and should be interpreted as a best-case demonstration rather than a full validation in unconstrained wearable settings.

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