Non-invasive technique to detect diabetic retinopathy based on Electrooculography signal using machine learning classifiers
Sign Up to like & getrecommendations! Published in 2022 at "Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine"
DOI: 10.1177/09544119221085422
Abstract: Single-channel Electrooculogram (EOG) is proposed for detecting diabetic retinopathy. The Corneal-retinal potential of the eyes plays a vital role in the acquisition of Electrooculography. Diabetes is the most prevalent disease and for one out of… read more here.
Keywords: signal using; retinopathy; methodology; non invasive ... See more keywords
EOG signal Modeling using Double Exponential Smoothing for Robot Arm Control System
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DOI: 10.24017/science.2017.3.47
Abstract: This paper present a novel way of modeling EOG signal to use in a robot arm control system, two procedures implemented, offline procedure to measure and modeling EOG for building a pattern reference model ,and… read more here.
Keywords: robot arm; model; arm control; eog signal ... See more keywords
The Effect of Coupled Electroencephalography Signals in Electrooculography Signals on Sleep Staging Based on Deep Learning Methods
Sign Up to like & getrecommendations! Published in 2023 at "Bioengineering"
DOI: 10.3390/bioengineering10050573
Abstract: The influence of the coupled electroencephalography (EEG) signal in electrooculography (EOG) on EOG-based automatic sleep staging has been ignored. Since the EOG and prefrontal EEG are collected at close range, it is not clear whether… read more here.
Keywords: sleep staging; eog signal; effect coupled; eeg signal ... See more keywords