JOURNAL ARTICLE

High-Performance Analog Front-End (AFE) for EOG Systems

Alberto LópezFrancisco FerreroJosé R. VillarOctavian Postolache

Year: 2020 Journal:   Electronics Vol: 9 (6)Pages: 970-970   Publisher: Multidisciplinary Digital Publishing Institute

Abstract

Electrooculography is a technique for measuring the corneo-retinal standing potential of the human eye. The resulting signal is called the electrooculogram (EOG). The primary applications are in ophthalmological diagnosis and in recording eye movements to develop simple human–machine interfaces (HCI). The electronic circuits for EOG signal conditioning are well known in the field of electronic instrumentation; however, the specific characteristics of the EOG signal make a careful electronic design necessary. This work is devoted to presenting the most important issues related to the design of an EOG analog front-end (AFE). In this respect, it is essential to analyze the possible sources of noise, interference, and motion artifacts and how to minimize their effects. Considering these issues, the complete design of an AFE for EOG systems is reported in this work.

Keywords:
Electrooculography Computer science SIGNAL (programming language) Eye movement Computer vision Instrumentation (computer programming) Noise (video) Signal conditioning Analog front-end Artificial intelligence Interference (communication) Front and back ends Electronic engineering Engineering Telecommunications Physics Image (mathematics)

Metrics

34
Cited By
3.22
FWCI (Field Weighted Citation Impact)
32
Refs
0.91
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Gaze Tracking and Assistive Technology
Physical Sciences →  Computer Science →  Human-Computer Interaction
EEG and Brain-Computer Interfaces
Life Sciences →  Neuroscience →  Cognitive Neuroscience
Glaucoma and retinal disorders
Health Sciences →  Medicine →  Ophthalmology
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