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.
Highlights
The biopotentials generated by the human body have given rise to numerous studies and to some applications
EOG signals may be corrupted by various kinds of noise, such as electrode contact noise, EOG signals may be corrupted by various kinds of noise, such as electrode contact noise, power power line interferences, motion artifacts, muscle contraction (EMG), baseline drift, intrinsic noise line interferences, motion artifacts, muscle contraction (EMG), baseline drift, intrinsic noise generated generated by electronic electrosurgical and other significant noisesources
3, we are ready to design a prototype of an analog front-end (AFE) based on the low‐resolution analog‐to‐digital converters (ADCs) approach
Summary
The biopotentials generated by the human body have given rise to numerous studies and to some applications. Eye movement research is instance, in sleep studies [2,3], to prevent computer vision syndrome [4], or for Ataxia SCA‐2 of great interest in the control of human prosthesis [8], assessing driver drowsiness [9], and in the diagnosis [5,6]. This is since eye movements provide critical signs of neurological disorders [7].
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