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Electrooculography by Wearable Graphene Textiles
Study of eye movements and measurement of the resulting biopotentials, referred to as electrooculography (EOG), may find increasing use in applications within the domain of personalized medicine provided that the limitations of conventional “wet” electrodes are addressed.
Ata Jedari Golparvar, Murat Kaya Yapici
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Reconstructing animated eye movements from electrooculography data to aid the diagnosis of vestibular disorders [PDF]
Objective: To develop a method of visualising electrooculography data to improve the interpretability of nystagmus eye-movements captured using the Continuous Ambulatory Vestibular Assessment (CAVA®) device.
John Phillips +2 more
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Computer automated electrooculography
Computers and Biomedical Research, 1972Abstract Clinical electrooculography requires a patient to track two points in the visual field separated by at least 30° visual angle in a horizontal plane while recording the concomitant change in potential from electrodes placed at the external canthi of the two eyes.
J R, Bourne, P R, Hudak, J L, Duke
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2018
The electrooculogram (EOG) assesses the function of the retinal pigment epithelium (RPE), and also the interaction between the RPE and photoreceptors. This is done by noting the changes in the corneoretinal standing potential (the difference between the retina and electropositive cornea) during the dark-adapted and light-adapted states.
Stephen H, Tsang, Tarun, Sharma
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The electrooculogram (EOG) assesses the function of the retinal pigment epithelium (RPE), and also the interaction between the RPE and photoreceptors. This is done by noting the changes in the corneoretinal standing potential (the difference between the retina and electropositive cornea) during the dark-adapted and light-adapted states.
Stephen H, Tsang, Tarun, Sharma
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Memristor-Based Tunable Analog Filter for Physiological Signal Acquisition for Electrooculography
In this paper we demonstrate that Memristors can be used in conjunction with CMOS to implement a continuous-time tunable analog bandpass filter for use in the area of biomedical signal acquisition.
Juhi Faridi, Mohd Samar Ansari
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Design of Wheelchair based on Electrooculography
2020 International Conference on Communication and Signal Processing (ICCSP), 2020The number of disable people are increasing at a rapid rate, disability to control limbs due to accidents or inherently are major cause of immobility. Immobility hinders daily activities and leads to social restrictions which isolate them from the rest. Various techniques like mechanized wheelchair have been designed for quadriplegic people.
Konica Kuntal +2 more
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A human-robot interface based on electrooculography
IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004, 2004Design and implementation of an electrooculography based gaze-controlled robotic system is presented. The robot system consists of signal acquisition, pattern recognition, control strategy and robot motion modules. The user's eye gaze movements are reconstructed from electrooculogram (EOG) signals, which are recorded from the face in real time. The eye
Yingxi Chen, Wyatt S. Newman
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CLINICAL ELECTROOCULOGRAPHY WITH SUITABLE APPARATUS
American journal of optometry and archives of American Academy of Optometry, 1970ABSTRACT Electrooculography (EOG) is a common method for recording eye movements, but the EOG has not been used to any extent in optometry except for research. If a suitable EOG apparatus were available, optometrists could use it for routing clinical measurements.
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Electrooculography based font and punto analysis
2017 Medical Technologies National Congress (TIPTEKNO), 2017EOG is a measurement method that allows eye movements to be made into a testable signal based on the fact that the eyeball behaves like a battery. This method can measure the electrical potential of the pigmented layer of the eyeball in the retina through the instrument of electrodes placed around the eye. thus, eye movements get a quantifiable aspect.
Yaprak, Muhammed +5 more
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Electrooculography dataset for reading detection in the wild
Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, 2019Because of the diversity of document layouts and reading styles, detecting reading activities in real life is a challenging task compared to the detection in the laboratory setting. For contributing to the implementation of robust reading detection algorithms, we introduce a dataset which contains 220 hours of sensor signals from JINS MEME ...
Shoya Ishimaru +4 more
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