Eyes are the windows to the brain and the eye movements are a rich source of information in information processing. The aim of this paper is to select the features with CBFS Feature selection algorithm using eye movements by ElectroOculoGraph (EOG) signals during reading and writing task. The objective is to impart the fundamental functionality to get an extensive understanding of how EOG signa...

To provide an efficient means of communication for those who cannot move muscles of the whole body except eyes due to amyotrophic lateral sclerosis (ALS), we are developing a speech synthesis interface that is based on electrooculogram (EOG) input. EOG is an electrical signal that is observed through electrodes attached on the skin around eyes and reflects eye position. A key component of the s...

The aim of this study is to present a package including standard software for the electroencephalographic (EEG), electro-oculographic (EOG) and electromyographic (EMG) preliminary data analysis, which may be suitable to standardize the results of many EEG research centers studies (i.e. multi-centric studies) especially focused on event-related potentials. In particular, our software package inc...

Electrooculography (EOG) signal is one of the useful electro-physiological signals. The EOG signals provide information about eye movements that can be used as a control signal in human-computer interface (HCI). Usually, eight-directional movements, including up, down, right, left, up-right, up-left, down-right and down-left, are proposed. Development of the EOG signal classification has been s...

This paper proposes a strategy to develop an eye movement controlled rehabilitation aid using Electro-oculogram (EOG) to help severely paralyzed persons. Here, acquisition of EOG is done with a designed circuit. From EOG, eye movements in left and right directions are classified using radial basis function (RBF) artificial neural network (ANN). For classification wavelet coefficients are used a...

This article approaches the problem of EOG artifact correction using one EOG channel from a biophysical point of view. It shows that recordings from one EOG channel are sufficient to correct artifacts from one-dimensional eye movements not exceeding 30 degrees . We prove that the subtraction method "corrected EEG=measured EEG-backward propagation * measured EOG" yields the uncorrupted EEG trace...

Electrooculography biosignals (EOG) are very important for the eye orientation and eyelid movements (blinking) estimation. There are many applications of the EOG signals. Most important applications are related to the medical applications [Duchowski (2007)]. The EOG signal is used for the analysis of eye movement in the selected medical test of the eye related health problems. It is also import...

INTRODUCTION Controversy persists on the value of electrooculography (EOG) in the diagnosis of the unbalanced patient. The aim of this study has been to know the utility of EOG in the diagnosis of patients with equilibrium disorders. MATERIAL AND METHODS We have examined 1000 patients in whom EOG test has been performed for unbalance symptoms. Results have been classified in peripheric or cen...

PURPOSE To present a case of tamoxifen retinopathy on a 57-year-old woman. DESIGN An observational case. METHODS A review of history, clinical examination, and findings on Spectral-domain Optical Coherence Tomography (SD-OCT), fluorescein angiogram (FA) and electro-oculogram (EOG) was conducted. RESULTS A 57-year old female patient, who had been treated with oral tamoxifen after mastectom...

Electroolfactograms (EOGs) are the summated generator potentials of olfactory receptor neurons measured directly from the olfactory epithelium. To validate the sensory origin of the human EOG, we set out to ask whether EOGs measured in humans were odorant concentration dependent. Each of 22 subjects (12 women, mean age = 23.3 yr) was tested with two odorants, either valeric acid and linalool (n...