نتایج جستجو برای: electrooculography eog

تعداد نتایج: 1170  

Journal: :International journal of psychophysiology : official journal of the International Organization of Psychophysiology 2003
D V Moretti F Babiloni F Carducci F Cincotti E Remondini P M Rossini S Salinari C Babiloni

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...

2012
Anwesha Banerjee Shounak Datta Amit Konar D. N. Tibarewala

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...

Journal: :Psychophysiology 2008
Lars Matthäus Trieu Pham Rodney J Croft

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...

Journal: :Dicle Üniversitesi Veteriner Fakültesi Dergisi 2023

Elektroensefalografi (EEG), fonksiyonel merkezi sinir sistemi bozukluklarının değerlendirilmesi için önemli bir muayene yöntemidir. Bu makalenin amacı, EEG’nin köpeklerde kullanımını gözden geçirmek ve tekniklerinin açıklanarak veteriner hekimlik uygulanmalarının pratikleştirilmesini sağlamaktır. Ayrıca, elektrookülografi (EOG) verileri ile birlikte EEG modeli ilişkisi üzerinde durulmaktadır. S...

2015
Lingling Wang Heng Miao Xiaoxin Li

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...

Journal: :Journal of neurophysiology 2009
Hadas Lapid Han-Seok Seo Benno Schuster Elad Schneidman Yehudah Roth David Harel Noam Sobel Thomas Hummel

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...

Journal: :Bio-protocol 2013
Xuanmao Chen Zhengui Xia Daniel R Storm

Olfactory sensory neurons in the main olfactory epithelium (MOE) are responsible for detecting odorants and EOG recording is a reliable approach to analyze the peripheral olfactory function. However, recently we revealed that rodent MOE can also detect the air pressure caused by airflow. The sensation of airflow pressure and odorants may function in synergy to facilitate odorant perception duri...

Journal: :Intelligent Automation & Soft Computing 2007
Youngmin Kim Nakju Lett Doh Youngil Youm Wan Kyun Chung

In this paper, a robust algorithm that discriminates various eye motions from the ElectroOculoGram (EOG) signals is proposed. Previous researches that use the EOG only focused on saccadic motions or blinks. However, we cover all eye motions including double/triple blinks and left/right winks. Furthermore, we suggest a novel method, which removes noises of the EOG, to increase the robustness of ...

2012
Wei-Yen Hsu W.-Y. HSU

In this study, we propose a brain-computer interface (BCI) system to analyze single-trial electroencephalogram (EEG) signals. After the automatic EOG-artifact elimination, wavelet-coherence features and support vector machine (SVM) are adopted for the classification of left and right motor imagery (MI) data. EOG artifacts are removed automatically via modified independent component analysis (IC...

نمودار تعداد نتایج جستجو در هر سال

با کلیک روی نمودار نتایج را به سال انتشار فیلتر کنید