Gotowe bibliografie tematyczne / Electro-oculography

Gotowa bibliografia na temat „Electro-oculography”

Autor: Grafiati
Data publikacji: 4 czerwca 2021
Data aktualizacji: 20 lutego 2023

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Artykuły w czasopismach na temat "Electro-oculography"

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ALANKO, HANNU I. "CLINICAL ELECTRO-OCULOGRAPHY". Acta Ophthalmologica 62, S161 (28.05.2009): 139–48. http://dx.doi.org/10.1111/j.1755-3768.1984.tb06796.x.

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PINCKERS, A. "CLINICAL ELECTRO-OCULOGRAPHY". Acta Ophthalmologica 57, nr 4 (27.05.2009): 623–32. http://dx.doi.org/10.1111/j.1755-3768.1979.tb00509.x.

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GAHLOT, D. K., i E. HANSEN. "ELECTRO-OCULOGRAPHY IN ALBINOS". Acta Ophthalmologica 52, nr 2 (27.05.2009): 220–24. http://dx.doi.org/10.1111/j.1755-3768.1974.tb00370.x.

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Prieto-Diaz, Julio. "Duane's Syndrome Electro-Oculography Pattern". Journal of Pediatric Ophthalmology & Strabismus 22, nr 6 (listopad 1985): 243–45. http://dx.doi.org/10.3928/0191-3913-19851101-10.

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Marmor, Michael F., i Eberhart Zrenner. "Standard for clinical electro-oculography". Documenta Ophthalmologica 85, nr 2 (luty 1993): 115–24. http://dx.doi.org/10.1007/bf01371127.

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Marmor, Michael F. "Standard for Clinical Electro-oculography". Archives of Ophthalmology 111, nr 5 (1.05.1993): 601. http://dx.doi.org/10.1001/archopht.1993.01090050035023.

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Scuderi, G. L., F. Ricci, C. Nucci, M. J. Galasso i L. Cerulli. "Electro-Oculography in Pigment Dispersion Syndrome". Ophthalmic Research 30, nr 1 (1998): 23–29. http://dx.doi.org/10.1159/000055450.

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Han, Dennis P. "Electro-oculography in Autosomal Dominant Vitreoretinochoroidopathy". Archives of Ophthalmology 110, nr 11 (1.11.1992): 1563. http://dx.doi.org/10.1001/archopht.1992.01080230063021.

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Van Nechel, Ch, i M. Cordonnier. "Electro-oculography of saccades to flashed targets". Neuro-Ophthalmology 11, nr 2 (styczeń 1991): 77–86. http://dx.doi.org/10.3109/01658109108997299.

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Lessel, Manfred R., Arnulf Thaler, Viktor Scheiber i Peter Heilig. "The dark trough in clinical electro-oculography". Documenta Ophthalmologica 84, nr 1 (marzec 1993): 31–38. http://dx.doi.org/10.1007/bf01203280.

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Rozprawy doktorskie na temat "Electro-oculography"

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Wills, Dominic A. "Improving sports vision diagnostics using wireless electro-oculography". Master's thesis, University of Cape Town, 2006. http://hdl.handle.net/11427/5080.

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Includes bibliographical references (leaves 91-94).
Traditional techniques such as eye hand coordination tests have difficulty isolating the pure eye movement data as their results are reliant on subjects performing physical responses to visual stimuli. What is needed in this field is diagnostic equipment that can give information on eye motion alone. Electro-Oculography was investigated as a form of eye tracking as it is an inexpensive, simple, underdeveloped and primary method of eye tracking that required low data transmission rates.
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Sridharan, Kousik Sarathy. "Real-time acquisition and analysis ofElectro-oculography signals". Thesis, Linköpings universitet, Biomedicinsk instrumentteknik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-76734.

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Electro-oculography signals are corneo-retinal potentials that carry informationpertaining to eye movements. This information can be used to estimate drowsinesslevel of the subject which could provide interesting insights into research of acci-dent prevention. Of all features present, blink duration has been proved to be aneffective measure of drowsiness. The aim of this thesis work is to build a portablesystem to acquire and analyze electro-oculographic (EOG) signals in real-time.The system contains two sub-systems; a hardware sub-system that consists of thefilters, amplifiers, data acquisition card and isolation and the software sub-systemthat contains the program to acquire and analyze the signal and present the resultsto the observer. The filters were designed starting with simulation, implementa-tion on the prototype board, culminating in the design of a printed circuit board(PCB) and packaging. The complete software was written in PythonTMusing sev-eral relevant libraries for data processing. A text-based user interface was createdto enable easy user interaction. The results are graphically displayed in real-time. Ex-situ tests were done with two volunteers while in-situ test was done onone subject. The data from the in-situ tests showed "good signal quality" in a"noisy" environment concurring with the design specifications. To motivate theimportance of calibration, two calibration paradigms were used during ex-situtests, where one paradigm records only normal blinks while the other records longblinks and the results showed differences in detection and error rates. The obser-vations made from performance tests at various levels gave "satisfactory results"and proved the usefulness of the system for experimental purposes in-situ.
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Coughlin, Michael J., i n/a. "Calibration of Two Dimensional Saccadic Electro-Oculograms Using Artificial Neural Networks". Griffith University. School of Applied Psychology, 2003. http://www4.gu.edu.au:8080/adt-root/public/adt-QGU20030409.110949.

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The electro-oculogram (EOG) is the most widely used technique for recording eye movements in clinical settings. It is inexpensive, practical, and non-invasive. Use of EOG is usually restricted to horizontal recordings as vertical EOG contains eyelid artefact (Oster & Stern, 1980) and blinks. The ability to analyse two dimensional (2D) eye movements may provide additional diagnostic information on pathologies, and further insights into the nature of brain functioning. Simultaneous recording of both horizontal and vertical EOG also introduces other difficulties into calibration of the eye movements, such as different gains in the two signals, and misalignment of electrodes producing crosstalk. These transformations of the signals create problems in relating the two dimensional EOG to actual rotations of the eyes. The application of an artificial neural network (ANN) that could map 2D recordings into 2D eye positions would overcome this problem and improve the utility of EOG. To determine whether ANNs are capable of correctly calibrating the saccadic eye movement data from 2D EOG (i.e. performing the necessary inverse transformation), the ANNs were first tested on data generated from mathematical models of saccadic eye movements. Multi-layer perceptrons (MLPs) with non-linear activation functions and trained with back propagation proved to be capable of calibrating simulated EOG data to a mean accuracy of 0.33° of visual angle (SE = 0.01). Linear perceptrons (LPs) were only nearly half as accurate. For five subjects performing a saccadic eye movement task in the upper right quadrant of the visual field, the mean accuracy provided by the MLPs was 1.07° of visual angle (SE = 0.01) for EOG data, and 0.95° of visual angle (SE = 0.03) for infrared limbus reflection (IRIS®) data. MLPs enabled calibration of 2D saccadic EOG to an accuracy not significantly different to that obtained with the infrared limbus tracking data.
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Coughlin, Michael J. "Calibration of Two Dimensional Saccadic Electro-Oculograms Using Artificial Neural Networks". Thesis, Griffith University, 2003. http://hdl.handle.net/10072/365854.

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The electro-oculogram (EOG) is the most widely used technique for recording eye movements in clinical settings. It is inexpensive, practical, and non-invasive. Use of EOG is usually restricted to horizontal recordings as vertical EOG contains eyelid artefact (Oster & Stern, 1980) and blinks. The ability to analyse two dimensional (2D) eye movements may provide additional diagnostic information on pathologies, and further insights into the nature of brain functioning. Simultaneous recording of both horizontal and vertical EOG also introduces other difficulties into calibration of the eye movements, such as different gains in the two signals, and misalignment of electrodes producing crosstalk. These transformations of the signals create problems in relating the two dimensional EOG to actual rotations of the eyes. The application of an artificial neural network (ANN) that could map 2D recordings into 2D eye positions would overcome this problem and improve the utility of EOG. To determine whether ANNs are capable of correctly calibrating the saccadic eye movement data from 2D EOG (i.e. performing the necessary inverse transformation), the ANNs were first tested on data generated from mathematical models of saccadic eye movements. Multi-layer perceptrons (MLPs) with non-linear activation functions and trained with back propagation proved to be capable of calibrating simulated EOG data to a mean accuracy of 0.33° of visual angle (SE = 0.01). Linear perceptrons (LPs) were only nearly half as accurate. For five subjects performing a saccadic eye movement task in the upper right quadrant of the visual field, the mean accuracy provided by the MLPs was 1.07° of visual angle (SE = 0.01) for EOG data, and 0.95° of visual angle (SE = 0.03) for infrared limbus reflection (IRIS®) data. MLPs enabled calibration of 2D saccadic EOG to an accuracy not significantly different to that obtained with the infrared limbus tracking data.
Thesis (PhD Doctorate)
Doctor of Philosophy (PhD)
School of Applied Psychology
Griffith Health
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Fu, Chung-I., i 傅中奕. "Controlling an Omni-direction Wheelchair by Using Electro-oculography (EOG) Signals". Thesis, 2014. http://ndltd.ncl.edu.tw/handle/8ydpkd.

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碩士
中原大學
電機工程研究所
102
With the increasing proportion of Taiwan’s elderly population year by year, the society has gradually marched toward an ageing society. Especially, the problem of disability for the elderly has greatly burdened the economics costs. In this study, I initiate the eye movement signals for offline feature identification, and the appropriate threshold voltage is selected through repeated experiments. In additional, through transmitting the control commands to the Arduino platform, we can change the moving directions of the omni-directional wheelchair. Finally, the experimental results show that, the omni-directional wheelchair moves accurately in the direction of where the users want to go.
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Hsueh, Chih-Chien, i 薛智謙. "A Feasibility study of an English Letters _Expression System Based on Electro-oculography". Thesis, 2005. http://ndltd.ncl.edu.tw/handle/22547918483664577528.

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碩士
國立中央大學
電機工程研究所
93
Human language is a direct communication among human beings to express his/her emotions and thoughts. It is easy for most of us to express their thoughts through languages, but the ALS (Amyotrophic Lateral Sclerosis) victims, it will be a fantasy. If a computer system can help those patients to communicate with outside world, then it will be a great help for the families and doctors whose responsibility is taking care of them. My research is to build English Letter expression system based on Electro-oculography. When a user wants to express him/herself, he/she simply needs to revolve his/her eyeballs clockwise three times, and the system will be initiated. After finishing each alphabet, if the users take a glance at a point one second, the system will recognize that the users have finished one alphabet; if the users are done with “writing,” he/she just needs to gyrate his/her eyeballs counterclockwise three times, and the system will be at a standby mode; the users can activate the system at any time. In my research, I used electrode to get both horizontal and vertical signal from eyeballs. Once the signals were picked, it will be magnified 334 times by Differential Amplifier, and then signal will be transmitted to the computer by analog-digital converter. After that, the computer will manage the signal and the recognize alphabets. The signal management includes: filtering disorderly signals, classifying codes, and detailed sorting for Hopfied Neural Network. In this system, I established 33 symbols to facilitate users, including 26 Latin alphabets, four commonly used punctuation symbols (space, comma, question, and dot), and three symbols (cancel letter, cancel word, and cancel sentence). Users will be able to communicate with and express to others easily using those 33 symbols.
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Części książek na temat "Electro-oculography"

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Verriest, G., A. Colasanti, R. Fusco, A. Magli i G. Tortora. "Visual Field Examination by Electro-Oculography". W Documenta Ophthalmologica Proceedings Series, 521–26. Dordrecht: Springer Netherlands, 1985. http://dx.doi.org/10.1007/978-94-009-5512-7_76.

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Gulyás, Szilvia. "Electro-Oculography (EOG) Examination of Eye Movements". W Neuro-Ophthalmology, 287–93. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-28956-4_33.

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Estrany, B., i Pilar Fuster-Parra. "Human Eye Tracking Through Electro-Oculography (EOG): A Review". W Lecture Notes in Computer Science, 75–85. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-16538-2_8.

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Bhat, Sushanth, i Sudhansu Chokroverty. "Electroencephalography, Electromyography, and Electro-oculography: General Principles and Basic Technology". W Sleep Disorders Medicine, 295–330. New York, NY: Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4939-6578-6_18.

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"History of Electro-Oculography". W Principles and Practice of Clinical Electrophysiology of Vision. The MIT Press, 2006. http://dx.doi.org/10.7551/mitpress/5557.003.0007.

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Walczak, Thaddeus S., i Sudhansu Chokroverty. "Electroencephalography, Electromyography, and Electro-Oculography". W Sleep Disorders Medicine, 157–81. Elsevier, 2009. http://dx.doi.org/10.1016/b978-0-7506-7584-0.00012-4.

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Streszczenia konferencji na temat "Electro-oculography"

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Asmar Putra, Iqbal Kurniawan, Muhammad Ainul Fikri, Syukron Abu Ishaq Alfarozi i Sunu Wibirama. "Review of Feature Extraction on Video-Oculography (VOG) and Electro-Oculography (EOG) Signals". W 2022 IEEE International Conference on Cybernetics and Computational Intelligence (CyberneticsCom). IEEE, 2022. http://dx.doi.org/10.1109/cyberneticscom55287.2022.9865308.

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Yagi, Tohru. "Eye-gaze interfaces using electro-oculography (EOG)". W the 2010 workshop. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/2002333.2002338.

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Pingali, Theja Ram, Sarthak Dubey, Anurag Shivaprasad, Arpit Varshney, Satish Ravishankar, Govinda Ram Pingali, Niyanth Krishna Polisetty, Nikhil Manjunath i Padmaja K.V. "Eye-gesture controlled intelligent wheelchair using Electro-Oculography". W 2014 IEEE International Symposium on Circuits and Systems (ISCAS). IEEE, 2014. http://dx.doi.org/10.1109/iscas.2014.6865572.

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Qiuping Ding, Kaiyu Tong i Guang Li. "Development of an EOG (Electro-Oculography) Based Human-Computer Interface". W 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference. IEEE, 2005. http://dx.doi.org/10.1109/iembs.2005.1616073.

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Abdo, Yassmina, Ehab Yahya, Hussein Ismail, Mostafa Saleh, Radwa Reda i Howida A. Shedeed. "Attention Detection using Electro-oculography Signals in E-learning Environment". W 2021 Tenth International Conference on Intelligent Computing and Information Systems (ICICIS). IEEE, 2021. http://dx.doi.org/10.1109/icicis52592.2021.9694237.

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Yagi, Tohru, Yoshiaki Kuno, Kazuo Koga i Toshiharu Mukai. "Drifting and Blinking Compensation in Electro-oculography (EOG) Eye-gaze Interface". W 2006 IEEE International Conference on Systems, Man and Cybernetics. IEEE, 2006. http://dx.doi.org/10.1109/icsmc.2006.384613.

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Lopez, A., I. Rodriguez, F. J. Ferrero, M. Valledor i J. C. Campo. "Low-cost system based on electro-oculography for communication of disabled people". W 2014 11th International Multi-Conference on Systems, Signals & Devices (SSD). IEEE, 2014. http://dx.doi.org/10.1109/ssd.2014.6808755.

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Virkkala, Jussi, Joel Hasan, Alpo Varri, Eero Huupponen, Sari-Leena Himanen i Kiti Muller. "Reducing the Effects of Electrocardiographic Artifacts on Electro-oculography in Automatic Sleep Analysis". W 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2007. http://dx.doi.org/10.1109/iembs.2007.4352359.

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Garcia-Bermudez, Rodolfo, Fernando Rojas Ruiz, Jesus Gonzalez Penalver, Olga Valenzuela Cansino, Luis Velazquez Perez, Cira Torres i Roberto Becerra-Garcia. "Evaluation of electro-oculography data for ataxia SCA-2 classification: A blind source separation approach". W 2010 10th International Conference on Intelligent Systems Design and Applications (ISDA). IEEE, 2010. http://dx.doi.org/10.1109/isda.2010.5687258.

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Niemenlehto, Pekka-Henrik, i Martti Juhola. "Application of the Cell Averaging Constant False Alarm Rate Technique to Saccade Detection in Electro-oculography". W 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2007. http://dx.doi.org/10.1109/iembs.2007.4352358.

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