Results 41 to 50 of about 11,374 (276)

Review of electrooculography-based human-computer interaction: recent technologies, challenges and future trends

Connected Health And Telemedicine, 2023
Electrooculography-based Human-Computer Interaction (EOG-HCI) is an emerging field. Research in this domain aims to capture eye movement patterns by measuring the corneal-retinal potential difference. This enables translating eye movements into commands,
Linkai Tao, Hao Huang, Chen Chen, L. Feijs, Jun Hu, Wei Chen   +5 more
semanticscholar   +1 more source

The status of textile-based dry EEG electrodes [PDF]

, 2021
Electroencephalogram (EEG) is the biopotential recording of electrical signals generated by brain activity. It is useful for monitoring sleep quality and alertness, clinical applications, diagnosis, and treatment of patients with epilepsy, disease of ...
Fante, Kinde Anlay, Malengier, Benny, Tseghai, Granch Berhe, Van Langenhove, Lieva   +3 more
core   +1 more source

The Relationship between Stress Levels Measured by a Questionnaire and the Data Obtained by Smart Glasses and Finger Pulse Oximeters among Polish Dental Students

Applied Sciences, 2021
Stress is a physical, mental, or emotional response to a change and is a significant problem in modern society. In addition to questionnaires, levels of stress may be assessed by monitoring physiological signals, such as via photoplethysmogram (PPG ...
Katarzyna Mocny-Pachońska, Rafał J. Doniec, Szymon Sieciński, Natalia J. Piaseczna, Marek Pachoński, Ewaryst J. Tkacz   +5 more
doaj   +1 more source

Technical Performance of Textile-Based Dry Forehead Electrodes Compared With Medical-Grade Overnight Home Sleep Recordings

IEEE Access, 2021
The current clinically used electroencephalography (EEG) sensors are not self-applicable. This complicates the recording of the brain’s electrical activity in unattended home polysomnography (PSG).
Matias Rusanen, Samu Kainulainen, Henri Korkalainen, Laura Kalevo, Katja Myllymaa, Timo Leppanen, Juha Toyras, Erna Sif Arnardottir, Sami Myllymaa   +8 more
doaj   +1 more source

Implementation of a Convolutional Neural Network for Eye Blink Artifacts Removal From the Electroencephalography Signal

Frontiers in Neuroscience, 2022
Electroencephalography (EEG) signals are disrupted by technical and physiological artifacts. One of the most common artifacts is the natural activity that results from the movement of the eyes and the blinking of the subject.
Marcin Jurczak, Marcin Kołodziej, Andrzej Majkowski   +2 more
doaj   +1 more source

eyeSay: Brain Visual Dynamics Decoding With Deep Learning & Edge Computing

IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2022
Brain visual dynamics encode rich functional and biological patterns of the neural system, and if decoded, are of great promise for many applications such as intention understanding, cognitive load quantization and neural disorder measurement.
Jiadao Zou, Qingxue Zhang
doaj   +1 more source

Brain-Controlled, AR-Based Home Automation System Using SSVEP-Based Brain-Computer Interface and EOG-Based Eye Tracker: A Feasibility Study for the Elderly End User

IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023
Over the past decades, brain-computer interfaces (BCIs) have been developed to provide individuals with an alternative communication channel toward external environment.
Seonghun Park, Jisoo Ha, Jimin Park, Kyeonggu Lee, Chang-Hwan Im   +4 more
doaj   +1 more source

Non spontaneous saccadic movements identification in clinical electrooculography using machine learning [PDF]

, 2015
In this paper we evaluate the use of the machine learning algorithms Support Vector Machines, K-Nearest Neighbors, CART decision trees and Naive Bayes to identify non spontaneous saccades in clinical electrooculography tests.
Becerra-García, Roberto Antonio, Cuevas-Beltrán, Franger, Fernández-Higuera, Abel, García-Bermúdez, Rodolfo, García-Lagos, Francisco, Joya-Caparrós, Gonzalo, Rodríguez-Labrada, Roberto, Velázquez-Mariño, Michel, Velázquez-Rodríguez, Camilo   +8 more
core   +1 more source

NORMAL ELECTROOCULOGRAPHY IN BEST DISEASE AND AUTOSOMAL RECESSIVE BESTROPHINOPATHY [PDF]

Retina, 2018
Purpose: To evaluate the electrooculogram (EOG) in a large series of patients with Best disease and autosomal recessive bestrophinopathy. Methods: A retrospective review of consecutive cases at Moorfields Eye Hospital, London, United Kingdom.
Andrew R. Webster, Andrew R. Webster, Farrah Islam, Anthony G. Robson, Anthony G. Robson, Anthony T. Moore, Anthony T. Moore, Anthony T. Moore, Graham E. Holder, Graham E. Holder, Michel Michaelides, Michel Michaelides, Kamron N. Khan, Kamron N. Khan   +13 more
openaire   +4 more sources

Unsupervised learning as a complement to convolutional neural network classification in the analysis of saccadic eye movement in spino-cerebellar ataxia type 2 [PDF]

, 2019
IWANN es un congreso internacional que se celebra bienalmente desde 1991. Su campo de estudio se centra en la fundamentación y aplicación de las distintas técnicas de Inteligencia Computacional : Redes Neuronales Artificiales, Algoritmos Genéticos ...
A Esteva, Catalin Stoean, D Lichtblau, G Litjens, L Velázquez-Pérez, MA Atencia, RA Becerra-García, TJ Cleophas, Z Obermeyer   +8 more
core   +1 more source