Results 41 to 50 of about 11,705 (281)

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

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

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

EOGNET: A Novel Deep Learning Model for Sleep Stage Classification Based on Single-Channel EOG Signal

Frontiers in Neuroscience, 2021
In recent years, automatic sleep staging methods have achieved competitive performance using electroencephalography (EEG) signals. However, the acquisition of EEG signals is cumbersome and inconvenient.
Jiahao Fan, Jiahao Fan, Chenglu Sun, Meng Long, Chen Chen, Wei Chen, Wei Chen   +6 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

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

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

Electroencephalography and Electrooculography in Dogs

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 ...
Çağın Çevi̇k, Ezgi Kaya, Bikem Turanoğlu, Duygu Tarhan, Bengü Bilgiç, A. Ercan, E. Or   +6 more
semanticscholar   +1 more source

Using natural head movements to continually calibrate EOG signals

Journal of Eye Movement Research, 2022
Electrooculography (EOG) is the measurement of eye movements using surface electrodes adhered around the eye. EOG systems can be designed to have an unobtrusive form-factor that is ideal for eye tracking in free-living over long durations, but the ...
Jason Nezvadovitz, Hrishikesh Rao
doaj   +1 more source

Proposals and Comparisons from One-Sensor EEG and EOG Human-Machine Interfaces

Sensors, 2021
Human-Machine Interfaces (HMI) allow users to interact with different devices such as computers or home elements. A key part in HMI is the design of simple non-invasive interfaces to capture the signals associated with the user’s intentions. In this work,
Francisco Laport, Daniel Iglesia, Adriana Dapena, Paula M. Castro, Francisco J. Vazquez-Araujo   +4 more
doaj   +1 more source