Results 21 to 30 of about 10,162 (234)

EOG-Based Human–Computer Interface: 2000–2020 Review

Sensors, 2022
Electro-oculography (EOG)-based brain–computer interface (BCI) is a relevant technology influencing physical medicine, daily life, gaming and even the aeronautics field.
Chama Belkhiria, Atlal Boudir, Christophe Hurter, Vsevolod Peysakhovich   +3 more
doaj   +1 more source

Peer Review of “State Anxiety Biomarker Discovery: Electrooculography and Electrodermal Activity in Stress Monitoring (Preprint)” [PDF]

JMIRx Med
Saderi D, Rasania S, Olatoye T, Mahmoud R.   +3 more
europepmc   +3 more sources

Novel methods for elucidating modality importance in multimodal electrophysiology classifiers

Frontiers in Neuroinformatics, 2023
IntroductionMultimodal classification is increasingly common in electrophysiology studies. Many studies use deep learning classifiers with raw time-series data, which makes explainability difficult, and has resulted in relatively few studies applying ...
Charles A. Ellis, Charles A. Ellis, Mohammad S. E. Sendi, Mohammad S. E. Sendi, Rongen Zhang, Darwin A. Carbajal, May D. Wang, Robyn L. Miller, Robyn L. Miller, Vince D. Calhoun, Vince D. Calhoun, Vince D. Calhoun   +11 more
doaj   +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

Eye Position Shifts Body Sway Under Foot Dominance Bias in the Absence of Visual Feedback

Frontiers in Neurology, 2022
PurposeThe purpose of this study was to investigate whether information on extraocular muscle proprioception without visual information affects postural control.MethodsThirty-five healthy young volunteers participated in the study.
Yoshiki Tamaru, Akiyoshi Matsugi
doaj   +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