Results 21 to 30 of about 6,613 (252)

A comprehensive electrooculography measurement system and protocols for screening myasthenia gravis. [PDF]

MethodsX
Le TL, Boulos MI, Yang D, Berger S, Irannejad M, Figueroa CM, Thorpe KE, Murray B, Krishnan S, Sundaram ANE, Katzberg H, Umapathy K.   +11 more
europepmc   +2 more sources

Electrooculography in Marketing

, 2016
This article delas EOG analysis for marketing studies. Evaluation is performed using three methods. Data was recorded from 10 respondents. Proposed algorithm is realized in Matlab workspace.
František Fajmon
openaire   +2 more sources

Some Psychological Responses Measured by a Commercial Electrooculography Sensor and Its Applicability

Procedia Computer Science, 2018
Hideyuki Kanematsu, Dana M Barry, Nobuyuki Ogawa   +2 more
exaly   +2 more sources

Exploring the clinical diagnostic value of linguistic learning ability in patients with disorders of consciousness using electrooculography

NeuroImage
Junhua Ding, Sara Cruz, Nai Ding
exaly   +2 more sources

Señales EOG: una revisión sobre procesamiento y aplicaciones

Mundo Fesc, 2022
This paper presents a review of electrooculography signal processing and applications. First, it presents a general framework for using these signals. It then describes cutting-edge research on systems based on electrooculography signals.
David Escobar-Valencia, Fernando Jesús Regino-Ubarnes, Diana Yamileth Velásquez-Maldonado   +2 more
doaj   +1 more source

The challenge of measuring physiological parameters during motor imagery engagement in patients after a stroke

Frontiers in Neuroscience, 2023
IntroductionIt is suggested that eye movement recordings could be used as an objective evaluation method of motor imagery (MI) engagement. Our investigation aimed to evaluate MI engagement in patients after stroke (PaS) compared with physical execution ...
Szabina Gäumann, Efe Anil Aksöz, Frank Behrendt, Frank Behrendt, Jasmin Wandel, Letizia Cappelletti, Annika Krug, Daniel Mörder, Annika Bill, Katrin Parmar, Katrin Parmar, Hans Ulrich Gerth, Hans Ulrich Gerth, Leo H. Bonati, Leo H. Bonati, Leo H. Bonati, Corina Schuster-Amft, Corina Schuster-Amft, Corina Schuster-Amft   +18 more
doaj   +1 more source

Sensor-Based Classification of Primary and Secondary Car Driver Activities Using Convolutional Neural Networks

Sensors, 2023
To drive safely, the driver must be aware of the surroundings, pay attention to the road traffic, and be ready to adapt to new circumstances. Most studies on driving safety focus on detecting anomalies in driver behavior and monitoring cognitive ...
Rafał Doniec, Justyna Konior, Szymon Sieciński, Artur Piet, Muhammad Tausif Irshad, Natalia Piaseczna, Md Abid Hasan, Frédéric Li, Muhammad Adeel Nisar, Marcin Grzegorzek   +9 more
doaj   +1 more source

Temporal Feature Extraction and Machine Learning for Classification of Sleep Stages Using Telemetry Polysomnography

Brain Sciences, 2023
Accurate sleep stage detection is crucial for diagnosing sleep disorders and tailoring treatment plans. Polysomnography (PSG) is considered the gold standard for sleep assessment since it captures a diverse set of physiological signals.
Utkarsh Lal, Suhas Mathavu Vasanthsena, Anitha Hoblidar   +2 more
doaj   +1 more source

Use of Force Feedback Device in a Hybrid Brain-Computer Interface Based on SSVEP, EOG and Eye Tracking for Sorting Items

Sensors, 2021
Research focused on signals derived from the human organism is becoming increasingly popular. In this field, a special role is played by brain-computer interfaces based on brainwaves.
Arkadiusz Kubacki
doaj   +1 more source

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