Results 61 to 70 of about 5,095 (182)

ELECTROOCULOGRAPHY AND PATTERN ERG IN THE DIAGNOSTICS OF BEST’S VITELLIFORM DISTROPHY

Zdravniški Vestnik, 2002
Background. The aim of the study was to develop electrooculography in accordance with ISCEV standards and to test its accuracy in the diagnosis of Best’s disease, where the EOG results should be invariably abnormal in all affected members.
Martina Jarc-Vidmar, Petra Popović, Marko Hawlina, Jelka Brecelj   +3 more
doaj  

Flexible Sensor‐Based Human–Machine Interfaces with AI Integration for Medical Robotics

Advanced Robotics Research, Volume 2, Issue 1, February 2026.
This review explores how flexible sensing technology and artificial intelligence (AI) significantly enhance human–machine interfaces in medical robotics. It highlights key sensing mechanisms, AI‐driven advancements, and applications in prosthetics, exoskeletons, and surgical robotics.
Yuxiao Wang, Zhipeng Jiang, Sun Hwa Kwon, Matthew Ibrahim, Alexander Dang, Lin Dong   +5 more
wiley   +1 more source

An Affordable Method for Evaluation of Ataxic Disorders Based on Electrooculography

Sensors, 2019
Ataxias are a group of neurodegenerative disorders characterized by cerebellar dysfunction that cause irregularities in the rate, rhythm, amplitude, and force of voluntary movements.
Alberto López, Francisco Ferrero, Octavian Postolache   +2 more
doaj   +1 more source

End-to-end reading classification in the wild using 2D EOG signal images and ResNet variants

ETRI Journal
User reading status provides valuable insights into cognitive processes. Most reading classification methods rely on electrooculography (EOG). However, classifying EOG signals in uncontrolled environments poses challenges because of noise and limited ...
Chi Yoon Jeong, Youngmi Song, Sungjun Wang, Mooseop Kim, SuGil Choi   +4 more
doaj   +1 more source

Wearable Near-Eye Tracking Technologies for Health: A Review

Bioengineering
With the rapid advancement of computer vision, machine learning, and consumer electronics, eye tracking has emerged as a topic of increasing interest in recent years.
Lisen Zhu, Jianan Chen, Huixin Yang, Xinkai Zhou, Qihang Gao, Rui Loureiro, Shuo Gao, Hubin Zhao   +7 more
doaj   +1 more source

Early electroretinografic changes in elderly RA patients treated with hydroxychloroquine

Reumatismo, 2002
Objective: to evaluate the effectiveness of fundoscopy, electrooculography, electroretinogram and visually evoked potentials in early detection of hydroxychloroquine retinal toxicity in RA patients and to evaluate the influence of patients’ age, drug ...
L. Cavagna, P. Rossi, L. Bogliolo, E. Antoniazzi, C. Gelmi, R. Caporali, C. Montecucco   +6 more
doaj   +1 more source

Comparing Eye Tracking with Electrooculography for Measuring Individual Sentence Comprehension Duration.

PLoS ONE, 2016
The aim of this study was to validate a procedure for performing the audio-visual paradigm introduced by Wendt et al. (2015) with reduced practical challenges.
Jana Annina Müller, Dorothea Wendt, Birger Kollmeier, Thomas Brand   +3 more
doaj   +1 more source

Controlling the industrial robot model with the hybrid BCI based on EOG and eye tracking

MATEC Web of Conferences, 2019
The article describes the design process of building a hybrid brain-computer interface based on Electrooculography (EOG) and centre eye tracking.
Kubacki Arkadiusz, Jakubowski Arkadiusz
doaj   +1 more source

A Safe and Efficient Brain–Computer Interface Using Moving Object Trajectories and LED-Controlled Activation

Micromachines
Nowadays, brain–computer interface (BCI) systems are frequently used to connect individuals who have lost their mobility with the outside world. These BCI systems enable individuals to control external devices using brain signals.
Sefa Aydin, Mesut Melek, Levent Gökrem
doaj   +1 more source

Hybrid Brain/Neural Exoskeleton Enables Bimanual ADL Training in Routine Stroke Rehabilitation. [PDF]

Stroke
Colucci A, Vermehren M, Angerhöfer C, Peekhaus N, Kim WS, Chang WK, Hömberg V, Paik NJ, Soekadar SR.   +8 more
europepmc   +1 more source