Results 41 to 50 of about 6,719 (207)

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

Electrooculography-controlled Cursor [PDF]

, 2021
People with motor disabilities or those with amputated limbs may lack the capability to operate a computer using a standard mouse. In today's world, the use of a computer is necessary for everyday tasks and the inability to use a computer can be a huge ...
Dulzo, Elizabeth, Abdullah, Samina, Ismail, Samy, Ahamparam, Aidan   +3 more
core   +1 more source

Electrooculography

, 2012
This thesis deals with principles of electrooculography and methods used for its applications. Then there are some properities of electrooculography (EOG) signal.
Mošnerová, Jitka
core   +2 more sources

Rancang Bangun Sistem Penggerak Robot Dengan Pengendali Electrooculography [PDF]

, 2018
Robot merupakan suatu mesin yang dirancang untuk membantu atau menggantikan peranan manusia dalam mengerjakan tugas yang berat atau tugas sehari-hari. Robot dapat dikendalikan oleh manusia, salah satunya dengan memanfaatkan beda potensial listrik dari ...
Toni, Hilman
core   +1 more source

Retinal Screening of Coats Disease Using Electrooculography [PDF]

, 2022
Background: Coats disease is a retinal disorder characterized by the abnormal dilation of blood vessels within the human retina. This study aimed to evaluate the electrooculography (EOG) in patients diagnosed with Coats disease.
Adhami-Moghadam, Farhad, Shushtarian, Seyed Mohammad Masoud   +1 more
core   +1 more source

Acute mixed vestibulopathy. History case from the vestibulologist practice. Case report

Consilium Medicum, 2023
Patients with acute vestibulopathy are among the most uneasy (in terms of severity of symptoms) and challenging (in terms of determining the level of damage).
Sergei V. Lilenko, Dmitry S. Luppov
doaj   +1 more source

Fatigue evaluation using electrooculography

, 2014
The master´s thesis deals with fatigue evaluation in electrooculography records (EOG). The theoretical part focuses on electrooculography itself, fatigue and methods used for fatigue detection from EOG.
Němcová, Andrea
core   +2 more sources

From Sensing Mechanisms to System Co‐Design: Graphene‐Based Sensors and Readout Circuits

Advanced Science, EarlyView.
This review establishes a unified PS–EQ–RF framework linking graphene sensing mechanisms, native electrical outputs, and output‐specific readout circuits. Voltage‐, current‐, resistance‐, and capacitance‐type sensing systems are systematically classified to guide architecture selection, low‐noise design, system co‐design, and practical integration ...
Jinduo Zhang, Meng Chen, Guanchen Li, Ruifeng Liu, Yingxin Wang, Ziran Zhao   +5 more
wiley   +1 more source

A High‐Precision Dynamic Movement Recognition Algorithm Using Multimodal Biological Signals for Human–Machine Interaction

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This article describes a multimodal fusion data acquisition and processing system about electromyography for dynamic movement recognition and bioelectrical impedance for key posture recognition. In addition, a new dynamic–static fusion algorithm strategy is designed.
Chenhao Cao, Gang Ma, Zelin Chen, Yiming Ouyang, Hu Jin, Shiwu Zhang   +5 more
wiley   +1 more source

Automatic sleep stage detection based on electrooculography

, 2015
Scientists concentrate on the assessment of the micro and macro structure of sleep and the associated physiological activities in sleep. Their achievements heavily rely on the use of technology.
Huslaile Abdullah (19998984), Dean Cvetkovic (19971225), Emad Abdulhadi A Malaekah (19995948)   +2 more
core   +2 more sources