Results 11 to 20 of about 11,705 (281)

An Affordable Method for Evaluation of Ataxic Disorders Based on Electrooculography [PDF]

open access: goldSensors, 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.
Francisco Javier Ferrero Martin   +1 more
exaly   +4 more sources

An Overview of Classification of Electrooculography (EOG) Signals by Machine Learning Methods

open access: yesGazi Üniversitesi Fen Bilimleri Dergisi, 2022
The distribution of the studies conducted between 2011-2021 in the fields of (Electrooculography) EOG and eye movements, EOG and wheelchair, EOG and eye angle, EOG and sleep state, EOG and mood estimation and EOG and game application was determined ...
Alihan SUİÇMEZ   +2 more
doaj   +2 more sources

The Effect of Coupled Electroencephalography Signals in Electrooculography Signals on Sleep Staging Based on Deep Learning Methods [PDF]

open access: goldBioengineering, 2023
The influence of the coupled electroencephalography (EEG) signal in electrooculography (EOG) on EOG-based automatic sleep staging has been ignored. Since the EOG and prefrontal EEG are collected at close range, it is not clear whether EEG couples in EOG ...
Hangyu Zhu   +5 more
openalex   +2 more sources

State Anxiety Biomarker Discovery: Electrooculography and Electrodermal Activity in Stress Monitoring [PDF]

open access: greenarXiv.org
Anxiety has become a significant health concern affecting mental and physical well-being, with state anxiety, a transient emotional response, linked to adverse cardiovascular and long-term health outcomes.
Jadelynn Dao   +3 more
semanticscholar   +4 more sources

A review for filtering techniques of the Electrooculography (EOG) signals [PDF]

open access: hybridGlobal Journal of Engineering and Technology Advances, 2023
Electrooculography (EOG) is a non-invasive method employed for the measurement of the electrical potential produced by ocular movements. EOG signals frequently encounter contamination from diverse forms of interference, thereby impeding precise analysis ...
Aws M Abdullah   +4 more
openalex   +2 more sources

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

open access: yesJMIRx Med
This is a peer-review report for the preprint “State Anxiety Biomarker Discovery: Electrooculography and Electrodermal Activity in Stress Monitoring.”
Saderi D   +3 more
europepmc   +2 more sources

Kontrol Robot Menggunakan Gerakan Mata Berbasis Sinyal Electrooculography (EOG)

open access: yesJurnal ELTIKOM: Jurnal Teknik Elektro, Teknologi Informasi dan Komputer, 2021
Biomedical technology has now been widely adopted as a means of monitoring the human body in real-time. For example, to detect eye movement. In the medical world, eye movement can be used to determine the type of disease.
Kemahyanto Exaudi   +2 more
doaj   +2 more sources

Estimating daytime sleepiness with previous night electroencephalography, electrooculography, and electromyography spectrograms in patients with suspected sleep apnea using a convolutional neural network [PDF]

open access: hybridSleep, 2020
A common symptom of obstructive sleep apnea (OSA) is excessive daytime sleepiness (EDS). The gold standard test for EDS is the multiple sleep latency test (MSLT).
Sami Nikkonen   +8 more
openalex   +2 more sources

Towards Cognitive Load Assessment Using Electrooculography Measures

open access: goldarXiv.org, 2023
Cognitive load assessment is crucial for understanding human performance in various domains. This study investigates the impact of different task conditions and time constraints on cognitive load using multiple measures, including subjective evaluations,
Arash Abbasi Larki   +2 more
openalex   +2 more sources

Reconstructing animated eye movements from electrooculography data to aid the diagnosis of vestibular disorders [PDF]

open access: hybridInternational Journal of Audiology, 2021
Objective To develop a method of visualising electrooculography data to improve the interpretability of nystagmus eye-movements captured using the Continuous Ambulatory Vestibular Assessment (CAVA®) device.
Jacob Newman   +2 more
openalex   +2 more sources

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