Results 21 to 30 of about 10,182 (254)

Eye Fatigue Detection through Machine Learning Based on Single Channel Electrooculography

open access: yesAlgorithms, 2022
Nowadays, eye fatigue is becoming more common globally. However, there was no objective and effective method for eye fatigue detection except the sample survey questionnaire. An eye fatigue detection method by machine learning based on the Single-Channel
Yuqi Wang, Lijun Zhang, Zhen Fang
doaj   +1 more source

Señales EOG: una revisión sobre procesamiento y aplicaciones

open access: yesMundo 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   +2 more
doaj   +1 more source

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

open access: yesFrontiers 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   +18 more
doaj   +1 more source

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

open access: yesSensors, 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   +9 more
doaj   +1 more source

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

open access: yesBrain 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   +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

open access: yesSensors, 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

Review Article. Role of Electrophysiological Methods in Diagnosis of Hereditary Retinal Dystrophies [PDF]

open access: yesInternational Journal Bioautomation, 2021
The aim of the study is to present the different electrophysiological methods (EF) for study the retinal function and to highlight their importance in the diagnosis of hereditary retinal dystrophies (HRDs).
Elena Mermeklieva
doaj   +1 more source

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