Results 31 to 40 of about 11,705 (281)

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

Contextual equivalence for accurate comparison of wearables requires transparency. [PDF]

Physiol Rep
Physiological Reports, Volume 13, Issue 23, December 2025.
Dial MB, Hollander ME, Vatne EA, Emerson AM, Edwards NA, Hagen JA.   +5 more
europepmc   +2 more sources

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

Novel methods for elucidating modality importance in multimodal electrophysiology classifiers

Frontiers in Neuroinformatics, 2023
IntroductionMultimodal classification is increasingly common in electrophysiology studies. Many studies use deep learning classifiers with raw time-series data, which makes explainability difficult, and has resulted in relatively few studies applying ...
Charles A. Ellis, Charles A. Ellis, Mohammad S. E. Sendi, Mohammad S. E. Sendi, Rongen Zhang, Darwin A. Carbajal, May D. Wang, Robyn L. Miller, Robyn L. Miller, Vince D. Calhoun, Vince D. Calhoun, Vince D. Calhoun   +11 more
doaj   +1 more source

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

International 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

The status of textile-based dry EEG electrodes [PDF]

, 2021
Electroencephalogram (EEG) is the biopotential recording of electrical signals generated by brain activity. It is useful for monitoring sleep quality and alertness, clinical applications, diagnosis, and treatment of patients with epilepsy, disease of ...
Fante, Kinde Anlay, Malengier, Benny, Tseghai, Granch Berhe, Van Langenhove, Lieva   +3 more
core   +1 more source

Eye Position Shifts Body Sway Under Foot Dominance Bias in the Absence of Visual Feedback

Frontiers in Neurology, 2022
PurposeThe purpose of this study was to investigate whether information on extraocular muscle proprioception without visual information affects postural control.MethodsThirty-five healthy young volunteers participated in the study.
Yoshiki Tamaru, Akiyoshi Matsugi
doaj   +1 more source

Real-time estimation of horizontal gaze angle by saccade integration using in-ear electrooculography

PLoS ONE, 2018
Ľuboš Hládek, Bernd Porr, W Owen Brimijoin   +2 more
exaly   +3 more sources

Implementation of a Convolutional Neural Network for Eye Blink Artifacts Removal From the Electroencephalography Signal

Frontiers in Neuroscience, 2022
Electroencephalography (EEG) signals are disrupted by technical and physiological artifacts. One of the most common artifacts is the natural activity that results from the movement of the eyes and the blinking of the subject.
Marcin Jurczak, Marcin Kołodziej, Andrzej Majkowski   +2 more
doaj   +1 more source