Results 31 to 40 of about 11,374 (276)

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

Frontiers 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, Efe Anil Aksöz, Frank Behrendt, Frank Behrendt, Jasmin Wandel, Letizia Cappelletti, Annika Krug, Daniel Mörder, Annika Bill, Katrin Parmar, Katrin Parmar, Hans Ulrich Gerth, Hans Ulrich Gerth, Leo H. Bonati, Leo H. Bonati, Leo H. Bonati, Corina Schuster-Amft, Corina Schuster-Amft, Corina Schuster-Amft   +18 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

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

Sensors, 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, Justyna Konior, Szymon Sieciński, Artur Piet, Muhammad Tausif Irshad, Natalia Piaseczna, Md Abid Hasan, Frédéric Li, Muhammad Adeel Nisar, Marcin Grzegorzek   +9 more
doaj   +1 more source

Automated detection of quiet eye durations in archery using electrooculography and comparative deep learning models [PDF]

BMC Sports Sci Med Rehabil
Söğüt F, Yanık H, Değirmenci E, Kesilmiş İ, Çömelekoğlu Ü.   +4 more
europepmc   +2 more sources

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

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

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

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

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

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

Bioengineering, 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, Cong Fu, Feng Shu, Huan Yu, Chen Chen, W. Chen   +5 more
semanticscholar   +1 more source