Results 11 to 20 of about 9,698 (215)

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
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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
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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
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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
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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
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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
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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
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The Relationship between Stress Levels Measured by a Questionnaire and the Data Obtained by Smart Glasses and Finger Pulse Oximeters among Polish Dental Students

Applied Sciences, 2021
Stress is a physical, mental, or emotional response to a change and is a significant problem in modern society. In addition to questionnaires, levels of stress may be assessed by monitoring physiological signals, such as via photoplethysmogram (PPG ...
Katarzyna Mocny-Pachońska, Rafał J. Doniec, Szymon Sieciński, Natalia J. Piaseczna, Marek Pachoński, Ewaryst J. Tkacz   +5 more
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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
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Technical Performance of Textile-Based Dry Forehead Electrodes Compared With Medical-Grade Overnight Home Sleep Recordings

IEEE Access, 2021
The current clinically used electroencephalography (EEG) sensors are not self-applicable. This complicates the recording of the brain’s electrical activity in unattended home polysomnography (PSG).
Matias Rusanen, Samu Kainulainen, Henri Korkalainen, Laura Kalevo, Katja Myllymaa, Timo Leppanen, Juha Toyras, Erna Sif Arnardottir, Sami Myllymaa   +8 more
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