Results 51 to 60 of about 6,613 (252)
Automatic sleep stage detection based on electrooculography
, 2015 Scientists concentrate on the assessment of the micro and macro structure of sleep and the associated physiological activities in sleep. Their achievements heavily rely on the use of technology.
Huslaile Abdullah (19998984) +2 more
core +2 more sources
Differential diagnosis of solar maculopathy and congenital cone dystrophy: a clinical case
Российский офтальмологический журнал, 2023 The main symptoms of solar maculopathy are central visual acuity decrease, the onset of central scotoma, photophobia, metamorphopsia and dyschromatopsia.
I. E. Ioshin, D. A. Merkushenkova
doaj +1 more source
Advanced Materials Technologies, EarlyView.This article highlights the development of robust and high‐performance flexible and stretchable biosensors that maintain long‐term functionality and optimal electrical conductivity under mechanical deformation, utilizing sustainable and cost‐effective manufacturing principles.
Mousa H. Aldosari, Ahyeon Koh
wiley +1 more source
Inhibitory Decay and Supercritical Brain Dynamics During Sleep Deprivation
Advanced Science, EarlyView.Sleep deprivation progressively shifts human brain dynamics from near‐critical toward supercritical states, as revealed by neuronal avalanche analysis of resting‐state fMRI. These changes track subjective sleep pressure rather than vigilance lapses and show marked network heterogeneity. A circuit model suggests that reduced inhibitory efficacy provides
Dai Zhang +6 more
wiley +1 more source
Sensors, 2021 Analysis of biomedical signals is a very challenging task involving implementation of various advanced signal processing methods. This area is rapidly developing.
Radek Martinek +6 more
doaj +1 more source
Full‐Stack Architectures for Intelligent Brain‐Computer Interfaces
Advanced Science, EarlyView.System‐level overview of brain–computer interfaces (BCIs), illustrating the integration of neural signal acquisition, wireless transmission, and adaptive decoding. Advanced electrode, tissue interfaces, energy‐efficient communication, and robust algorithms collectively enable stable signal quality, real‐time processing, and closed‐loop operation ...
Hee Kyu Lee +9 more
wiley +1 more source
Advances in Materials, Sensors, and Integrated Systems for Monitoring Eye Movements
Biosensors, 2022 Eye movements show primary responses that reflect humans’ voluntary intention and conscious selection. Because visual perception is one of the fundamental sensory interactions in the brain, eye movements contain critical information regarding physical ...
Seunghyeb Ban +4 more
doaj +1 more source
Non spontaneous saccadic movements identification in clinical electrooculography using machine learning [PDF]
, 2015 In this paper we evaluate the use of the machine learning algorithms Support Vector Machines, K-Nearest Neighbors, CART decision trees and Naive Bayes to identify non spontaneous saccades in clinical electrooculography tests.
Franger Cuevas-Beltrán +17 more
core +1 more source
Retinal Screening of Coats Disease Using Electrooculography
, 2022 Background: Coats disease is a retinal disorder characterized by the abnormal dilation of blood vessels within the human retina. This study aimed to evaluate the electrooculography (EOG) in patients diagnosed with Coats disease.
Adhami-Moghadam, Farhad +1 more
core +1 more source
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.This article describes a multimodal fusion data acquisition and processing system about electromyography for dynamic movement recognition and bioelectrical impedance for key posture recognition. In addition, a new dynamic–static fusion algorithm strategy is designed.
Chenhao Cao +5 more
wiley +1 more source