Results 51 to 60 of about 5,275 (185)
Hybrid System for Engagement Recognition During Cognitive Tasks Using a CFS + KNN Algorithm
Engagement is described as a state in which an individual involved in an activity can ignore other influences. The engagement level is important to obtaining good performance especially under study conditions. Numerous methods using electroencephalograph
Fadilla Zennifa +3 more
doaj +1 more source
ABSTRACT Sleep bruxism (SB) has been reportedly associated with temporomandibular disorder (TMD); however, solid evidence is lacking. Previous studies have primarily used traditional metrics, such as the masticatory muscle activity (MMA) index and bruxism time index (BTI) to investigate the link between SB and TMD.
Minna Pitkänen +8 more
wiley +1 more source
Noninvasive Intelligent Brain‐Metasurface System for Real‐Time Electromagnetic Wave Manipulation
A noninvasive intelligent brain–computer interface (BCI) is integrated with a reconfigurable metasurface to establish a direct neural‐to electromagnetic transduction pathway for real time, multimodal wave control. By combining convolutional‐neural‐network‐based decoding of motor‐imagery electroencephalography (EEG) signals with threshold‐based ...
Xiao Hai +3 more
wiley +1 more source
Best vitelliform macular dystrophy (VMD) is an autosomal dominant macular dystrophy caused by heterozygous mutations in the bestrophin1 gene. Patients with this condition typically have an abnormal electrooculogram. We report a case of a 16-year-old male
Mohamed Al-Abri +5 more
doaj +1 more source
Electro-oculography in bilateral optic neuropathy
Objective Effect of bilateral, optic neuropathy on the function of retinal pigment epithelium has not been investigated extensively to date. This study aimed to determine the effect of bilateral, optic neuropathy on light peak:dark trough ratio, light ...
Padmini Dahanayake +5 more
doaj +1 more source
ABSTRACT Digital technologies, including sleep‐tracking devices and smart mattresses, are becoming increasingly prevalent for gaining certainty and insight into unconscious behaviours such as sleepwalking. Sleepwalking, also known as somnambulism, is difficult to diagnose because it is episodic and unpredictable.
Svenja Reinhardt, Nico Wettmann
wiley +1 more source
Electrooculography (EOG) serves as a widely employed technique for tracking saccadic eye movements in a diverse array of applications. These encompass the identification of various medical conditions and the development of interfaces facilitating human ...
Palpolage Don Shehan Hiroshan Gunawardane +5 more
doaj +1 more source
Sleep Oscillations Across Cortical, Subcortical and Cerebellar Structures in Magnetoencephalography
This study uses source‐localised MEG to characterise oscillatory whole brain activity across NREM sleep stages, including the cerebellum. Findings reveal distinct, stage‐ and frequency‐specific patterns, with cerebellar signals reliably differentiable and engaged during sigma‐band activity in N2 sleep, highlighting the cerebellum's contribution to ...
Keelin Greenlaw +4 more
wiley +1 more source
Neural Sensitivity to Conversational Inter‐Speaker Gaps in the Broad Autism Phenotype
ABSTRACT Pragmatic language differences are present in the broad autism phenotype (BAP). Objective markers of pragmatic language subprocesses, such as inter‐speaker turn‐taking, may enhance understanding of these differences. Here, we examined how neural and behavioral responses elicited by inter‐speaker turn‐taking are related to the BAP, using well ...
Wei Siong Neo +5 more
wiley +1 more source
An Affordable Method for Evaluation of Ataxic Disorders Based on Electrooculography
Ataxias are a group of neurodegenerative disorders characterized by cerebellar dysfunction that cause irregularities in the rate, rhythm, amplitude, and force of voluntary movements.
Alberto López +2 more
doaj +1 more source

