Results 91 to 100 of about 874,261 (376)
Scale-invariance of human EEG signals in sleep [PDF]
We investigate the dynamical properties of electroencephalogram (EEG) signals of human in sleep. By using a modified random walk method, We demonstrate that the scale-invariance is embedded in EEG signals after a detrending procedure.
A. L. Goldberger +12 more
core +2 more sources
Refractory Status Epilepticus Treated With Bilateral Pulvinar Deep Brain Stimulation—A Case Study
ABSTRACT New‐onset refractory status epilepticus (NORSE) arises without an identifiable cause or prior epilepsy history, with a 16%–27% mortality rate and significant long‐term neurological sequelae. Neuromodulation such as deep brain stimulation (DBS) targeting the anterior and centromedian thalamic nuclei has shown promise when the traditional ...
Mengxuan Tang +16 more
wiley +1 more source
Functional Connectivity Linked to Cognitive Recovery After Minor Stroke
ABSTRACT Objective Patients with minor stroke exhibit slowed processing speed and generalized alterations in functional connectivity involving frontoparietal cortex (FPC). The pattern of connectivity evolves over time. In this study, we examine the relationship of functional connectivity patterns to cognitive performance, to determine ...
Vrishab Commuri +7 more
wiley +1 more source
Deltagende borgere i Energibyen Frederikshavn
Anders Horsbøl and Lisbeth Eeg Deltagende borgere i Energibyen Frederikshavn (Participating citizen in the Energy City of Frederikshavn). Denmark has some experience with local participation of citizens in projects in which energy saving "green" or ...
Anders Horsbøl, Lisbeth Eeg
doaj +1 more source
In this paper, we present DREAMER, a multimodal database consisting of electroencephalogram (EEG) and electrocardiogram (ECG) signals recorded during affect elicitation by means of audio-visual stimuli.
Stamos Katsigiannis, N. Ramzan
semanticscholar +1 more source
Multi-Person Brain Activity Recognition via Comprehensive EEG Signal Analysis
An electroencephalography (EEG) based brain activity recognition is a fundamental field of study for a number of significant applications such as intention prediction, appliance control, and neurological disease diagnosis in smart home and smart ...
Gu, Tao +5 more
core +1 more source
Do Complexity Measures of Frontal EEG Distinguish Loss of Consciousness in Geriatric Patients Under Anesthesia? [PDF]
While geriatric patients have a high likelihood of requiring anesthesia, they carry an increased risk for adverse cognitive outcomes from its use. Previous work suggests this could be mitigated by better intraoperative monitoring using indexes defined by
Caitlin M. Drover +8 more
core +2 more sources
ABSTRACT Objective Accurate localization of epileptogenic tubers (ETs) in patients with tuberous sclerosis complex (TSC) is essential but challenging, as these tubers lack distinct pathological or genetic markers to differentiate them from other cortical tubers.
Tinghong Liu +11 more
wiley +1 more source
A large-scale evaluation framework for EEG deep learning architectures
EEG is the most common signal source for noninvasive BCI applications. For such applications, the EEG signal needs to be decoded and translated into appropriate actions.
Ball, Tonio +5 more
core +1 more source
Prismatic adaptation modulates oscillatory EEG correlates of motor preparation but not visual attention in healthy participants [PDF]
Prismatic adaption (PA) has been proposed as a tool to induce neural plasticity and is used to help neglect rehabilitation. It leads to a recalibration of visuo-motor coordination during pointing as well as to after-effects on a number of sensorimotor ...
Bracco, Martina +3 more
core +4 more sources

