Results 71 to 80 of about 647,303 (326)
Multi-Person Brain Activity Recognition via Comprehensive EEG Signal Analysis
, 2017 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
Electroencephalogram of Healthy Horses During Inhaled Anesthesia. [PDF]
, 2015 BackgroundPrevious study of the diagnostic validity of electroencephalography (EEG) to detect abnormalities in equine cerebral cortical function relied on the administration of various drugs for sedation, induction, and maintenance of general anesthesia ...
Aleman, MR +8 more
core +1 more source
Harmonized multi‐metric and multi‐centric assessment of EEG source space connectivity for dementia characterization [PDF]
, 2023 Pavel Prado +11 more
openalex +1 more source
Annals of Clinical and Translational Neurology, EarlyView.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 New Approach to Automated Epileptic Diagnosis Using EEG and Probabilistic Neural Network
, 2008 Epilepsy is one of the most common neurological disorders that greatly impair patient' daily lives. Traditional epileptic diagnosis relies on tedious visual screening by neurologists from lengthy EEG recording that requires the presence of seizure (ictal)
Bao, Forrest Sheng +2 more
core +1 more source
Revealing spatio-spectral electroencephalographic dynamics of musical mode and tempo perception by independent component analysis. [PDF]
, 2014 BackgroundMusic conveys emotion by manipulating musical structures, particularly musical mode- and tempo-impact. The neural correlates of musical mode and tempo perception revealed by electroencephalography (EEG) have not been adequately addressed in the
Chen, Jyh-Horng +4 more
core +3 more sources
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Status epilepticus (SE) is associated with significant mortality. Sleep architecture may reflect normal brain function. Impaired sleep architecture is associated with poorer outcomes in numerous conditions. Here we investigate the association of sleep architecture in continuous EEG (cEEG) with survival in SE.
Ran R. Liu +5 more
wiley +1 more source
Deep Learning of Human Perception in Audio Event Classification
, 2018 In this paper, we introduce our recent studies on human perception in audio event classification by different deep learning models. In particular, the pre-trained model VGGish is used as feature extractor to process audio data, and DenseNet is trained by
Beuret, Samuel +3 more
core +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective People with epilepsy (PWE) may experience cognitive deficits but fail to undergo formal evaluation. This study compares cognitive status between PWE and healthy controls in the West African Republic of Guinea. Methods A cross‐sectional, case–control study was conducted in sequential recruitment phases (July 2024–July 2025) at Ignace ...
Maya L. Mastick +14 more
wiley +1 more source
, 2003 We present a contribution of higher order to neutrino-electron scattering that is a charged-current counterpart of both the anomalous axial-vector triangle and possible non-standard interaction contributions.
Ahmad +5 more
core +1 more source