Results 51 to 60 of about 189,728 (225)

INCREASED TISSUE TRANSGLUTAMINASE LEVELS ARE ASSOCIATED WITH INCREASED EPILEPTIFORM ACTIVITY IN ELECTROENCEPHALOGRAPHY AMONG PATIENTS WITH CELIAC DISEASE

Arquivos de Gastroenterologia, 2015
Background - Celiac disease is an autoimmune systemic disorder in genetically predisposed individuals precipitated by gluten ingestion. Objective - In this study, we aimed to determine asymptomatic spike-and-wave findings on electroencephalography in ...
Sedat IŞIKAY, Şamil HIZLI, Serkan ÇOŞKUN, Kutluhan YILMAZ   +3 more
doaj   +1 more source

Common Practices in Clinical Electroencephalography

Korean Journal of Clinical Laboratory Science, 2021
Electroencephalography (EEG) provides the most accurate and quickest diagnosis of epilepsy. It is also an important examination for the real-time evaluation of brain function and seizures, no matter where.
Soon-Chul Hyun, Dongyeop Kim
doaj   +1 more source

Sensorimotor integration and motor learning during a novel force-matching task in young adults with attention-deficit/hyperactivity disorder

Frontiers in Human Neuroscience, 2023
IntroductionAttention-Deficit/Hyperactivity Disorder (ADHD) is a neurodevelopmental disorder that exhibits unique neurological and behavioral characteristics.
Heather S. McCracken, Bernadette A. Murphy, Ushani Ambalavanar, Cheryl M. Glazebrook, Cheryl M. Glazebrook, Paul C. Yielder, Paul C. Yielder   +6 more
doaj   +1 more source

Electroencephalography Based Microstate Functional Connectivity Analysis in Emotional Cognitive Reappraisal Combined with Happy Music [PDF]

, 2023
Wangchun Hua, Yingjie Li
openalex   +1 more source

Head phantoms for electroencephalography and transcranial electric stimulation: a skull material study

, 2018
Physical head phantoms allow assessing source reconstruction procedures in electroencephalography and electrical stimulation profiles during transcranial electric stimulation. Volume conduction in the head is strongly influenced by the skull representing
Fiedler, Patrique, Haueisen, Jens, Hunold, Alexander, Strohmeier, Daniel   +3 more
core   +1 more source

Bedtime to the brain: how infants’ sleep behaviours intertwine with non‐rapid eye movement sleep electroencephalography features [PDF]

, 2023
Sarah F. Schoch, Valeria Jaramillo, Andjela Markovic, Reto Huber, Malcolm Kohler, Oskar G. Jenni, Caroline Lustenberger, Salomé Kurth   +7 more
openalex   +1 more source

Time-varying parametric modelling and time-dependent spectral characterisation with applications to EEG signals using multi-wavelets [PDF]

, 2008
A new time-varying autoregressive (TVAR) modelling approach is proposed for nonstationary signal processing and analysis, with application to EEG data modelling and power spectral estimation.
Billings, S.A., Liu, J., Wei, H.L.
core  

A real-time wireless wearable electroencephalography system based on Support Vector Machine for encephalopathy daily monitoring

International Journal of Distributed Sensor Networks, 2018
Wearable electroencephalography systems of out-of-hospital can both provide complementary recordings and offer several benefits over long-term monitoring. However, several limitations were present in these new-born systems, for example, uncomfortable for
Qing Zhang, Pingping Wang, Yan Liu, Bo Peng, Yufu Zhou, Zhiyong Zhou, Baotong Tong, Bensheng Qiu, Yishan Zheng, Yakang Dai   +9 more
doaj   +1 more source

Electroencephalography Predicts Poor and Good Outcomes After Cardiac Arrest: A Two-Center Study. [PDF]

, 2017
The prognostic role of electroencephalography during and after targeted temperature management in postcardiac arrest patients, relatively to other predictors, is incompletely known.
Ben-Hamouda, N., Britton, J.W., Juan, E., Novy, J., Oddo, M., Rabinstein, A.A., Rossetti, A.O., Tovar Quiroga, D.F., White, R.D.   +8 more
core   +1 more source

AR-PCA-HMM approach for sensorimotor task classification in EEG-based brain-computer interfaces [PDF]

, 2010
We propose an approach based on Hidden Markov models (HMMs) combined with principal component analysis (PCA) for classification of four-class single trial motor imagery EEG data for brain computer interfacing (BCI) purposes. We extract autoregressive (AR)
Argunsah, Ali Ozgur, Argunşah, Ali Özgür, Cetin, Mujdat, Çetin, Müjdat   +3 more
core   +1 more source