Results 291 to 300 of about 141,252 (319)

Video-Electroencephalography (Video-EEG)

2019
The appropriate indication for epilepsy monitoring unit (EMU) evaluation reflects the need of general neurologists, neurophysiologists, epileptologists, and pediatric neurologists to assume the diagnosis and management of patients with paroxystic neurological symptoms.
Laura Tassi, Valeria Mariani, Veronica Pelliccia, Roberto Mai   +3 more
openaire   +1 more source

Electroencephalography (EEG) in Psychiatry: A Review Article

2023
It is estimated that today, about 500 million people live with a mental health disorder.  The broad definition of mental disorders includes depression, anxiety, bipolar, eating disorders, and schizophrenia, among others. Mental health disorders are diagnosed by licensed psychiatrists who often use DSM-5 to make a diagnosis.
Singh, Mahima, Muhammad, Ammar, Jahangiri, Faisal R.   +2 more
openaire   +1 more source

Basics of Electroencephalography (EEG)

2016
Electroencephalography (EEG) is the noninvasive recording and measuring of the electrical activity of the cerebral cortex, with surface EEG performed via electrodes placed on the scalp. The recorded voltage activity is the net difference between ionic current flows within the brain, controlled by N-methyl-D-aspartate (NMDA) glutamate receptors becoming
Abdul Qayyum Rana, Ali T. Ghouse, Raghav Govindarajan   +2 more
openaire   +1 more source

Current Practical Applications of Electroencephalography (EEG)

Journal of Computational and Theoretical Nanoscience, 2019
Electroencephalogram (EEG) is used to study the activities of human brain using instrument named electroencephalograph. The usage of EEG is now widened to many fields due to its great temporal resolution and other advantages. In this paper, a literature survey has been carried out to explore and categorize applications that have been invented from EEG.
Chi Qin Lai, Haidi Ibrahim, Mohd Zaid Abdullah, Jafri Malin Abdullah, Shahrel Azmin Suandi, Azlinda Azman   +5 more
openaire   +1 more source

Electroencephalography (EEG) in Moyamoya Disease

2010
Moyamoya disease (MMD) is one of the most common causes of cerebrovascular disease in East Asian populations, especially of Japan, China and Republic of Korea. This condition is characterized by progressive stenosis of both terminal internal carotid arteries in the supracli-noid portion with the development of a network of cerebral collaterals ...
Jong-Hee Chae, Ki Joong Kim
openaire   +1 more source

Somatosensory-Evoked Spikes on Electroencephalography (EEG)

Clinical EEG and Neuroscience, 2012
Somatosensory-evoked spikes (ESp) are high-voltage potentials registered on the EEG, which accompany each of the percussions on the feet or hands. The objective of this research was to study the longitudinal clinical and EEG aspects of children with ESp.
Lineu Corrêa, Fonseca, Gloria M A S, Tedrus   +1 more
openaire   +2 more sources

Immersive EEG: Evaluating Electroencephalography in Virtual Reality

2019 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), 2019
We investigate the feasibility of combining off-the-shelf virtual reality headsets and electroencephalography. EEG is a highly sensitive tool and subject to strong distortions when exerting physical force like mounting a VR headset on top of it that twists sensors and cables.
Jan-Philipp Tauscher, Fabian Wolf Schottky, Steve Grogorick, Paul Maximilian Bittner, Maryam Mustafa, Marcus Magnor   +5 more
openaire   +1 more source

Probing Interval Timing with Scalp-Recorded Electroencephalography (EEG)

2014
Humans, and other animals, are able to easily learn the durations of events and the temporal relationships among them in spite of the absence of a dedicated sensory organ for time. This chapter summarizes the investigation of timing and time perception using scalp-recorded electroencephalography (EEG), a non-invasive technique that measures brain ...
Kwun Kei, Ng, Trevor B, Penney
openaire   +2 more sources

Time Continuity Voting for Electroencephalography (EEG) Classification

2022
I concluded that this TCV algorithm has the potential to be a promising algorithm for EEG classifications and discussed the significance and broader impact.
openaire   +1 more source

Personalized Music Emotion Recognition Using Electroencephalography (EEG)

2014 IEEE International Symposium on Multimedia, 2014
Emotion recognition of music objects is one of the promising research issues in the field of music information retrieval. Usually, music emotion recognition could be considered as a training/classification problem. However, even if we have a benchmark (a training data with ground truth) and employ effective classification algorithms, music emotion ...
Jia-Lien Hsu, Yan-Lin Zhen, Tzu-Chieh Lin, Yi-Shiuan Chiu   +3 more
openaire   +1 more source