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A Review on The Medical Applications of Electroencephalography (EEG)

2021 Seventh International conference on Bio Signals, Images, and Instrumentation (ICBSII), 2021
The human-brain is a complex-organ developed with nerve cells which are known as the neurons. The human body functions are controlled by the electrochemical activity of the nerve cells which in turn generates electric signals. The functions and activities of the human body parts and organs are disturbed by the abnormal brain functions created by ...
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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   +3 more
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Selective Mutism and Abnormal Electroencephalography (EEG) Tracings

Journal of Child Neurology, 2011
Epileptic discharges are not considered a part of the clinical picture of selective mutism, and electroencephalography is generally not recommended in its work-up. This report describes 6 children with selective mutism who were found to have a history of epilepsy and abnormal interictal or subclinical electroencephalography recordings.
Keren, Politi   +4 more
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Electroencephalography (EEG) in the differential diagnosis of dementia

Journal of Clinical Psychology, 1989
Recent technical advances in neurodiagnostic procedures have improved significantly our knowledge of the pathophysiology of a number of disease processes and how they relate to behavioral manifestation. This paper focuses on advances in electroencephalography (EEG) and the implications that this growing body of research has for the diagnosis of ...
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Phase space electroencephalography (EEG): A new mode of intraoperative EEG analysis

International Journal of Clinical Monitoring and Computing, 1988
Intraoperative monitoring of electroencephalography (EEG) data can help assess brain integrity and/or depth of anesthesia. We demonstrate a computer generated technique which provides a visually robust display of EEG data plotted as 'phase space trajectories' and a mathematically derived parameter ('dimensionality') which may correlate with depth of ...
R C, Watt, S R, Hameroff
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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
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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. A total of 313 children, 53.7% male, showing ESp on the EEG and with an average initial age of 6.82
Lineu CorrĂȘa, Fonseca   +1 more
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Pharmaco-Electroencephalography: The Value of Quantified EEG in Psychopharmacology

Pharmacopsychiatry, 1979
One of the first routine applications of quantitative EEG analysis was in the field of human psychopharmacology. As early as the 1960's, quantitative techniques, mainly period and amplitude integration analyses or analogue filtering, were successfully applied to EEG data with the aim of quantifying and objectifying changes induced by psychoactive ...
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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   +5 more
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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   +3 more
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