Results 31 to 40 of about 136,595 (357)
The changes of electroencephalography in mountaineers on Mount Jade, Taiwan: An observational study
Background The diagnosis of acute mountain sickness, which lacks a reliable and objective diagnostic tool, still depends on the clinical symptoms and signs and remains a major threat and unpredictable disease affecting millions of mountaineers ...
Kuo-Song Chang+9 more
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Repetitive peripheral magnetic stimulation is a novel non-invasive technique for applying repetitive magnetic stimulation to the peripheral nerves and muscles. Contrarily, a person imagines that he/she is exercising during motor imagery.
Shun Sawai+7 more
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Data augmentation for deep-learning-based electroencephalography
BACKGROUND Data augmentation (DA) has recently been demonstrated to achieve considerable performance gains for deep learning (DL)-increased accuracy and stability and reduced overfitting. Some electroencephalography (EEG) tasks suffer from low samples-to-
Elnaz Lashgari, Dehua Liang, U. Maoz
semanticscholar +1 more source
Automated Clinical Impression Generation for Medical Signal Data Searches
Medical retrieval systems have become significantly important in clinical settings. However, commercial retrieval systems that heavily rely on term-based indexing face challenges when handling continuous medical data, such as electroencephalography data,
Woonghee Lee+3 more
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Diagnosis of epilepsy after first seizure. Introducing the SWISS FIRST study
Diagnosis of epilepsy after a first unprovoked seizure is possible according to the guidelines by the International League Against Epilepsy, if the risk recurrence of a second unprovoked seizure is exceeding 60%.
Baudouin Zongxin Jin+9 more
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Measurement(s) electroencephalography (EEG) Technology Type(s) electroencephalography (EEG) Factor Type(s) Chronic sleep restriction Sample Characteristic - Organism Mus ...
Hio-Been Han+4 more
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Multimodal Data for the Detection of Freezing of Gait in Parkinson’s Disease
Measurement(s) electroencephalography (EEG) • electromyography(EMG) • acceleration • skin conductance Technology Type(s) electroencephalography (EEG) • electromyography (EMG) • accelerometer • skin ...
Wei Zhang+11 more
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Review on Emotion Recognition Based on Electroencephalography
Emotions are closely related to human behavior, family, and society. Changes in emotions can cause differences in electroencephalography (EEG) signals, which show different emotional states and are not easy to disguise.
Haoran Liu+3 more
semanticscholar +1 more source
Digital electroencephalography and long-term video electroencephalography
EEG is the name commonly used for electroencephalography. EEG is an important test for diagnosing epilepsy. Conventional EEG has relatively low sensitivity in epilepsy, ranging between 25-56%. The combination of wake and sleep records gives a yield of 80%
Ayat Allah Farouk
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Notwithstanding recent advances in neuroimaging, EEG remains a major technique for investigation of the brain. Its main applications are in assessment of cerebral function rather than for detecting structural abnormalities. The principal clinical applications are in epilepsy, states of altered consciousness including postanoxic and traumatic coma, the ...
C D, Binnie, P F, Prior
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