EEG
An Electroencephalogram (EEG) is a non-invasive clinical test that captures electrical activity in the brain using small electrodes attached to the head. The neuronal cells in brain communicate via electrical impulses, and an EEG can be used to track and record these brainwave patterns. This test is invaluable in diagnosing conditions like epilepsy, sleep disorders, brain tumors, brain damage from head injuries, and inflammation of the brain (encephalitis). It can also help monitor brain activity during surgery and assess brain function in patients in a coma. The EEG provides critical insights into brain activity, assisting physicians in making informed decisions about treating and managing various neurological conditions.
EEG
Latest Posts
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Handwriting could foster better memory
A Norwegian University of Science and Technology study found that handwriting activates more complex brain connectivity patterns than typing, especially in regions crucial for memory and learning. The study, involving 36 students and a 256-channel EEG sensor…
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Predicting Neurodevelopmental Outcomes in Preterm Infants: Insights from aEEG–EEG and Machine Learning
Researchers analyzed a cohort of preterm infants (born before 28 weeks of gestation) at the Wilhelmina Children’s Hospital in the Netherlands, focusing on predicting neurodevelopmental outcomes using early postnatal amplitude-integrated electroencephalogram (aEEG) and raw EEG features. The…
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Smart EEG Reading Brain Cap to Speed Up Stroke Diagnosis in Ambulances
Researchers from Amsterdam University Medical Centers developed a brain-wave cap to effectively diagnose large ischemic strokes in ambulances, enabling quicker and more accurate treatment. The cap conducts an EEG in the ambulance to determine the stroke type…
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NeuralTree: closed-loop neuromodulation system-on-chip
Researchers from École Polytechnique Fédérale de Lausanne have developed NeuralTree, a closed-loop neuromodulation system-on-chip that detects and alleviates disease symptoms. It uses a 256-channel high-resolution sensing array and an energy-efficient machine-learning processor to extract and classify biomarkers…
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