Stroke: Electro-encephalograms may improve the diagnosis of acute stroke and large vascular closure.

Clinical methods are not comprehensive in value for early diagnosis of acute stroke and large vascular thase (LVO).
electro-encephalograms respond quickly and sensitively to isoemia in the brain.
recently, a study published in the leading journal in the field of cardiovascular disease was published to assess the diagnostic value of electro-encephalograms for acute stroke/transient cerebral ischemic episodes (TIA) and LVO.
patients who were treated in the emergency department and were suspected of acute stroke (n-100) were clinically examined and then electroencephalograms were performed using a dry electrode system.
researchers divided patients into four models, namely (1) clinical data, (2) electro-encephalogram data, (3) clinical and electro-encephalogram data obtained using Logistic regression, and (4) clinical-e-encephalogram data obtained using deep learning neural networks.
model used 60 randomly selected patients as a training set and then validated in a separate queue of 40 new patients.
63 out of 100 patients had stroke (43 ischemic/7 bleeding) or TIA (13).
For whether or not stroke/TIA classifys patients, the area under the curve of the clinical data model is 62.3, while the area under the curve of the clinical-E-brain map data model obtained using the deep learning neural network model is 87.8.
, it can be seen that adding electro-encephalogram data to clinical indicators can improve the diagnosis of acute stroke/TIA and LVO acute stroke.
to collect dry electrode electroencephalograms in emergency departments is feasible and worthy of pre-hospital evaluation.
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