Xuanwu Hospital, Beijing
Beijing, Beijing Municipality, 100053, China
NCT Number: NCT06564129
This study is designed to evaluate the accuracy of saline electrode EEG in the prehospital diagnosis of LVO-a stroke.
Trial opening soon.
Get Notified18 year and older
All sexes
Observational
Beijing, Beijing Municipality, 100053, China
This is a multicenter, prospective, observational study,which will screen a total of 1194 patients in the participating centers during the period of June 1, 2024-December 31, 2025, and record single scalp EEG signals with eyes open at rest in the lying position of the patients using a non-invasive EEG acquisition device, and collect clinical data.
Healthy volunteers accepted: Yes
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Phase II-III
Exclusion criteria
Fifty-nine EEG electrodes conforming to international standard points were placed using a saline electrode EEG cap (Gelfree, Prysmian, China), and an accompanying portable multimodal EEG acquisition system (Neurohub, Prysmian, China) was used. EEG data were collected using collect software (Brycon, China).
Time frame: 24 hours
Accuracy of theta/alpha ratio of electroencephalographic features for the diagnosis of large vessel occlusion
Accuracy of theta/alpha ratio of electroencephalographic features for the diagnosis of anterior large vessel occlusion stroke
Time frame: 24 hours
ROC curves were plotted for each EEG data feature predicting LVO-a, and sensitivity, specificity, PPV, and NPV were calculated at the optimal cutoff value.
Time frame: 24 hours
Remove EEG data artifacts and report the percentage of EEG data available for analysis for each patient
Time frame: 24 hours
ROC curves for predicted LVO-a based on this algorithm were plotted and sensitivity, specificity, PPV and NPV were calculated at the optimal cutoff value.
Contact information is provided by the study sponsor or research team.
Gaoting Ma, MD
CONTACT
junwei Hao, MD
CONTACT
Xuanwu Hospital, Beijing
Other
Characteristics and Prehospital Triage of Anterior Large Vessel Occlusion Stroke Based on EEG
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