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EEG Data Analysis data sheet DOM
EEG Data Analysis data sheet INT
Home » Products » spECTrum DEVICES » Options » EEG Data Analysis
 
EEG Data Analysis
 
 
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The assessment of a patient's baseline and post-stimulus electroencephalogram (EEG) provides the clinician with a visual indication of the nature, quality and duration of seizure activity. The EEG Data Analysis feature was developed by Duke University, patented, and exclusively licensed by MECTA for use in the spECTrum 5000 model ECT devices. This feature provides the capability to automatically analyze EEG signals using a patented algorithm developed over years of acquired treatment data to provide seizure adequacy information that has been demonstrated to be of clinical relevance.1, 2 The Seizure Adequacy* measure is recorded on the chart strip and in MECTA RMS MANAGER© or MECTA EMRİ software.
     
 
 
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1 Krystal AD. The clinical utility of ictal EEG seizure adequacy models. Psychiatic Annals. 1998;28:30-35.
2 Krystal AD MD MS, Weiner R D MD PhD: ECT seizure duration: reliability of manual and computer-automated determinations. Convulsive Therapy 1995;11:3:158-169.

*Duke U.K. Patent #2 304 196 B – U.S. Patent #5,626,627
(Under exclusive license from Duke University)
 
THE ONLY DUKE UNIVERSITY DEVELOPED AND PATENTED ANALYSIS FEATURES.  MECTA IS THE ONLY COMPANY LICENSED TO INCLUDE THE DUKE UNIVERSITY EEG SEIZURE QUALITY MEASURES IN ITS PRODUCTS.
 
Features: EEG Data Analysis is a valuable tool to assist the clinician with an empirically-based means to predict seizure adequacy and to regulate stimulus dosing.
This is the only existing ECT index developed with actual clinical stimulus dosing and treatment response data shown to have a significant relationship to outcome.
EEG Data Analysis was developed by Duke University and based on ten years of research, with results detailed in double-blind, randomized, peer-reviewed scientific literature 2.
EEG Data Analysis is patented and licensed exclusively to MECTA. It is available as an option in the 5000Q® and 5000M spECTrum models.
     
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