Study of Algorithm for Epilepsy Alert Device
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|ClinicalTrials.gov Identifier: NCT00497835|
Recruitment Status : Completed
First Posted : July 9, 2007
Last Update Posted : June 15, 2011
|Condition or disease|
Patients undergoing Video-EEG telemetry will wear movement sensor on their wrist. The sensor will transmit continuous data to a laptop. Seizures' data (tonic or clonic) will be analyzed and transformed into an algorithm (up-graded existing preliminary algorithm).
In the second phase the algorithm will need to identify seizure events within one minute of the onset.
Both specificity ("false positive") and sensitivity ("false negative) will be than calculated.
|Study Type :||Observational|
|Actual Enrollment :||15 participants|
|Official Title:||Epilepsy Alert Device - Epilert Performance|
|Study Start Date :||October 2007|
|Actual Primary Completion Date :||October 2010|
|Actual Study Completion Date :||October 2010|
To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.
Please refer to this study by its ClinicalTrials.gov identifier (NCT number): NCT00497835
|Principal Investigator:||Swetlana Kiperwasser, M.D.||Tel-Aviv Sourasky Medical Center|