Study of Algorithm for Epilepsy Alert Device
Epilepsy Alert Device - Epilert Performance
Study Overview
Status
Status
Conditions
Conditions
Detailed Description
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
Study Type
Enrollment (Actual)
Enrollment
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
- Patients undergoing Long Term Monitoring for motor seizures
Exclusion Criteria:
- Invasive recording
- Psychogenic seizures
Study Plan
How is the study designed?
Design Details
- Time Perspectives: Prospective
Collaborators and Investigators
Sponsor
Sponsor
Investigators
Investigators
- Principal Investigator: Swetlana Kiperwasser, M.D., Tel-Aviv Sourasky Medical Center
Study record dates
Study Major Dates
Study Start
Study Start
Primary Completion (Actual)
Primary Completion
Study Completion (Actual)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Estimate)
First Posted
Study Record Updates
Last Update Posted (Estimate)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- Biolert LTD
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