Study of Algorithm for Epilepsy Alert Device

Epilepsy Alert Device - Epilert Performance


Lead Sponsor: Biolert

Source Biolert
Brief Summary

An accelerometer with transmitting ability is worn on the wrist. Data of movements during seizures will be analyzed to upgrade algorithm that will identify seizures.

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.

Overall Status Completed
Start Date 2007-10-01
Completion Date 2010-10-01
Primary Completion Date 2010-10-01
Study Type Observational
Enrollment 15

Sampling Method:

Non-Probability Sample


Inclusion Criteria: - Patients undergoing Long Term Monitoring for motor seizures Exclusion Criteria: - Invasive recording - Psychogenic seizures



Minimum Age:


Maximum Age:

65 Years

Healthy Volunteers:


Overall Official
Last Name Role Affiliation
Swetlana Kiperwasser, M.D. Principal Investigator Tel-Aviv Sourasky Medical Center
Verification Date


Responsible Party

Name Title: Prof. Uri Kramer. Chief scientist

Organization: Biolert LTD

Has Expanded Access No
Condition Browse
Study Design Info

Time Perspective: Prospective

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