Study of Algorithm for Epilepsy Alert Device

NCT ID: NCT00497835

Last Updated: 2011-06-15

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

15 participants

Study Classification

OBSERVATIONAL

Study Start Date

2007-10-31

Study Completion Date

2010-10-31

Brief Summary

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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

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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.

Conditions

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Motor Seizures

Study Design

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Study Time Perspective

PROSPECTIVE

Eligibility Criteria

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Inclusion Criteria

* Patients undergoing Long Term Monitoring for motor seizures

Exclusion Criteria

* Invasive recording
* Psychogenic seizures
Minimum Eligible Age

1 Day

Maximum Eligible Age

65 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Biolert

INDUSTRY

Sponsor Role lead

Responsible Party

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Biolert LTD

Principal Investigators

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Swetlana Kiperwasser, M.D.

Role: PRINCIPAL_INVESTIGATOR

Tel-Aviv Sourasky Medical Center

Other Identifiers

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Biolert LTD

Identifier Type: -

Identifier Source: org_study_id

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