Ambulatory, Miniaturized, Automatic EEG Seizure Detector

Award Information
Agency:
Department of Defense
Branch
Army
Amount:
$70,000.00
Award Year:
2005
Program:
SBIR
Phase:
Phase I
Contract:
W81XWH-06-C-0016
Award Id:
74022
Agency Tracking Number:
A052-162-2339
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
4415 Euclid Ave, 4th Floor, Cleveland, OH, 44103
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
557510625
Principal Investigator:
Mo Modarres
Vice President, NeuroWave Division
(216) 791-6720
mmodarres@CleveMed.com
Business Contact:
Robert Schmidt
President
(216) 619-5925
rschmidt@CleveMed.com
Research Institute:
n/a
Abstract
This program will develop an ambulatory, miniaturized, EEG acquisition/analysis device that will be capable of automatic and real-time detection of seizure activity including non-convulsive status epilepticus. The miniaturized EEG device, based on CleveMed's state-of-the art ambulatory EEG technology, measures 1.3" x .9" x .3" and weighs a mere .42 oz. Convenient and fast EEG acquisition is achieved by an elastic headband with attached physiological no-preparation "dry" electrodes. The EEG analysis and automatic seizure detection algorithms will be based on a novel combination of two high-resolution and computationally efficient seizure identification/prediction techniques that are currently being finalized in our company supported by separate grants from National Institute of Neurological Disorders and Stroke (NINDS). The ambulatory system will also utilize the EEG artifact removal technology that is being developed under another grant from NINDS. A computationally efficient implementation of these algorithms will be embedded in the PDA which will display the raw EEG as well as a continuously updated "Seizure Detection Index". The developed system will be evaluated at the Neurology department of the Cleveland Clinic with pre-recorded seizure data from epileptic patients (using a patient simulator) as well as with actual patients undergoing long-term term EEG monitoring.

* information listed above is at the time of submission.

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