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Method for Dense Sensor Array Electroencephalography

Award Information
Agency: Department of Health and Human Services
Branch: N/A
Contract: N/A
Agency Tracking Number: 22438
Amount: $531,868.00
Phase: Phase II
Program: SBIR
Solicitation Topic Code: N/A
Solicitation Number: N/A
Timeline
Solicitation Year: N/A
Award Year: 1994
Award Start Date (Proposal Award Date): N/A
Award End Date (Contract End Date): N/A
Small Business Information
921 Country Club Road, Suite 1
Eugene, OR 97401
United States
DUNS: N/A
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Don M. Tucker
 (503) 345-9559
Business Contact
Phone: () -
Research Institution
N/A
Abstract

Recent studies show that the analysis of the brain's electrical fields with the electroencephalogram (EEG) could produce an informative, cost-effective method of neuroimaging if the density of scalp electrodes were increased substantially over conventional practice. We propose to commercialize an apparatus that attaches 128 EEG electrodes in an even spatial array across the surface of the human head. This apparatus comprises two specific inventions by Tucker (patents pending). The first is a method for positioning sensors for individual head geometries by a network tensional structure of elastic lines forming the geodesic partitioning of a spherical surface. The second invention is a sensor pedestal, a simple device that attaches at the vertices of the geodesic triangles, such that the compression directed radially by the tensional network toward the sphere center is used to hold a simple Ag/AgCl sponge electrode against the scalp. The Geodesic Electrode Net can be applied within half an hour and worn comfortably for several hours. With appropriately-designed, inexpensive amplifiers, it yields excellent EEGs. Our visual event-related potential (ERP) data with 64-channel arrays confirms the need for dense electrode arrays to adequately characterize the information on brain activity available from the scalp EEG.

* Information listed above is at the time of submission. *

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