System for Non-Invasive EMG Motor Unit Recording

Award Information
Agency:
Department of Health and Human Services
Branch
n/a
Amount:
$99,905.00
Award Year:
2005
Program:
SBIR
Phase:
Phase I
Contract:
1R43NS052019-01
Agency Tracking Number:
NS052019
Solicitation Year:
2005
Solicitation Topic Code:
n/a
Solicitation Number:
PHS2005-2
Small Business Information
INTRAGRAPHIX, LLC
Intragraphix, Llc, 1941 E Ramona Ave, Salt Lake City, UT, 84108
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
Y
Duns:
n/a
Principal Investigator:
KENNETH GUILLORY
(801) 440-0502
SHANE@INTRAGRAPHIX.COM
Business Contact:
(801) 467-6209
Research Institution:
n/a
Abstract
DESCRIPTION (provided by applicant): The goal of this program is to create a clinical system for non-invasively recording EMG motor unit signals. This system will use Blind Source Deconvolution (BSD) signal processing techniques to collect these signals with surface electrode arrays, rather than needle electrodes that must be inserted and manipulated by highly trained clinicians. This system will improve the speed, cost, and patient comfort of common clinical evaluations that require motor unit recording (such as Carpal Tunnel and diabetic neuropathy), and potentially improve the accuracy and diagnostic sensitivity of surface nerve conduction studies. In addition, by reducing the need for EMG needle insertion and manipulation, this system will enable new remote monitoring and telehealth diagnostic capabilities for common diseases such as Carpal Tunnel Syndrome and diabetic neuropathy. In Phase I, we will verify the ability of Blind Source Deconvolution (BSD) to extract motor unit signals from surface EMG of the thenar muscles using a 256-channel, thin-film EMG electrode array and offline data analysis. In Phase II, we will develop a compact, disposable surface electrode array and a miniaturized data acquisition system with software that implements the BSD algorithms in real-time. This final clinical system will provide audio and video displays of the recordings, quantitative measures regarding the number, size and shape of extracted motor units, and distribution information for the unit conduction velocities.

* information listed above is at the time of submission.

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