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Company Information:

Company Name: Pegasus Technologies Inc
City: Mentor
State: OH
Zip+4: 44060
Woman-Owned: Yes
Minority-Owned: No
HUBZone-Owned: No
Website URL: N/A
Phone: (440) 358-7740

Award Totals:

Program/Phase Award Amount ($) Number of Awards
SBIR Phase I $298,660.00 4

Award List:

CORONARY HEART DISEASE RISK PROFILING SYSTEM

Award Year / Program / Phase: 1989 / SBIR / Phase I
Agency: HHS
Principal Investigator:
Award Amount: $50,000.00
Abstract:
Over 540,000 people die in the united states every year from coronary heart disease (chd), and an additional 6 million persons have diagnosed chd. two of the more important chd risk factors are the serum level of low-density lipoprotein cholesterol (ldl-chol) and high-density lipoprotein cholesterol… More

SIMPLE DIAGNOSTIC SYSTEM FOR MYOCARDIAL INFARCTION

Award Year / Program / Phase: 1990 / SBIR / Phase I
Agency: HHS
Principal Investigator: Arthur L Babson
Award Amount: $50,000.00
Abstract:
Over 1.5 million people have heart attacks in the united states every year and over half a million die as a result. rapid and accurate diagnosis after the onset of symptoms is important not only to institute proper therapy but also to rule out myocardial infarction (mi). because electrocardiograms… More

SBIR Phase I:V isualization of Large Multidimensional Datasets in a Lower Dimension

Award Year / Program / Phase: 2003 / SBIR / Phase I
Agency: NSF
Principal Investigator: Boris Igelnik
Award Amount: $98,683.00
Abstract:
This Small Business Innovation Research (SBIR) Phase I project aims on creating a visualization technology for advanced analysis of large multivariate datasets. Such technology will be harnessed for finding hidden dependences in data, revealing its cluster structure, selection of features, and… More

SBIR Phase I: Nonlinear Modeling in the Presence of Disturbances Using Support Vector Machines

Award Year / Program / Phase: 2004 / SBIR / Phase I
Agency: NSF
Principal Investigator: Stephen Piche, PI
Award Amount: $99,977.00
Abstract:
This Small Business Innovation Research Phase I project will investigate novel algorithms for developing nonlinear models based upon time series data that is affected by disturbances. The Box-Jenkins algorithm has been the standard approach over the past few decades for developing models for… More