JEREMY MARTIN SHAVER
Pilots at 41 Pl, Seattle, WA
License number
Washington A4065642
Issued Date
Jul 2015
Expiration Date
Jul 2017
Category
Airmen
Type
Authorized Aircraft Instructor
Address
Address
18613 41St Pl NE, Seattle, WA 98155
Professional information
Chief Of Technology Development At Eigenvector Research
Position:
Chief of Technology Development at Eigenvector Research
Location:
Greater Seattle Area
Industry:
Computer Software
Work:
Eigenvector Research
since Feb 2001
-
Chief of Technology Development
Kaiser Optical Systems
Jul 1997 - Feb 2001
-
Applications Scientist
University of Michigan
Sep 1995 - Jul 1997
-
Post-Doctoral Research Fellow
Education:
Duke University 1991 - 1995
PhD, Analytical Chemistry The College of Wooster 1987 - 1991
BA, Chemistry
PhD, Analytical Chemistry The College of Wooster 1987 - 1991
BA, Chemistry
Skills:
Spectroscopy, Multivariate Analysis, Matlab, Chemistry, Programming, Data Mining, Fortran, Medical Devices, Semiconductors, Visual Basic, Remote Sensing, Pascal, C#, Java, PHP, Manufacturing, Analytical Chemistry
Determination Of Tissue Oxygenation In Vivo
US Patent:
2013022, Aug 29, 2013
Filed:
Nov 3, 2011
Appl. No.:
13/883279
Inventors:
Kenneth Schenkman - Seattle WA, US
Lorilee Arakaki - Bainbridge Island WA, US
Wayne Ciesielski - Seattle WA, US
Jeremy Shaver - Shoreline WA, US
Lorilee Arakaki - Bainbridge Island WA, US
Wayne Ciesielski - Seattle WA, US
Jeremy Shaver - Shoreline WA, US
Assignee:
UNIVERSITY OF WASHINGTON THROUGH ITS CENTER FOR COMMERCIALIZATION - Seattle WA
International Classification:
A61B 5/1455
US Classification:
600328, 600473
Abstract:
A system and method for noninvasively determining the oxygenation of a tissue, for example, a muscle, in vivo uses optical methods to optically interrogate the tissue in both a visible wavelength range and a near infrared (NIR) wavelength range. The illuminating light is sculpted in intensity to approximately match the absorbance spectrum, for example, with the visible light having an intensity an order of magnitude greater than the light. Training data is obtained from healthy patients in both the visible and NIR ranges simultaneously and used to calculate muscle oxygenation.