Geoffrey Stuart Wilson

US Patent:

20120253154, Oct 4, 2012

Filed:

Apr 4, 2011

Appl. No.:

13/079219

Inventors:

Brian K. Phillips - Lakewood CO, US
Geoffrey A. Wilson - Roseburg OR, US

Assignee:

INTEGRATED MONITORING SYSTEMS, LLC - Lakewood CO

International Classification:

A61B 5/1455
A61B 5/0402
A61B 5/026
A61B 5/02

US Classification:

600324, 600485, 600500, 600509, 600504

Abstract:

A method and system for biometric identity confirmation is based on the pulse wave of a subject. During an initial enrollment mode, pulse wave data for a known subject are used to generate subject characterization data for the known subject. During a subsequent operational mode, pulse wave data for a test subject are analyzed using the subject characterization data to confirm whether the identity of the test subject matches the known subject. The subject characterization data can be a probability density in a phase space in which at least two quasi-periodic variables based on the pulse wave (e.g., blood pressure and volume time-series data) are correlated.

US Patent:

20120330175, Dec 27, 2012

Filed:

Jun 27, 2011

Appl. No.:

13/169603

Inventors:

Brian K. Phillips - Lakewood CO, US
Geoffrey A. Wilson - Roseburg OR, US

Assignee:

INTEGRATED MONITORING SYSTEMS, LLC - Lakewood CO

International Classification:

A61B 5/08

US Classification:

600532

Abstract:

An system for monitoring alcohol in the breath of a test client confirms the identity of the test client based on spirometric data. The system includes a sample chamber receiving a breath sample, an alcohol sensor measuring the alcohol content of the breath sample, and a spirometric sensor generating spirometric data from the breath sample over the test clients entire exhalatory phase. A processor analyzes the spirometric data with stored client characterization data for a known client to confirm the identity of the test client. The client characterization data can be a probability density in a phase space in which at least two spirometric variables (e.g., flow and volume time-series data) are correlated.