Breath alcohol sampling system with spirometric client identity confirmation

• US 9,192,324 B2
• Filed: 06/27/2011
• Issued: 11/24/2015
• Est. Priority Date: 06/27/2011
• Status: Active Grant

• Current Assignee: Lifeloc Technologies Inc. (Edco Partners LLLP)
• Original Assignee: International Monitoring Systems LLC
• Inventors: Phillips, Brian K., Wilson, Geoffrey A.
• Primary Examiner(s): Kahelin, Michael
• Assistant Examiner(s): Alter, Mitchell E
• Application Number:
  US13/169,603
• Publication Number:
  US 20120330175A1
• Time in Patent Office: 1,611 Days
• Field of Search: 600/532
• US Class Current: 1/1
• CPC Class Codes: A61B 5/0876 using means deflected by the fluid stream, e.g. flaps
• CPC Class Codes: A61B 5/117 Identification of persons methods or arrangements for recognising patterns, e.g. fingerprints, G06F18/00, G06V40/00; identification of persons by analysing their voice or speech G10L17/00
• CPC Class Codes: A61B 5/4845 Toxicology, e.g. by detection of alcohol, drug or toxic products A61B5/4848 takes precedence
• CPC Class Codes: G06F 2218/00 Aspects of pattern recognition specially adapted for signal processing
• CPC Class Codes: G06V 40/45 Detection of the body part being alive
• CPC Class Codes: G07C 9/37 using biometric data, e.g. fingerprints, iris scans or voice recognition

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 client'"'"'s 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.

Claims

1. An apparatus for monitoring alcohol in the breath of a test client, said apparatus comprising:

a sample chamber receiving a breath sample during the exhalatory phase of a test client;

an alcohol sensor measuring the alcohol content of the breath sample from the sample chamber;

a spirometric sensor generating spirometric data over a test clients entire exhalatory phase from the same breath sample into the sample chamber;

a means for storing client characterization data based at least in part on the shape of the flow versus time curve of the exhalatory phase for a known client, wherein the client characterization data comprises a probability density in a phase space in which a first spirometric variable is correlated with at least a second spirometric variable; and

a processor analyzing spirometric data from the spirometric sensor and stored client characterization data to determine whether the test client is the known client.

2. The apparatus of claim 1 wherein the probability density is generated from flow time-series data correlated with volume time-series data.

3. An apparatus for monitoring alcohol in the breath of a test client, said apparatus comprising:

a sample chamber receiving a breath sample from a test client, said sample chamber having;

(a) a diaphragm;

(b) an inlet valve; and

(c) an outlet valve having a flow resistance creating back pressure within the sample chamber in response to the breath sample, thereby resulting in movement of the diaphragm during the breath sample;

said inlet and outlet valves closing at the end of the breath sample to contain the breath sample within the sample chamber;

an alcohol sensor measuring the alcohol content of the breath sample in the sample chamber;

a spirometric sensor generating spirometric data by measuring movement of the diaphragm during the same breath sample;

a means for storing client characterization data based at least in part on the shape of the flow versus time curve of the exhalatory phase for a known client, wherein the client characterization data comprises a probability density in a phase space in which a first spirometric variable is correlated with at least a second spirometric variable; and

a processor analyzing spirometric data from the spirometric sensor and stored client characterization data to determine whether the test client is the known client.

4. The apparatus of claim 3 wherein the probability density is generated from flow time-series data correlated with volume time-series data.

5. The apparatus of claim 3 wherein the probability density is initially generated from spirometric data acquired during an enrollment mode, and then updated with spirometric data acquired during subsequent breath alcohol tests for the test client.