Physiological assessment system

• US 7,292,883 B2
• Filed: 03/30/2005
• Issued: 11/06/2007
• Est. Priority Date: 03/31/2004
• Status: Active Grant

• Current Assignee: Masimo Corporation
• Sponsoring Entity: Masimo Corporation
• Inventors: Goldstein, Mitchell, De Felice, Claudio, Latini, Giuseppe
• Primary Examiner(s): WINAKUR, ERIC FRANK
• APPLICATION: US 20060009687A1
• Time in USPTO: 951 Days
• Field of Search: 600/323, 600/300, 600/310, 600/324, 600/500, 702/19
• US Class Current: 600/324
• CPC Class Codes: A61B 5/14551 : for measuring blood gases

Abstract

A physiological assessment system comprises a sensor and first and second processors. The sensor is adapted to generate a signal responsive to a living organism. The first processor is configured to derive a measured parameter from the sensor signal. The second processor is configured to analyze nonlinear dynamics of the measured parameter so as to provide a physiological assessment of the living organism.

Claims

1. A physiological assessment system comprising:

a sensor adapted to transmit optical radiation of at least two wavelengths into a tissue site and generate a detector signal responsive to said optical radiation after absorption by pulsatile blood flow within said tissue site;

a pulse oximeter configured to derive a perfusion index from said signal; and

a second processor configured to analyze nonlinear dynamics of said perfusion index and to provide an illness severity indicator indicating at least a readily identifiable normal or abnormal state.

2. The physiological assessment system according to claim 1 wherein:

said second processor calculates a statistic responsive to the variability of said perfusion index.

3. The physiological assessment system according to claim 2 wherein said statistic is determined by chaos data analysis.

4. The physiological assessment system according to claim 2 wherein said statistic is compared to a predetermined normality range.

5. The physiological assessment system according to claim 2 wherein:

said pulse oximeter derives a second measured parameter, and

said second processor calculates a second statistic responsive to the variability of said second measured parameter.

6. The physiological assessment system according to claim 5 wherein said second measured parameter is pulse rate.

7. A physiological assessment system comprising:

a pulse oximeter adapted to measure a perfusion index;

an analyzer configured to provide at least one statistic responsive to variability of said perfusion index; and

an interpreter configured to indicate illness severity based upon said at least one statistic.

8. The physiological assessment system according to claim 7 further comprising a data storage for compiling time series data for said perfusion index.

9. The physiological assessment system according to claim 7 further comprising a visual indication of at least one of perfusion index variability and illness severity.

10. The physiological assessment system according to claim 7 further comprising an aural indication of at least one of perfusion index variability and illness severity.

11. The physiological assessment system according to claim 7 wherein said analyzer is a chaos data analyzer.

12. The physiological assessment system according to claim 7 further comprising:

a predetermined range input to said interpreter,

said interpreter capable of comparing said at least one statistic to said range so as to indicate illness severity.

13. A physiological assessment method comprising the steps of:

deriving time series data for at least one physiological parameter comprising the substep of measuring perfusion index with a pulse oximeter;

calculating a nonlinear dynamics measure based upon said time series data;

evaluating said nonlinear dynamics measure with respect to a predetermined criterion; and

providing an illness severity indicator indicating at least a readily identifiable normal or abnormal state based upon said evaluation.

14. The physiological assessment method according to claim 13 wherein said calculating step comprises the substep of obtaining a variability measure for said perfusion index.

15. A physiological assessment method according to claim 13 wherein said evaluating step comprises the substep of comparing said variability measure to a predetermined cutoff value.

16. The physiological assessment method according to claim 13 wherein:

said deriving step comprises the further substep of measuring pulse rate; and

said calculating step comprises the substep of obtaining a variability measure for the combination of said perfusion index and said pulse rate.

17. The physiological assessment method according to claim 13 wherein said evaluating step comprises the substep of performing a chaos data analysis on said time series data.