Method and apparatus for multiple patient parameter variability analysis and display

• US 7,038,595 B2
• Filed: 07/03/2001
• Issued: 05/02/2006
• Est. Priority Date: 07/05/2000
• Status: Expired

• Current Assignee: Andrew J.E. Seely
• Original Assignee: Andrew J.E. Seely
• Inventors: Seely, Andrew J. E.
• Primary Examiner(s): Horabik, Michael
• Assistant Examiner(s): Yacob, Sisay
• Application Number:
  US10/312,177
• Publication Number:
  US 20030117296A1
• Time in Patent Office: 1,764 Days
• Field of Search: 340/870.07, 340/870.11, 340/870.16, 600/300, 607/96
• US Class Current: 340/870.07
• CPC Class Codes: A61B 5/0002 Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network A61B5/07 takes precedence; transmission systems for measured values G08C; transmission H04B; transmission of digital information H04L; wireless communication networks H04W
• CPC Class Codes: G16H 40/67 for remote operation
• CPC Class Codes: G16H 50/30 for calculating health indices; for individual health risk assessment
• CPC Class Codes: Y10S 128/903 Radio telemetry

Abstract

A method and apparatus (100) for providing continuous analysis and display of the variability of multiple patient parameters monitored by multiple bedside monitors (106a–106c) for each patient (102). Each monitor is connected to a patient interface and to a patient data storage unit (115) and a processor (113). Each monitored patient parameter is measured in real-time. Data artifacts are removed, and variability analysis is performed based upon a selected period of observation. Variability analysis yields variability of the patient parameters, which represents a degree to which the patient parameters fluctuate over time, to provide diagnostic information particularly useful in the detection, prevention and treatment of multiple organ dysfunction syndrome (MODS).

Claims

1. A method of monitoring variability of a plurality of patient parameters using data acquired from a plurality of patient monitoring interfaces, comprising:

collecting data points acquired by each of the plurality of patient monitoring interfaces for each of the plurality of patient parameters;

continuously computing a measure of variability of each of the plurality of patient parameters, the measure of variability representing an estimate of a degree and character to which each patient parameter fluctuates over time; and

continuously displaying a graphic representation of the variability computed for each of the plurality of the patient parameters and continuously displaying a correlation between the variability of the plurality of patient parameters.

2. The method as claimed in claim 1, further comprising a step of selecting for each of the plurality of patient parameters a method of computing the variability from among a plurality of different methods of variability analysis.

3. The method as claimed in claim 1, further comprising a step of selecting the plurality of patient parameters for which the graphic representation of the variability is to be displayed.

4. The method as claimed in claim 1, wherein continuously computing further comprises continuously removing artifacts from the collected data points for each of the plurality of patient parameters.

5. The method as claimed in claim 4, wherein continuously removing the artifacts comprises using a Poincaré

plot to identify data points that are artifacts in the collected data points.

6. The method as claimed in claim 1, wherein continuously displaying the graphic representation of the variability further comprises continuously displaying the graphic representations in real time.

7. The method as claimed in claim 1, wherein continuously displaying the graphic representation of the variability further comprises continuously displaying variability histograms.

8. The method as claimed in claim 7, wherein continuously displaying the graphic representations of the variability further comprises continuously displaying the variability histograms in one color if a value of the patient parameter is within a normal range and displaying one or more of the variability histograms in a different color when the value of a corresponding patient parameter rises above or falls below the normal range.

9. The method as claimed in claim 8 further comprising displaying a standard deviation of a most recently selected period of variability analysis as an “

I”

bar super-imposed on at least one of the variability histograms.

10. The method as claimed in claim 1 further comprising providing a review display mode that presents a time-compressed, animated display of the variability of selected patient parameters during any selected time period for which data exists.

11. The method as claimed in claim 1 further comprising providing a combined display mode that provides a combination of real-time display of current patient parameters, and a display of the variability of patient parameters during a specified previous period of time.

12. A system for monitoring variability of a plurality of patient parameters, comprising:

a processor coupled to a plurality of patient monitors for receiving data points respectively associated with the plurality of patient parameters, the processor continuously computing, for each of the plurality of patient parameters, a variability of each patient parameter representative of an estimate of a degree and character to which the respective patient parameters fluctuate over time; and

a console for continuously displaying a graphic representation of the variability computed for each of the plurality of the patient parameters and continuously displaying a correlation between the variability of the plurality of patient parameters.

13. The system as claimed in claim 12, further comprising a user interface for permitting a user to select a method of computing each variability parameter from among a plurality of methods of variability analysis.

14. The system as claimed in claim 12 further comprising a user interface for permitting a user to select a subset of patient parameters from the monitored plurality of patient parameters for which the variability is to be continuously displayed on the console.

15. The system as claimed in claim 12, wherein the processor removes artifacts from the collected data points for each of the plurality of patient parameters.

16. The system as claimed in claim 15, wherein the processor generates a Poincaré

plot to identify the artifacts to be removed from the collected data points.

17. The system as claimed in claim 12, wherein the console displays the variability parameter for each of the plurality of patient parameters as a plurality of dynamic variability histograms.

18. A patient monitoring system, comprising:

a processor that performs continuous data acquisition from multiple patient parameter monitors to compile respective data sets, the processor removing artifacts from the data sets, and computing a variability using the data sets of each monitored patient parameter;

a user interface that permits a user to select a method of data selection and variability analysis from among a plurality of pre-defined methods for selecting data and computing the variability of each of the patient parameters; and

a console for continuously displaying a graphic representation of the variability computed for each of the plurality of the patient parameters and continuously displaying a correlation between the variability of the plurality of patient parameters.

19. The system as claimed in claim 18 wherein the processor comprises a central processor for multiple patient data collection and the system further comprises;

a patient data store for storing patient data collected from multiple patient parameter monitors for each of a plurality of patients; and

a console for displaying a multiple patient variability display.