Historical Trend Icons For Physiological Parameters

• US 20110009722A1
• Filed: 12/24/2008
• Published: 01/13/2011
• Est. Priority Date: 12/26/2007
• Status: Abandoned Application

• Current Assignee: Covidien LP (Medtronic Plc)
• Original Assignee: Nellcor Puritan Bennett LLC (Medtronic Plc)
• Inventors: Li, Li, Amundson, Scott
• Application Number:
  US12/743,465
• Publication Number:
  US 20110009722A1
• Time in Patent Office: Days
• US Class Current: 600/324
• CPC Class Codes: A61B 2560/0276 Determining malfunction
• CPC Class Codes: A61B 5/14551 for measuring blood gases
• CPC Class Codes: A61B 5/4818 Sleep apnoea
• CPC Class Codes: A61B 5/7275 Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor
• CPC Class Codes: A61B 5/743 Displaying an image simultaneously with additional graphical information, e.g. symbols, charts, function plots
• CPC Class Codes: A61B 5/7475 User input or interface means, e.g. keyboard, pointing device, joystick
• CPC Class Codes: G16H 40/63 for local operation
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems

Abstract

Embodiments relate to systems and methods for displaying graphical icons representing a detected medical condition or a sensor fault. Specifically, embodiments of relate to a monitoring system that includes a sensor configured to obtain a physiologic signal from a patient, and a monitor communicatively coupled to the sensor and configured to receive the signal. In an embodiment, the monitor includes a processor adapted to compute physiological data based on the signal and identify a pattern in the physiological data, wherein the pattern relates to a condition of the patient, the sensor, or the monitor. In an embodiment, the processor also selects a graphical icon indicative of the pattern and provides the selected icon to a display.

Claims

1. A monitoring system, comprising:

a sensor capable of obtaining a physiologic signal from a patient;

a monitor communicatively coupled to the sensor and capable of receiving the signal, the monitor comprising a processor capable of;

computing physiological data based on the signal;

identifying a pattern in the physiological data, wherein the pattern relates to a condition of the patient, the sensor, or the monitor;

selecting a graphical icon indicative of the pattern; and

displaying the selected icon to a display.

2. The monitoring system of claim 1, wherein the pattern comprises a pattern indicative of airway instability, sleep apnea, substantially normal oxygen saturation level, slow oxygen desaturation, rapid oxygen desaturation, signal interference, weak signal, sensor off, sensor disconnect, bad sensor placement, arrhythmia, venous pulsation, sensor motion, and/or electromagnetic or radio frequency interference, and/or combinations thereof.

3. The monitoring system of claim 1, wherein the pattern comprises a trend of SpO₂ data representative of airway instability and the graphical icon depicts characteristics of a generalized trend plot of SpO₂ data representative of airway instability.

4. The monitoring system of claim 1, wherein the pattern comprises a trend of SpO₂ data representative of sleep apnea and the graphical icon depicts characteristics of a generalized trend plot of SpO₂ data indicative of sleep apnea.

5. The monitoring system of claim 1, wherein the pattern comprises a trend plot of SpO₂ data representative of a substantially normal oxygen saturation level and the graphical icon depicts characteristics of a generalized trend plot of SpO₂ data representative of a substantially normal oxygen saturation level.

6. The monitoring system of claim 1, wherein the pattern comprises a trend plot of SpO₂ data representative of slow oxygen desaturation and the graphical icon depicts characteristics of a generalized trend plot of SpO₂ data representative of a slow oxygen desaturation.

7. The monitoring system of claim 1, wherein the pattern comprises a trend of SpO₂ data representative of rapid oxygen desaturation and the graphical icon depicts characteristics of a generalized trend of SpO₂ data representative of rapid oxygen desaturation.

8. The monitoring system of claim 1, wherein the pattern comprises a trend of SpO₂ data representative of signal interference and the graphical icon depicts general characteristics of signal interference.

9. The monitoring system of claim 1, wherein the pattern comprises a trend of SpO₂ data representative of a weak signal and the graphical icon depicts general characteristics of a weak signal.

10. The monitoring system of claim 1, wherein the processor is capable of assigning a color to the graphical icon based on the pattern.

11. The monitoring system of claim 1, wherein the processor is capable of selecting a color of the graphical icon based on a severity associated with the pattern.

12. A method comprising:

computing one or more physiological parameters of a patient;

identifying a pattern in the physiological parameters indicative of a medical condition or a sensor fault;

selecting a graphical icon corresponding to the pattern, the graphical icon generally indicating that the medical condition or sensor fault has been detected; and

displaying the graphical icon.

13. The method of claim 12 comprising determining a severity of the medical condition or sensor fault, and providing attributes to the graphical icon based on the determined severity.

14. The method of claim 13 wherein providing attributes comprises providing a color scheme to indicate severity.

15. The method of claim 12, wherein the pattern comprises a pattern indicative of airway instability, sleep apnea, substantially normal oxygen saturation level, slow oxygen desaturation, rapid oxygen desaturation, signal interference, weak signal, sensor off, sensor disconnect, bad sensor placement, arrhythmia, venous pulsation, sensor motion, and/or electromagnetic or radio frequency interference, and/or combinations thereof.

16. The method of claim 12, wherein the pattern comprises a trend of SpO₂ data representative of airway instability and the graphical icon depicts an image having generalized characteristics of the trend of SpO₂ data representative of airway instability.

17. The method of claim 12, wherein the pattern comprises a trend of SpO₂ data representative of sleep apnea and the graphical icon depicts an image having generalized characteristics of the trend of SpO₂ data representative of sleep apnea.

18. The method of claim 12, wherein the pattern comprises a trend of SpO₂ data representative of consistent and acceptable oxygen saturation and the graphical icon depicts an image having generalized characteristics of the trend of SpO₂ data representative of consistent and acceptable oxygen saturation.

19. The method of claim 12, wherein the pattern comprises a trend of SpO₂ data representative of steady or slow oxygen desaturation and the graphical icon depicts an image having generalized characteristics of to the trend of SpO₂ data representative of steady or slow oxygen desaturation.

20. The method of claim 12, wherein the pattern comprises a trend of SpO₂ data representative of rapid oxygen desaturation and the graphical icon depicts an image having generalized characteristics of the trend of SpO₂ data representative of rapid oxygen desaturation.

21. The method of claim 12, wherein the pattern comprises a trend of SpO₂ data representative of signal interference and the graphical icon depicts an image having generalized characteristics of the trend of SpO₂ data representative of signal interference.

22. The method of claim 12, wherein the pattern comprises a trend of SpO₂ data representative of a weak signal and the graphical icon depicts an image having generalized characteristics of the trend of SpO₂ data representative of a weak signal.

23. An article comprising:

a tangible machine readable medium having stored thereon instructions that if executed, result in performance of a method comprising;

computing physiological data based on signals received from a patient;

recognizing a pattern in the physiological data, the pattern indicating a medical condition or sensor fault;

correlating the recognized pattern to a respective graphical icon representative of the recognized pattern; and

outputting the graphical icon to a graphical display.

24. The article of claim 23 comprising:

determining a level of severity indicated by the one or more patterns; and

providing attributes to the output graphical icon according to the level of severity.

25. The article of claim 23 comprising initiating an audible alarm in conjunction with the output graphical icon.

26. The article of claim 23 comprising alternating the display of the output graphical icon with display of the physiological data.