System And Method For Facilitating Observation Of Monitored Physiologic Data

• US 20100113908A1
• Filed: 10/30/2009
• Published: 05/06/2010
• Est. Priority Date: 10/31/2008
• Status: Abandoned Application

• Current Assignee: Covidien LP (Medtronic Plc)
• Original Assignee: Nellcor Puritan Bennett LLC (Medtronic Plc)
• Inventors: Wang, Hui, Li, Li, Amundson, Scott, Ochs, James, Boyce, Robin, Madere, Tonia, Vargas, Steve
• Application Number:
  US12/609,304
• Publication Number:
  US 20100113908A1
• Time in Patent Office: Days
• US Class Current: 600/364
• CPC Class Codes: A61B 2560/0276 Determining malfunction
• CPC Class Codes: A61B 5/14551 for measuring blood gases
• CPC Class Codes: A61B 5/742 using visual displays A61B5/339 takes precedence
• CPC Class Codes: A61B 5/743 Displaying an image simultaneously with additional graphical information, e.g. symbols, charts, function plots
• CPC Class Codes: A61B 5/7435 Displaying user selection data, e.g. icons in a graphical user interface
• CPC Class Codes: A61B 5/7445 Display arrangements, e.g. multiple display units
• CPC Class Codes: A61B 5/7475 User input or interface means, e.g. keyboard, pointing device, joystick
• CPC Class Codes: G06F 18/23 Clustering techniques
• CPC Class Codes: G16H 40/60 for the operation of medical equipment or devices
• 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
• CPC Class Codes: G16H 50/70 for mining of medical data, e.g. analysing previous cases of other patients

Abstract

Present embodiments are directed to a system and method capable of detecting and graphically indicating physiologic patterns in patient data. For example, present embodiments may include a monitoring system that includes a monitor capable of receiving input relating to patient physiological parameters and storing historical data related to the parameters. Additionally, the monitoring system may include a screen capable of displaying the historical data corresponding to the patient physiological parameters. Further, the monitoring system may include a pattern detection feature capable of analyzing the historical data to detect a physiologic pattern in a segment of the historical data and capable of initiating a graphical indication of the segment on the screen when the physiologic pattern is present in the segment.

Claims

1. A monitoring system, comprising:

a monitor capable of receiving input relating to patient physiological parameters and storing historical data related to the parameters;

a display feature capable of displaying the historical data corresponding to the patient physiological parameters;

a pattern detection feature capable of analyzing the historical data to detect a physiologic pattern in a segment of the historical data and capable of designating a graphical representation of the segment with a graphical indication on the display feature when the physiologic pattern is present in the segment; and

a display control feature capable of automatically finding and displaying an event in the historical data on the screen when the display control feature is activated.

2. The system of claim 1, wherein the display control feature is capable of automatically finding and displaying user-specified types of events.

3. The system of claim 1, wherein the historical data comprises a trend of pulse oximetry data and the physiologic pattern comprises a desaturation pattern.

4. The system of claim 1, wherein the historical data comprises a trend of pulse oximetry data and the physiologic pattern comprises a pattern indicative of ventilatory instability and/or sleep apnea.

5. The system of claim 1, wherein the graphical indication comprises highlighting or flashing the graphical representation of the segment via the display feature.

6. The system of claim 1, wherein the graphical indication comprises a color coded indication of an importance level of the detected physiologic pattern.

7. The system of claim 1, comprising a saturation pattern detection index calculation feature capable of determining a scoring metric associated with the detected physiological pattern.

8. The system of claim 1, comprising a dynamic status indicator capable of indicating a status of pattern detection and/or an index level of a detected event.

9. The system of claim 8, wherein the dynamic status indicator comprises a graphic triangle capable of filling with a color from the bottom of the triangle to the top of the triangle as a saturation pattern detection index value increases based on the historical data.

10. A method, comprising:

receiving input relating to patient physiological parameters;

storing historical data related to the input;

detecting and graphically indicating a physiologic pattern in a displayed trend of the historical data; and

automatically scrolling to the detected physiologic pattern in the displayed trend when a display control feature is activated.

11. The method of claim 10, wherein graphically indicating the physiologic pattern comprises highlighting, flashing, and/or changing a color of a segment of the displayed trend that corresponds to the historical data identified as including the detected physiologic pattern.

12. The method of claim 10, comprising detecting the physiologic pattern with a limit-based qualification feature and a linear qualification feature.

13. The method of claim 10, wherein the historical data comprises pulse oximetry data and the pattern comprises a desaturation pattern.

14. The method of claim 10, comprising displaying a most recent data segment including a user-specified type of an identified pattern when a signal is received from the display control feature.

15. The method of claim 10, comprising displaying a time scale corresponding to the displayed trend.

16. The method of claim 10, comprising displaying a time scale corresponding to a beginning and an end of the physiologic pattern.

17. A method, comprising:

receiving physiological data from a sensor;

identifying a plurality of events in the physiological data;

determining whether a physiologic pattern is present in the physiological data based on whether the plurality of events meet defined criteria;

displaying the physiological data as a trend; and

graphically designating a segment of the trend with a graphic indicator that corresponds to an identified physiologic pattern.

18. The method of claim 17, wherein the graphic indicator comprises highlighting and/or flashing the segment of the trend.

19. The method of claim 17, comprising displaying a time scale corresponding to the trend.

20. The method of claim 18, comprising displaying a second time scale corresponding to the segment of the trend that corresponds to the identified physiologic pattern.