3D anatomical visualization of physiological signals for online monitoring

• US 20070027368A1
• Filed: 07/05/2006
• Published: 02/01/2007
• Est. Priority Date: 07/14/2005
• Status: Abandoned Application

• Current Assignee: Siemens Medical Solutions USA Incorporated (Siemens AG)
• Original Assignee: Siemens Medical Solutions USA Incorporated (Siemens AG)
• Inventors: Wachmann, Bernd, Collins, John, Singh, Mohan, de Castro Esteves, Marcela, Wehrwein, Brad
• Application Number:
  US11/481,164
• Publication Number:
  US 20070027368A1
• Time in Patent Office: Days
• US Class Current: 600/300
• CPC Class Codes: A61B 3/0041 characterised by display arrangements
• CPC Class Codes: A61B 5/00 Measuring for diagnostic purposes radiation diagnosis A61B6/00; diagnosis by ultrasonic, sonic or infrasonic waves A61B8/00; Identification of persons
• CPC Class Codes: G16H 15/00 ICT specially adapted for medical reports, e.g. generation or transmission thereof

Abstract

A method for visualization of a physiological signal, comprising the steps of acquiring a time-series signal from the physiological signal, identifying a patient condition from the time-series signal, displaying a 3D image of a body, and displaying a visual indicator representative of the patient condition on the 3D image of a body.

Claims

1. A method for anatomical visualization of a physiological signal, comprising the steps of:

acquiring a time-series signal from the physiological signal;

identifying a patient condition from the time-series signal;

displaying a 3D image of a body; and

displaying a visual indicator representative of the patient condition on the 3D image of a body.

2. The method of claim 1, wherein identifying the patient condition from the time-series signal comprises:

periodically extracting statistics of the time-series signal over a predetermined time period, wherein the statistics include one of moving averages of amplitude, minimum amplitude values, maximum amplitude values and slope trend information;

comparing the statistics with a predetermined library of statistical models to determine a match, wherein each of the statistical models corresponds to a patient condition; and

when the match is determined, outputting the patient condition.

3. The method of claim 1, wherein the visual indicator appears as a 3D anatomical structure representative of the corresponding physiological signal.

4. The method of claim 3, wherein the 3D anatomical structure changes periodically in color and brightness to indicate that the patient condition is critical or is approaching a critical state.

5. The method of claim 3, wherein the 3D anatomical structure has a constant color to indicate that the patient condition is stable.

6. The method of claim 3, wherein the 3D anatomical structure comprises vessels when the physiological signal is a blood pressure physiological signal.

7. The method of claim 3, wherein the 3D anatomical structure comprises skin when the physiological signal is a blood oxygen saturation physiological signal.

8. The method of claim 3, wherein the 3D anatomical structure comprises a heart when the physiological signal is a heart rate physiological signal.

9. The method of claim 3, wherein the 3D anatomical structure comprises a lung when the physiological signal is for a respiratory rate physiological signal.

10. The method of claim 1, wherein when the patient condition is exceedingly critical, an audible alarm is sounded.

11. The method of claim 1, wherein the 3D image of a body is derived from computer tomography data.

12. A method for visualizing a plurality of physiological signals, comprising the steps of:

acquiring a plurality of time-series signals from the corresponding plurality of physiological signals;

identifying a plurality of patient conditions from the time-series signals;

displaying a 3D image of a body; and

displaying a plurality of visual indicators on the 3D image of a body which correspond to the patient conditions.

13. The method of claim 12, wherein identifying the plurality of patient conditions from the time-series signals comprises:

periodically extracting statistics for a corresponding one of the time-series signals over a predetermined time period, wherein the statistics include one of moving averages of amplitude, minimum amplitude values, maximum amplitude values and slope trend information;

comparing the statistics with a predetermined library of statistical models to determine a match, wherein each of the statistical models corresponds to a patient condition; and

when the match is determined, outputting the patient condition.

14. The method of claim 12, wherein each of the visual indicators appears as an anatomical structure representative of the corresponding physiological signal.

15. The method of claim 14, wherein the anatomical structure changes periodically in color and brightness to indicate a critical condition or an approaching critical condition.

16. The method of claim 14, wherein the anatomical structure has a constant color to indicate a stable condition.

17. A computer readable medium having program instructions stored thereto for implementing the method claimed in claim 12 when executed in a digital processing device.

18. An apparatus for visualization of a plurality of physiological signals, comprising:

a time-series signal generation unit for acquiring a plurality of physiological signals and generating a plurality of time-series signals;

a patient condition analyzer unit for analyzing the time-series signals and generating patient condition data; and

a display unit for displaying the patient condition data as a 3D anatomical structure on a 3D template body.

19. The apparatus of claim 18, wherein the 3D anatomical structure is representative of a corresponding one of the physiological signals.

20. The apparatus of claim 18, wherein the 3D anatomical structure changes periodically in color and brightness when the patient condition data indicates a critical patient condition.

21. The apparatus of claim 18, wherein the anatomical structure remains a constant color when the patent condition data indicates a stable patient condition.

22. The apparatus of claim 18, further comprising an alarm unit for sounding an audible alarm when the patient condition data indicates an exceedingly critical patient condition.