Fusion of computerized medical data

• US 20030114763A1
• Filed: 12/13/2001
• Published: 06/19/2003
• Est. Priority Date: 12/13/2001
• Status: Abandoned Application

• Current Assignee: GE Medical Systems Information Technologies Incorporated (GE Healthcare Technologies, Inc.)
• Original Assignee: GE Medical Systems Information Technologies Incorporated (GE Healthcare Technologies, Inc.)
• Inventors: Taha, Basel Hasan, Xue, Joel Q., Reddy, Shankara B.
• Application Number:
  US09/683,322
• Publication Number:
  US 20030114763A1
• Time in Patent Office: Days
• US Class Current: 600/483
• CPC Class Codes: A61B 5/316 Modalities, i.e. specific diagnostic methods
• CPC Class Codes: A61B 5/318 Heart-related electrical modalities, e.g. electrocardiography [ECG]
• CPC Class Codes: A61B 5/7264 Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems neural networks per se G06N3/00; expert systems per se G06N5/00
• 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: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 15/00 ICT specially adapted for medical reports, e.g. generation or transmission thereof
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16H 50/30 for calculating health indices; for individual health risk assessment

Abstract

A method and system of diagnosing cardiac syndromes. The method includes acquiring data from a first and second diagnostic test, and then processing the data from the first and second diagnostic test to produce a first and a second indicator. Next the indicators are combined and a risk of a cardiac syndrome based on the combination of the indicators is calculated. The system includes a first and a second physiological activity acquisition module and a fusion engine to receive the data acquired by the modules and to generate a risk of ACS based on a combination of the data.

Claims

1. A method of diagnosing cardiac syndromes, the method comprising the acts of:

acquiring data from a first diagnostic test;

processing the data from the first diagnostic test to produce an indicator;

acquiring data from a second diagnostic test;

processing the data from the second diagnostic test to produce a second indicator;

combining the indicators; and

calculating a risk of a cardiac syndrome based on the combination of indicators.

2. A method as set forth in claim 1, further comprising the acts of acquiring data from a third diagnostic test and processing the data from the third diagnostic test to produce a third indicator.

3. A method as set forth in claim 1, wherein the act of combining the indicators includes a Mamdani inference method.

4. A method as set forth in claim 1, wherein the act of calculating a risk of a cardiac syndrome includes a Mamdani inference method.

5. A method as set forth in claim 1, wherein the act of acquiring data from a first diagnostic test includes acquiring diagnostic data of a first type.

6. A method as set forth in claim 5, wherein the act of acquiring data from a first diagnostic test is performed by an ECG acquisition module.

7. A method as set forth in claim 5, wherein the act of acquiring data from a first diagnostic test is performed by a biochemical testing module.

8. A method as set forth in claim 5, wherein the act of acquiring data from a first diagnostic test is performed by a history acquisition module.

9. A method as set forth in claim 5, wherein the act of acquiring data from a first diagnostic test is performed by a nuclear imaging module.

10. A method as set forth in claim 5, wherein the act of acquiring data from a first diagnostic test is performed by an ultrasonic imaging module.

11. A method as set forth in claim 5, wherein the act of acquiring data from a second diagnostic test includes acquiring diagnostic data of a second type that differs from the diagnostic data acquired by the first diagnostic test.

12. A method as set forth in claim 11, wherein the act of acquiring data from a second diagnostic test includes acquiring data from an ECG acquisition module.

13. A method as set forth in claim 11, wherein the act of acquiring data from a second diagnostic test includes acquiring data from a biochemical testing module.

14. A method as set forth in claim 11, wherein the act of acquiring data from a second diagnostic test includes acquiring data from a history acquisition module.

15. A method as set forth in claim 11, wherein the act of acquiring data from a second diagnostic test includes acquiring data from a nuclear imaging module.

16. A method as set forth in claim 11, wherein the act of acquiring data from a second diagnostic test includes acquiring data from an ultrasonic imaging module.

17. A method as set forth in claim 1, wherein the method is for diagnosing acute cardiac syndromes.

18. A cardiac syndrome diagnostic system comprising:

a first cardiac activity acquisition device operable to generate a first cardiac activity data;

a second cardiac activity acquisition device operable to generate a second cardiac activity data;

one or more processors to generate a first and second indicator based on the first and second cardiac activity data, respectively; and

a fusion engine operable to receive the first and second indicators, generate a first and second set of degrees of membership based on the first and second indicators, and generate a risk of a cardiac syndrome based on a combination of the first and second sets of degrees of membership and a set of predetermined rules.

19. A system as set forth in claim 18, wherein the fusion engine includes a fuzzifier.

20. A system as set forth in claim 18, wherein the fusion engine includes an inference engine.

21. A system as set forth in claim 18, wherein the fusion engine includes a defuzzifier.

22. A system as set forth in claim 18, wherein the system diagnoses acute cardiac syndromes.

23. A diagnostic system comprising:

a first physiological activity acquisition module;

a second physiological activity acquisition module; and

a fusion engine operable to receive data from the first and second modules and to generate a risk of ACS based on a combination of the data received from the first and second modules.

24. A system as set forth in claim 23, wherein the combination of the data received from the first and second modules is based on fuzzy logic algorithms.

25. A system as set forth in claim 23, wherein the first physiological activity acquisition module performs a first physiological test on physiological data of a first type.

26. A system as set forth in claim 25, wherein the first physiological activity acquisition module is an ECG acquisition module.

27. A system as set forth in claim 25, wherein the first physiological activity acquisition module is a biochemical testing module.

28. A system as set forth in claim 25, wherein the first physiological activity acquisition module is a history acquisition module.

29. A system as set forth in claim 25, wherein the first physiological activity acquisition module is a nuclear imaging module.

30. A system as set forth in claim 25, wherein the first physiological activity acquisition module is an ultrasonic imaging module.

31. A system as set forth in claim 25, wherein the second physiological activity acquisition module performs a second physiological test on physiological data of a second type that is different than the first type of physiological data.

32. A system as set forth in claim 31, wherein the second physiological activity acquisition module is an ECG acquisition module.

33. A system as set forth in claim 31, wherein the second physiological activity acquisition module is a biochemical testing module.

34. A system as set forth in claim 31, wherein the second physiological activity acquisition module is a history acquisition module.

35. A system as set forth in claim 31, wherein the second physiological activity acquisition module is a nuclear imaging module.

36. A system as set forth in claim 31, wherein the second physiological activity acquisition module is an ultrasonic imaging module.

37. A method for diagnosing acute cardiac syndromes (ACS), the method comprising the acts of:

acquiring ECG data;

processing the ECG data to produce an ECG indicator;

acquiring biomarker data;

processing the biomarker data to produce a biomarker indicator;

combining the indicators; and

calculating a risk of ACS using fuzzy logic rules.

38. A method of diagnosing cardiac syndromes, the method comprising the acts of:

acquiring data from a plurality of diagnostic tests;

processing the data from the plurality of diagnostic tests to produce a plurality of indicators;

combining the plurality of indicators; and

calculating a risk of a cardiac syndrome based on the combination of the plurality of indicators.

39. A method as set forth in claim 38, wherein the cardiac syndrome is an acute cardiac syndrome.