Detection and grouping analysis of cardiac cycles

• US 5,311,867 A
• Filed: 01/04/1993
• Issued: 05/17/1994
• Est. Priority Date: 01/04/1993
• Status: Expired due to Fees

• Current Assignee: Biomagnetic Technologies, Inc.
• Original Assignee: Biomagnetic Technologies, Inc.
• Inventors: Kynor, David
• Primary Examiner(s): Kamm, William E.
• Assistant Examiner(s): MANUEL, GEORGE C
• Application Number:
  US08/000,141
• Time in Patent Office: 498 Days
• Field of Search: 128/653.1, 128/695, 128/696, 128/702, 364/413.06, 324/244, 324/248
• US Class Current: 600/409
• CPC Class Codes: A61B 5/243 specially adapted for magnetocardiographic [MCG] signals
• 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: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems

Abstract

The physiology of the heart is analyzed by measuring a series of cardiac cycles using a biomagnetometer or other device capable of detecting cardiac cycles, classifying the cardiac cycles into groups according to the degree of correlation with a template cardiac cycle for the group, and associating the cardiac cycles of the groups with an origin location within the subject. The classifying operation preferably includes selecting a template cardiac cycle against which other previously ungrouped cardiac cycles are to be correlated, performing a correlation analysis of all previously ungrouped cardiac cycles with the template cardiac cycle, and associating with the template cardiac cycle all previously ungrouped cardiac cycles having at least a preselected degree of correlation, to form a group.

Claims

1. Apparatus for measuring the physiology of the heart, comprising:

means for detecting a series of cardiac cycles of a subject;

means for storing the patterns of the series of cardiac cycles detected by the means for detecting;

means for performing correlation analysis of cardiac cycles in the series of cardiac cycles; and

means for classifying groupings of cardiac cycles, the means for classifying comprising

means for identifying a first template cardiac cycle,

means for forming a first selected group of cardiac cycles from among those of the series of cardiac cycles having at least a first preselected degree of correlation with the first template cardiac cycle, and leaving a first ungrouped group of cardiac cycles having a correlation less than the first preselected degree of correlation,

means for selecting a second template cardiac cycle from the first ungrouped group of cardiac cycles, and

means for forming a second group of cardiac cycles from among the first ungrouped group of cardiac cycles having at least a second preselected degree of correlation with the second template cardiac cycle, and leaving a second ungrouped group of cardiac cycles having a correlation less than the second preselected degree of correlation.

2. The apparatus of claim 1, wherein the means for detecting includes a biomagnetometer that detects the magnetic fields produced by cardiac cycles.

3. The apparatus of claim 1, wherein the means for classifying further includes

means for selecting a further template cardiac cycle from among those not previously selected, and

means for forming a further group of cardiac cycles from among the those not previously selected having at least a preselected degree of correlation with the further template cardiac cycle.

4. The apparatus of claim 1, further including

means for averaging, on a point-by-point basis, all of the cardiac cycles in a group.

5. The apparatus of claim 1, wherein the means for selecting a second template includes means for selecting the cardiac cycle having a lowest degree of correlation with the first template.

6. Apparatus for measuring the physiology of the heart, comprising:

biomagnetometer means for detecting magnetic fields produced by a beating heart of a subject;

means for storing the patterns of a series of cardiac cycles detected by the biomagnetometer means;

means for performing correlation analysis of cardiac cycles in the series of cardiac cycles; and

means for classifying the series of cardiac cycles into a plurality of groups, the means for classifying including means for identifying each group, including

means for identifying a group template cardiac cycle, and

means for forming a group of cardiac cycles from among those of the series of cardiac cycles not previously classified into a group and having at least a preselected degree of correlation with the template cardiac cycle.

7. The apparatus of claim 6, wherein the apparatus further includes

means for averaging, on a point-by-point basis, all of the cardiac cycles in a group.

8. The apparatus of claim 6, further including

means for identifying a group containing an anomalous cardiac cycle.

9. The apparatus of claim 6, wherein each succeeding template cardiac cycle is selected as the remaining ungrouped cardiac cycle having the lowest degree of correlation with the last-selected template cardiac cycle.

10. A method for measuring the physiology of the heart, comprising the steps of:

providing an apparatus that detects cardiac cycles of a subject;

detecting magnetic signals corresponding to a time sequence of a plurality of cardiac cycles of a subject, utilizing the apparatus; and

classifying the series of cardiac cycles into a number of groups according to the degree of correlation of each cardiac cycle with a template cardiac cycle for each group.

11. The method of claim 10, including the additional step, after the step of classifying, of

associating the cardiac cycles of at least one group with a physical condition of the subject.

12. The method of claim 10, wherein the step of classifying includes the substeps of

selecting a template cardiac cycle against which other previously ungrouped cardiac cycles are to be correlated;

performing a correlation analysis of all previously ungrouped cardiac cycles with the template cardiac cycle; and

associating with the template cardiac cycle all previously ungrouped cardiac cycles having at least a preselected degree of correlation therewith, to form a group.

13. The method of claim 12, including the further step of repeating the steps of selecting, performing, and associating until all cardiac cycles have been associated with a group.

14. The method of claim 13, wherein the template cardiac cycle for each succeeding group is that previously ungrouped cardiac cycle having the lowest degree of correlation with the previous template cardiac cycle.

15. The method of claim 12, further including a step, after the step of associating, of

identifying a group containing an anomalous cardiac cycle.

16. The method of claim 12, further including a step, after the step of associating, of

averaging, on a point-by-point basis, all of the cardiac cycles in a group.

17. The method of claim 10, wherein the apparatus is a biomagnetometer.

18. The method of claim 10, wherein the apparatus is an electrocardiograph.