Method and apparatus for quantitative assessment of cardiac electrical events

• US 8,209,002 B2
• Filed: 07/31/2008
• Issued: 06/26/2012
• Est. Priority Date: 08/01/2007
• Status: Active Grant

• Current Assignee: eResearchTechnology, Inc. (Explorer Holdings, Inc.)
• Original Assignee: Newcardio, Inc.
• Inventors: Vajdic, Branislav, Lunginovic, Alexander D., Hadzievski, Ljupco, Bojovic, Bosko
• Primary Examiner(s): Lavert, Nicole F
• Application Number:
  US12/184,068
• Publication Number:
  US 20090088655A1
• Time in Patent Office: 1,426 Days
• Field of Search: 600508-509, 600/512, 600/513, 600/516
• US Class Current: 600/512
• CPC Class Codes: A61B 5/341 Vectorcardiography [VCG]
• CPC Class Codes: A61B 5/349 Detecting specific parameters of the electrocardiograph cycle

Abstract

Method and apparatus for computer enabled analysis of ECG (electro cardiographic) data by exploiting computerized three-dimensional spatial presentation of the measured data using vectors. A three-dimensional presentation of the human heart may be correlated with waveforms specific for standard ECG or derived ECG signals based on the dipole approximation of the heart electrical activity. Additional tools for analyzing ECG data are also provided which may be used to determine the time of cardiac electrical events, to select specific beats for automated cardiac interval determination, and to flag ECGs that have been evaluated by automated means but may benefit by human reading.

Claims

1. A computer-assisted method for assessing a set of recorded body-surface ECG signals, comprising:

receiving a set of ECG signals recorded from a patient body surface;

using a processor to process the set of recorded body surface ECG signals, including identifying or calculating a respective reliability factor for each ECG signal based at least in part on a variability of at least three QT intervals or rate-corrected QT intervals in the respective ECG signal; and

evaluating the respective identified or calculated reliability factor for each ECG signal in order to assess whether the respective ECG signal should be automatically processed with ECG signals of the set.

2. The method of claim 1, wherein evaluating a respective reliability factor comprises using a processor to calculate a confidence score correlating to the reliability factor.

3. The method of claim 1, wherein the reliability factor is indicative of whether the respective ECG signal should be manually over-read.

4. The method of claim 2, wherein the confidence score is indicative of whether the respective ECG signal should be automatically processed with ECG signals of the set.

5. The method of claim 1, wherein the reliability factors are based on a variability of a cardiac rhythm in the respective ECG signals.

6. The method of claim 1, wherein the reliability factors are based on a variability of one or more QT intervals or rate-corrected QT intervals in the respective ECG signals.

7. The method of claim 1, wherein the reliability factors are based on whether a duration of one or more QT intervals or rate-corrected QT intervals in the respective ECG signals are shorter or longer than a respective threshold QT interval or rate-corrected QT interval duration.

8. The method of claim 1, wherein the reliability factors are based on whether one or more voltages in the respective ECG signals are lower or higher than a respective threshold voltage.

9. The method of claim 8, wherein the one or more voltages comprise one or more automatically identified ST voltages.

10. The method of claim 1, wherein the reliability factors are based on whether a respective duration of one or more QRS complexes in the respective ECG signals exceed a threshold QRS complex duration.

11. The method of claim 1, wherein the reliability factors are based on whether a presence of high or low-frequency interference or noise in the respective ECG signals that exceeds a threshold level of high or low-frequency interference or noise.

12. The method of claim 1, wherein the reliability factors are based on automatically determining whether the respective ECG signals were recorded with missing or inverted ECG patient leads.

13. A computer-assisted method for assessing recorded body surface ECG signal, comprising:

receiving a recorded patient body surface ECG signal comprising a plurality of cardiac cycles;

using a processor to process the recorded body surface ECG signal, including identifying or calculating a respective reliability factor for each of two or more cardiac cycles in the ECG signal based at least in part on a variability of at least three QT intervals or rate-corrected QT intervals in the respective ECG signal; and

evaluating the respective identified or calculated reliability factor for each of the two or more cardiac cycles in order to assess whether the respective cardiac cycle should be automatically processed with cardiac cycles of the ECG signal.

14. The method of claim 13, further comprising determining whether the respective cardiac cycle should be excluded from any further processing with cardiac cycles of the ECG signal based on the evaluation of their respective reliability factors.

15. The method of claim 13, wherein the respective reliability factors are based on a variability of a cardiac rhythm in the ECG signal, or a variability of one or more QT intervals or rate-corrected QT intervals in the ECG signal.

16. The method of claim 13, wherein the respective reliability factors are based on one or more of:

whether a duration of one or more QT intervals or rate-corrected QT intervals in the ECG signal is shorter or longer than a respective threshold QT interval or rate-corrected QT interval duration,

whether one or more voltages in the ECG signal is lower or higher than a respective threshold voltage,

whether a respective duration of one or more QRS complexes in the ECG signal exceeds a threshold QRS complex duration,

whether a T-wave in the ECG signal contains substantial distortion or morphologic changes,

whether a T-wave in the ECG signal has a substantial baseline wander,

whether a presence of high or low-frequency interference or noise in the ECG signal that exceeds a threshold level of high or low-frequency interference or noise, and

whether the ECG signal was recorded with missing or inverted ECG patient leads.

17. A computer-assisted method for assessing a set of recorded body-surface ECG signals, comprising:

receiving a set of recorded patient body surface ECG signals, each recorded ECG signal having at least three cardiac complexes with complete QRS and T wave electrical data;

for each recorded signal, using a processor to (i) identify the at least three cardiac complexes having QRS complete and T wave electrical data in the set of recorded body surface ECG signals that are most similar to one another, and (ii) determine the respective timing of one or more cardiac electrical events in the signal based on the at least three identified cardiac complexes; and

evaluating the respective timing of the one or more cardiac electrical events to thereby establish a reliability of the respective ECG signal in order to assess whether the respective ECG signal should be automatically processed with ECG signals of the set.

18. The method of claim 17, wherein the ECG signals are recorded from at least 3 distinct points on the patient body surface.

19. A computer-assisted method for determining the time of a cardiac electrical event from a set of ECG signals recorded from the body surface, comprising:

receiving a set of recorded patient body surface ECG signals, each recorded ECG signal having at least three cardiac complexes with complete QRS and T wave electrical data;

using a processor to determine a respective dissimilarity factor for each possible combination of three cardiac complexes with complete QRS and T wave electrical of the ECG signals, wherein said dissimilarity factor is determined from at least 3 cardiac complexes with complete QRS complex and T wave electrical data; and

evaluating the respective dissimilarity factor for each ECG signal to thereby establish a reliability of the respective ECG signal in order to assess whether the respective ECG signal should be automatically processed with ECG signals of the set.

20. The method of claim 19, wherein the ECG signals are recorded from at least 3 distinct points on the patient body surface.