Electrocardiogram analysis

• US 9,867,577 B2
• Filed: 10/30/2015
• Issued: 01/16/2018
• Est. Priority Date: 05/24/2013
• Status: Active Grant

• Current Assignee: Universiteit Gent Vzw
• Original Assignee: Universiteit Gent Vzw
• Inventors: Gheeraert, Peter, El Haddad, Milad
• Primary Examiner(s): Bertram, Eric D.
• Application Number:
  US14/927,835
• Publication Number:
  US 20160045167A1
• Time in Patent Office: 809 Days
• CPC Class Codes: A61B 5/0245 by using sensing means generating electric signals, i.e. ECG signals
• CPC Class Codes: A61B 5/25 Bioelectric electrodes therefor
• CPC Class Codes: A61B 5/341 Vectorcardiography [VCG]
• CPC Class Codes: A61B 5/349 Detecting specific parameters of the electrocardiograph cycle
• CPC Class Codes: A61B 5/35 by template matching
• CPC Class Codes: A61B 5/6823 Trunk, e.g., chest, back, abdomen, hip
• 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: A61B 5/7282 Event detection, e.g. detecting unique waveforms indicative of a medical condition A61B5/4094, A61B5/4818, A61B5/349, A61B5/0823 take precedence

Abstract

A device 1 is described for analyzing electrocardiogram data. The device comprises processing means for comparing at least one parameter, indicative of a morphological feature comprising a multi-dimensional ST segment feature, derived from a temporal sequence of electrocardiogram data to a previously determined distribution of the at least one parameter. Based on the comparison, a signal representative of a risk of a myocardial infarction occurring in the body of the user is provided. A corresponding method and device are also described. The electrocardiogram data comprises a bipolar measurement between a chest electrode point and the right upper extremity, a bipolar measurement between the left crista iliaca and the right upper extremity and a bipolar measurement between the left and the right upper extremity.

Claims

1. A device for analyzing electrocardiogram data, the device comprising:

an input means for obtaining a temporal sequence of electrocardiogram data registered by at least 2 electrodes corresponding to a plurality of predetermined locations on the body of a user,

a processing unit connected to said input means to receive and process the temporal sequence of electrocardiogram data, the processing unit being programmed for determining at least one parameter indicative of a morphological feature of said temporal sequence of electrocardiogram data, the morphological feature comprising a multi-dimensional ST segment feature, and for performing a comparison of said at least one parameter to a previously determined distribution of the at least one parameter; and

an output means connected to said processing unit for generating a signal taking into account said comparison, the signal being representative of a risk of a myocardial infarction occurring in said body,

wherein the electrocardiogram data comprises;

a) a first bipolar measurement obtained between a chest electrode point on the body located between 3 cm and 6 cm above the fourth left parasternal intercostal space and a location on the right upper extremity,

b) a second bipolar measurement obtained between the left crista iliaca and the location on the right upper extremity, and

c) a third bipolar measurement obtained between a location on the left upper extremity and the location on the right upper extremity.

2. The device according to claim 1, wherein said processing unit is adapted for performing said comparison by comparing said at least one parameter to said previously determined distribution of the at least one parameter, said distribution corresponding to a distribution of the at least one parameter over a population of reference samples, said population substantially consisting of samples of the at least one parameter obtained from a plurality of different individuals having the same gender as said user.

3. The device according to claim 2, wherein the processing unit is programmed for performing said comparison by subtracting from at least one parameter an average of said at least one parameter over said previously determined distribution to obtain a shift vector, and applying a coordinate transformation to said shift vector.

4. The device according to claim 2, wherein the input means is adapted for obtaining a temporal sequence of electrocardiogram data comprising at least three time series of bipolar measurements, each of the time series being recorded consecutively.

5. The device according to claim 1, wherein said processing unit is adapted for performing said comparison by comparing said at least one parameter to a previously recorded individual spatial reference of said at least one parameter obtained from said user under a plurality of different physiological conditions.

6. The device according to claim 5, wherein said device is furthermore adapted for prompting the user for inputting during a calibration and/or re-calibration procedure a temporal sequence of electrocardiogram data registered by a plurality of electrodes corresponding to the plurality of predetermined locations on the body of the user obtained under a plurality of different physiological conditions.

7. The device according to claim 5, wherein the processing unit is adapted for performing said comparison of said at least one parameter to said previously determined distribution by subtracting an average of said at least one parameter obtained from said user under a plurality of different physiological conditions, corresponding to said previously recorded individual spatial reference, to obtain a shift vector and for applying a coordinate transformation to said shift vector.

8. The device according to claim 7, wherein the processing unit is furthermore adapted for applying said coordinate transformation to said shift vector, wherein said coordinate transformation is determined by a principal component analysis of a further distribution of the at least one parameter over a population of reference samples obtained from a plurality of different individuals.

9. The device according to claim 7, wherein the processing unit is furthermore adapted for applying said coordinate transformation to said shift vector, wherein said coordinate transformation is determined by a principal component analysis of said at least one parameter obtained from said user under a plurality of different physiological conditions corresponding to said previously recorded individual spatial reference.

10. The device according to claim 1, wherein the device is a smartphone.

11. The device according to claim 1, wherein the at least one parameter is indicative of a multi-dimensional vector of ST segment features.

12. The device according to claim 1, wherein the processing unit is adapted for determining at least one value indicative of a morphological feature defined for a local time interval less than the duration of a representative heartbeat.

13. The device according to claim 1, wherein the processing unit is adapted for determining at least one value indicative of a property of at least one ST segment in said temporal sequence of electrocardiogram data.

14. The device according to claim 1, wherein the processing unit is adapted for determining at least one value indicative of J-point elevation.

15. The device according to claim 1, wherein the processing unit is adapted for, for each subsequence corresponding to a single heartbeat in said temporal sequence, detecting a first fiducial marker in the ST segment and detecting a second fiducial marker in the PR segment, and calculating the difference in amplitude between the first fiducial marker and the second fiducial marker aggregated over a plurality of said subsequences.

16. A method for analyzing electrocardiogram data, the method comprising:

obtaining a temporal sequence of electrocardiogram data registered by at least two electrodes corresponding to a plurality of predetermined locations on the body of a user, wherein the electrocardiogram data comprises;

a) a first bipolar measurement between a chest electrode point on the body located between 3 cm and 6 cm above the fourth left parasternal intercostal space and a location on the right upper extremity,

b) a second bipolar measurement between the left crista iliaca and the location on the right upper extremity, and

c) a third bipolar measurement between a location on the left upper extremity and the location on the right upper extremity;

determining at least one parameter indicative of a morphological feature of said temporal sequence of electrocardiogram data, the morphological feature comprising a multi-dimensional ST segment feature;

performing a comparison of said at least one parameter to a previously determined distribution of the at least one parameter; and

generating a signal, representative of a risk of a myocardial infarction occurring in the body of the user, taking into account said comparison.

17. The method according to claim 16, wherein performing said comparison comprises subtracting from the at least one parameter an average of said at least one parameter over said previously determined distribution to obtain a shift vector, and applying a coordinate transformation to said shift vector.

18. A method according to claim 17, wherein said comparison of said at least one parameter to said previously determined distribution is performed by subtracting an average of said at least one parameter obtained from said user under a plurality of different physiological conditions, corresponding to said previously recorded individual spatial reference, to obtain a shift vector and for applying a coordinate transformation to said shift vector.

19. A method according to claim 16, wherein obtaining a temporal sequence of electrocardiogram data comprises obtaining at least three time series of bipolar measurements, each of the time series being recorded consecutively.

20. A method according to claim 16, wherein said previously determined distribution of the at least one parameter corresponds to a distribution of the at least one parameter over a population of reference samples, said population substantially consisting of samples of the at least one parameter obtained from a plurality of different individuals having the same gender as said user.