Electrocardiogram analysis

Patent metadata

Field	Value
Publication number	US-10357205-B2
Application number	US-201514927775-A
Country	US
Kind code	B2
Filing date	Oct 30, 2015
Priority date	May 24, 2013
Publication date	Jul 23, 2019
Grant date	Jul 23, 2019

Abstract

A device is described for analyzing electrocardiogram data. The device comprises processing means for comparing at least one parameter derived from a temporal sequence of electrocardiogram data a previously recorded distribution of that parameter obtained from the user under a plurality of different physiological conditions. 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, device and computer application for installing on a user device are also described.

First claim

The invention claimed is:

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 said at least one parameter, the previously determined distribution being obtained from said user under a plurality of different physiological conditions; 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.

2. The device according to claim 1 , wherein the electrocardiogram data registered by at least 2 electrodes corresponding to a plurality of predetermined locations on the body of a user comprises 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.

3. The device according to claim 2 , wherein the electrocardiogram data registered by at least 2 electrodes corresponding to a plurality of predetermined locations on the body of a user furthermore comprises a second bipolar measurement obtained between the left crista iliaca and the location on the right upper extremity, and a third bipolar measurement obtained between a location on the left upper extremity and the location on the right upper extremity.

4. The device according to claim 1 , wherein said device is furthermore adapted for prompting a 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.

5. The device according to claim 4 , wherein the processing unit is furthermore adapted for deriving an updated distribution of said at least one parameter based on said temporal sequence inputted during a re-calibration procedure.

6. The device according to claim 4 , 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 determined distribution, to obtain a shift vector and for applying a coordinate transformation to said shift vector.

7. The device according to claim 6 , 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.

8. The device according to claim 6 , 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 determined distribution.

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

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

11. The device according to claim 1 , wherein said different physiological conditions are different conditions of metabolic exertion.

12. A method for analyzing electrocardiogram data, the method comprising:
obtaining a temporal sequence of electrocardiogram data registered by a at least two electrodes corresponding to a plurality of predetermined locations on the body of a user,
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;
obtaining a previously determined distribution of said at least one parameter obtained from said user under at least two different physiological conditions;
performing a comparison of said at least one parameter to said previously determined distribution of said 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.

13. The method according to claim 12 , wherein obtaining the temporal sequence of electrocardiogram data comprises obtaining electrocardiogram data using a measurement wherein a chest electrode point is located between 3 cm and 6 cm above the fourth left parasternal intercostal space on the body of the user.

14. A method according to claim 12 , 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.

15. The method according to claim 14 , wherein the method comprises, prior to said obtaining of said temporal sequence of electrocardiogram data, updating the previously determined distribution of said at least one parameter obtained from said user under a plurality of different physiological conditions.

16. The method according to claim 15 , wherein said updating comprises obtaining a temporal sequence of electrocardiogram data registered by a plurality of electrodes corresponding to a plurality of predetermined locations on the body of a user under a plurality of different physiological conditions, as prompted.

17. The method according to claim 12 , wherein obtaining the temporal sequence of electrocardiogram data comprises obtaining the temporal sequence of electrocardiogram data, in which the electrocardiogram data comprises a first bipolar measurement between a chest electrode point and the right shoulder, a second bipolar measurement between the left crista iliaca and the right shoulder, and a third bipolar measurement between the left shoulder and right shoulder.

18. The method according to claim 12 , wherein performing said comparison comprises subtracting from the at least one parameter an average of said at least one parameter obtained from said user under said at least two different physiological conditions, corresponding to said previously determined distribution of said at least one parameter, to obtain a shift vector, and applying a coordinate transformation to said shift vector.

19. The method according to claim 18 , wherein applying said coordinate transformation to said shift vector comprises determining said coordinate transformation 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.

20. The method according to claim 18 , wherein app

Assignees

• Univ Gent
• Univ

Inventors

• Gheeraert Peter
• El Haddad Milad

Classifications

• A61B5/7271 Primary

  Specific aspects of physiological measurement analysis (specific diagnostics methods using bioelectric or biomagnetic signals A61B5/316) · CPC title

• A61B5/04525

  Human Necessities · mapped topic

• A61B5/0408

  Human Necessities · mapped topic

• A61B5/0452

  Human Necessities · mapped topic

• A61B5/6823

  Trunk, e.g., chest, back, abdomen, hip · CPC title