Region of interest focal source detection

Patent metadata

Field	Value
Publication number	US-10517496-B2
Application number	US-201715404266-A
Country	US
Kind code	B2
Filing date	Jan 12, 2017
Priority date	Jan 14, 2016
Publication date	Dec 31, 2019
Grant date	Dec 31, 2019

Abstract

A method of atrial focal source detection is provided which includes detecting, via sensors, electro-cardiogram (ECG) signals over time. Each ECG signal is detected via one of the sensors and indicates electrical activity of a heart. The method also includes determining, for each ECG signal, local activation times (LATs) each indicating a time of one of a plurality of atrial activations of a corresponding ECG signal and detecting whether one or more focal source areas of activation in the heart is indicated based on the detected ECG signals and the one or more local LATs. S-waves can be distinguished from non-S-waves by generating models for each atrial activation and classifying atrial activations. Maps can be generated by visually indicating, for each sensor, a level of incidence of the atrial activations occurring before atrial activations of neighboring sensors within a period of time.

First claim

What is claimed is:

1. A method of atrial focal source detection which improves processing performance, the method comprising:
detecting, via a plurality of sensors, electro-cardiogram (ECG) signals over time, each ECG signal detected via one of the plurality of sensors and indicating electrical activity of a heart;
determining, for each of the plurality of ECG signals, local activation times (LATs) each indicating a time of one of a plurality of atrial activations of a corresponding ECG signal; and
generating for display, based on the LATs, at least two matrices having a number of rows and a number of columns of elements, each element representing one of the plurality of sensors and for a first matrix, each element visually indicating a level of incidence of the atrial activations of each corresponding ECG signal occurring before atrial activations of ECG signals acquired by a plurality of neighboring sensors within a period of time, and for a second matrix, each element visually indicating a level of incidence of encountered waves in which the one sensor was activated before the plurality of neighboring sensors,
wherein the displayed first matrix and second matrix visually indicate whether one or more focal source areas of activation are in the heart.

2. The method of claim 1 , further comprising:
generating a model for each of the plurality of atrial activations using a plurality of parameters of each corresponding atrial activation;
receiving a plurality of S-wave atrial annotations each associating an atrial activation with the one or more parameters corresponding to the atrial activation;
generating one or more classifiers of the atrial activations using the annotations;
classifying the plurality of atrial activations as S-wave signals according to the one or more classifiers; and
providing information visually indicating, for each sensor, a number of S-wave activations occurring before neighboring sensors of each sensor within a period of time.

3. The method of claim 2 , wherein
the model is generated based on a plurality of orthonormal Hermitian polynomials,
the plurality of parameters comprise a set of coefficients and a width of each polynomial, and
for each width, a corresponding coefficient is determined using a summed square error.

4. The method of claim 1 , further comprising:
generating one or more maps representing at least one of the electrical activity of the heart and the spatio-temporal manifestation of the electrical activity of the heart.

5. The method of claim 1 , wherein
the first matrix is a fibrillation wave start map, and
the second matrix is a fibrillation wave spread map.

6. A system for atrial focal source detection which improves processing performance, the system comprising:
a plurality of sensors configured to detect a plurality of electro-cardiogram (ECG) signals each indicating electrical activity of a heart over time, each of the plurality of sensors configured to detect one of the ECG signals;
a processing device comprising one or more processors configured to:
determine, for each of the plurality of ECG signals, one or more local activation times (LATs) each indicating a time of activation of a corresponding ECG signal; and
generate for display, based on the LATs, at least two matrices having a number of rows and a number of columns of elements, each element representing one of the plurality of sensors and for a first matrix, each element visually indicating a level of incidence of the atrial activations of each corresponding ECG signal occurring before atrial activations of ECG signals acquired by a plurality of neighboring sensors within a period of time, and for a second matrix, each element visually indicating a level of incidence of encountered waves in which the one sensor was activated before the plurality of neighboring sensors,
wherein the displayed first matrix and second matrix visually indicate whether one or more focal source areas of activation are in the heart.

7. The system of claim 6 , wherein the one or more processors is further configured to:
generate a model for each of the plurality of atrial activations using a plurality of parameters of each corresponding atrial activation;
receive a plurality of S-wave atrial annotations each associating an atrial activation with the one or more parameters corresponding to the atrial activation;
generate one or more classifiers of the atrial activations using the annotations;
classify the plurality of atrial activations as S-wave signals according to the one or more classifiers; and
provide information visually indicating, for each sensor, a number of S-wave activations occurring before neighboring sensors of each sensor within a period of time.

8. The system of claim 7 , wherein,
the model is generated based on a plurality of orthonormal Hermitian polynomials,
the plurality of parameters comprise a set of coefficients and a width of each polynomial, and
for each width, a corresponding coefficient is determined using a summed square error.

9. The system of claim 6 , wherein the one or more processors is further configured to:
generating one or more maps representing at least one of the electrical activity of the heart and the spatio-temporal manifestation of the electrical activity of the heart.

10. The system of claim 6 , wherein the first matrix is a fibrillation wave start map, and
the second matrix is a fibrillation wave spread map.

11. A non-transitory computer readable medium comprising instructions for causing a computer to execute a method of atrial focal source detection which improves processing performance, the instructions comprising:
detecting, via a plurality of sensors, electro-cardiogram (ECG) signals over time, each ECG signal detected via one of the plurality of sensors and indicating electrical activity of a heart;
determining, for each of the plurality of ECG signals, one or more local activation times (LATs) each indicating a time of activation of a corresponding ECG signal; and
generating for display, based on the LATs, at least two matrices having a number of rows and a number of columns of elements, each element representing one of the plurality of sensors and for a first matrix, each element visually indicating a level of incidence of the atrial activations of each corresponding ECG signal occurring before atrial activations of ECG signals acquired by a plurality of neighboring sensors within a period of time, and for a second matrix, each element visually indicating a level of incidence of encountered waves in which the one sensor was activated before the plurality of neighboring sensors,
wherein the displayed first matrix and second matrix visually indicate whether one or more focal source areas of activation are in the heart.

12. The computer readable medium of claim 11 , wherein the instructions further comprise:
generating one or more maps representing at least one of the electrical activity of the heart and the spatio-temporal manifestation of the electrical activity of the heart.

13. The computer readable medium of claim 12 , wherein the instructions further comprise:
generating a model for each of the plurality of atrial activations using a plurality of parameters of each corresponding atrial activation;
receiving a plurality of S-wave atrial annotations each associating an atrial activation with the one or more parameters corresponding to the atrial activation;
generating one or more classifiers of the atrial activations using the annotations;
classifying the plurality of atrial activations as S-wave signals according to the one or more classifiers; and
providing inform

Assignees

• Biosense Webster Israel Ltd

Inventors

• Urman Roy
• Zeidan Ziyad
• Goldberg Stanislav
• Hayam Gal
• Bar-Tal Meir
• Ben Zrihem Yaniv
• Verma Atul
• Amos Yariv Avraham
• Houben Richard P M

Classifications

• G16H50/70

  for mining of medical data, e.g. analysing previous cases of other patients · CPC title

• A61B5/743

  Displaying an image simultaneously with additional graphical information, e.g. symbols, charts, function plots · CPC title

• A61B2562/046

  in a matrix array · CPC title

• A61B5/7267 Primary

  involving training the classification device · CPC title

• A61B5/6856

  with a distal loop · CPC title