MEDICAL DEVICES FOR MAPPING CARDIAC TISSUE

• US 20150196216A1
• Filed: 01/13/2015
• Published: 07/16/2015
• Est. Priority Date: 01/13/2014
• Status: Abandoned Application

• Current Assignee: Boston Scientific Scimed (Boston Scientific Corporation)
• Original Assignee: Boston Scientific Scimed (Boston Scientific Corporation)
• Inventors: LAUGHNER, JACOB I., SHOME, SHIBAJI, MEYER, SCOTT A., STALSBERG, KEVIN J.
• Application Number:
  US14/595,656
• Publication Number:
  US 20150196216A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: A61B 18/1492 having a flexible, catheter-like structure, e.g. for heart ablation A61B18/1477 takes precedence
• CPC Class Codes: A61B 2018/0016 Energy applicators arranged in a two- or three dimensional array
• CPC Class Codes: A61B 2018/00267 having a basket shaped structure
• CPC Class Codes: A61B 2018/00351 Heart
• CPC Class Codes: A61B 2018/00357 Endocardium
• CPC Class Codes: A61B 2018/00839 Bioelectrical parameters, e.g. ECG, EEG
• CPC Class Codes: A61B 5/287 Holders for multiple electrodes, e.g. electrode catheters for electrophysiological study [EPS]
• CPC Class Codes: A61B 5/316 Modalities, i.e. specific diagnostic methods
• CPC Class Codes: A61B 5/327 Generation of artificial ECG signals based on measured signals, e.g. to compensate for missing leads
• CPC Class Codes: A61B 5/339 Displays specially adapted therefor
• CPC Class Codes: A61B 5/6858 with a distal basket, e.g. expandable basket
• CPC Class Codes: A61B 5/6869 Heart
• CPC Class Codes: A61B 5/7278 Artificial waveform generation or derivation, e.g. synthesising signals from measured signals A61B5/327 takes precedence

Abstract

Medical devices and methods for making and using medical devices are disclosed. An example medical device may include a catheter shaft with a plurality of electrodes coupled thereto and a processor coupled to the catheter shaft. The processor may be capable of collecting a set of signals from the plurality of electrodes, generating a set of data from at least one of the set of signals, wherein the data set includes at least one known data point and one or more unknown data points, determining a non-linear distance between the at least one known data point and the one or more unknown data points, and assigning a value to at least one of the unknown data points.

Claims

1. A medical device, comprising:

a catheter shaft with a plurality of electrodes coupled thereto;

a processor coupled to the catheter shaft, wherein the processor is capable of;

collecting a set of signals from the plurality of electrodes;

generating a data set from at least one of the set of signals, wherein the data set includes at least one known data point and one or more unknown data points;

determining a non-linear distance between the at least one known data point and the one or more unknown data points; and

assigning a value to at least one of the unknown data points.

2. The medical device of claim 1, wherein collecting the set of signals further includes sensing a change in electrical potential by any one of the plurality of electrodes.

3. The medical device of claim 2, further comprising identifying a threshold value corresponding to a minimum change in electrical potential by any one of the plurality of electrodes;

and

wherein collecting the set of signals includes collecting only those signals that are above the threshold value.

4. The medical device of claim 1, wherein collecting the set of signals includes determining an activation time at one or more of the plurality of electrodes and wherein determining the activation time includes identifying a fiducial point corresponding to a change in electrical potential and determining a time latency between a reference point and the fiducial point.

5. The medical device of claim 1, wherein determining the non-linear distance between at least one known data point and one or more unknown data points includes creating a mesh of interconnected nodes between the known data points, the unknown data points or both the known and unknown data points.

6. The medical device of claim 5, wherein determining the non-linear distance between at least one known data point and one or more unknown data points includes upsampling the mesh of interconnected nodes.

7. The medical device of claim 1, wherein determining the non-linear distance between at least one known data point and one or more unknown data points includes determining a geodesic distance between the known data points, unknown data points or both the known and unknown data points.

8. The medical device of claim 1, wherein assigning a value to at least one of the unknown data points includes interpolating the at least one unknown data point, and wherein interpolating the at least one unknown data point includes utilizing the non-linear distance between the at least one known data point and the unknown data point.

9. The medical device of claim 8, wherein interpolating the at least one unknown data point includes a radial basis function interpolation.

10. The medical device of claim 9, wherein interpolating the at least one unknown data point further includes utilizing a geodesic distance in the radial basis function interpolation.

11. The medical device of claim 8, wherein utilizing the non-linear distance between the at least one known data point and the unknown data point further comprises using a geodesic distance between the at least one known data point and the unknown data point.

12. The medical device of claim 1, wherein assigning a value to at least one of the unknown data points includes assigning an activation time to at least one of the unknown data points.

13. The medical device of claim 12, wherein assigning an activation time to at least one of the unknown data points further comprises a radial basis function interpolation of activation times, wherein the radial basis function interpolation incorporates a geodesic distance between at least one known data point and one or more unknown data points.

14. The medical device of claim 1, further comprising generating a visual display of between at least one known data point, one or more unknown data points or both and wherein generating a visual representation includes creating an activation map, wherein the activation map further comprises a plurality of color indicators.

15. A medical device for mapping the electrical activity of the heart, comprising:

a catheter shaft coupled to a sensing element, wherein the sensing element includes a plurality of electrodes coupled thereto;

a processor coupled to the catheter shaft, wherein the processor is capable of;

collecting a set of signals from the plurality of electrodes;

generating a data set from at least one of the set of signals, wherein the data set includes at least one known data point and one or more unknown data points;

determining a non-linear distance between the at least one known data point and the one or more unknown data points;

interpolating the at least one unknown data point from the at least one known data point, wherein interpolating the at least one unknown data point includes utilizing the non-linear distance between the at least one known data point and the unknown data point; and

assigning a value to at least one of the unknown data points.

16. The medical device of claim 15, wherein determining the non-linear distance between at least one known data point and one or more unknown data points includes determining a geodesic distance between the known data points, unknown data points or both the known and unknown data points.

17. The medical device of claim 15, wherein interpolating the at least one unknown data point further includes utilizing a geodesic distance in a radial basis function interpolation.

18. The medical device of claim 15, wherein utilizing the non-linear distance between the at least one known data point and the unknown data point further comprises using a geodesic distance between the at least one known data point and the unknown data point.

19. The medical device of claim 15, wherein assigning a value to at least one of the unknown data points includes assigning an activation time to at least one of the unknown data points and wherein assigning an activation time to at least one of the unknown data points further comprises a radial basis function interpolation of activation times, wherein the radial basis function interpolation incorporates a geodesic distance between at least one known data point and one or more unknown data points.

20. A method of mapping the electrical activity of the heart, the method comprising:

advancing a catheter shaft with a plurality of electrodes coupled thereto into a chamber of the heart, wherein the catheter shaft is coupled to a processor, wherein the processor is capable of;

collecting a set of signals from the plurality of electrodes;

generating a data set from at least one of the set of signals, wherein the data set includes at least one known data point and one or more unknown data points;

determining a non-linear distance between the at least one known data point and the one or more unknown data points; and

assigning a value to at least one of the unknown data points.