Enhanced activation onset time optimization by similarity based pattern matching
US-9579034-B2 · Feb 28, 2017 · US
US9730603B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9730603-B2 |
| Application number | US-201514744888-A |
| Country | US |
| Kind code | B2 |
| Filing date | Jun 19, 2015 |
| Priority date | Jun 20, 2014 |
| Publication date | Aug 15, 2017 |
| Grant date | Aug 15, 2017 |
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Medical devices and methods for making and using medical devices are disclosed. An example medical device may include a system for mapping the electrical activity of the heart. The system may include a catheter shaft with a plurality of electrodes. The system may also include a processor. The processor may be capable of collecting a set of signals from at least one of the plurality of electrodes. The set of signals may be collected over a time period. The processor may also be capable of calculating at least one propagation vector from the set of signals, generating a data set from the at least one propagation vector, generating a statistical distribution of the data set and generating a visual representation of the statistical distribution.
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We claim: 1. A system for mapping electrical activity of a heart, comprising: a catheter comprising a distal end including a multiple electrode structure, the multiple electrode structure comprising a plurality of electrodes; a processor electrically coupled to the plurality of electrodes, wherein the processor is configured to: collect a set of signals from more than one of the plurality of electrodes, wherein more than one electrode of the plurality of electrodes collects the set of signals over a time period and includes signals from more than one heart cycle; calculate at least one propagation vector from the set of signals, wherein the propagation vector includes a direction and magnitude and wherein the magnitude is correlated to a characteristic of propagation of the electrical activity of the heart; generate a data set from the at least one propagation vector; generate a statistical distribution of the data set, wherein the statistical distribution includes the signals collected by the more than one electrode from the more than one heart cycle; and output to a display device a visual representation of the statistical distribution and the at least one propagation vector including the magnitude of the at least one propagation vector. 2. The system of claim 1 , wherein to generate the statistical distribution of the data set, the processor is configured to generate a histogram of the data set. 3. The system of claim 2 , wherein to generate the histogram of the data set, the processor is configured to generate a circular histogram. 4. The system of claim 2 , wherein to output to a display device the visual representation of the statistical distribution, the processor is configured to output to the display device at least one circular histogram. 5. The system of claim 4 , wherein to perform the algorithmic computation of the data set, the processor is configured to determine at least one of the following: standard deviation, entropy, kurtosis, skewness or the circular average of the data set. 6. The system of claim 1 , the processor being further configured to perform an algorithmic computation of the data set. 7. The system of claim 6 , wherein to perform the algorithmic computation of the data set, the processor is configured to generate a representative metric value for the data set. 8. The system of claim 7 , wherein to generate the representative metric value, the processor is configured to generate a metric value for each of the plurality of electrodes across the time period. 9. The system of claim 8 , the processor being further configured to output to a display device the representative metric values from each of the plurality of electrodes. 10. The system of claim 9 , the processor being further configured to correlate one or more metric indicators to one or more representative metric values. 11. The system of claim 10 , wherein each of the metric indicators correspond to a discrete metric interval, wherein the discrete metric intervals are subdivisions of an overall metric interval. 12. The system of claim 10 , the processor being further configured to create a grid of the metric indicators for each of the plurality of electrodes. 13. The system of claim 1 , wherein the at least one propagation vector includes a propagation angle, wherein to calculate the propagation vector, the processor is configured to utilize an activation and wherein to generate a data set, the processor is configured to define the data set to include the vector angle for each of the set of signals from the more than one of the plurality of electrodes. 14. The system of claim 2 , wherein to generate a visual representation of the statistical distribution, the processor is configured to output to a display device one or more of a histogram, a circular histogram, a two-dimensional grid, a three-dimensional model, a three-dimensional surface and a propagation vector. 15. A method for mapping electrical activity of a heart, the method comprising: advancing a catheter to a target region within a cardiac chamber, the catheter comprising a distal end including a multiple electrode structure, the multiple electrode structure comprising a plurality of electrodes, wherein the plurality of electrodes are coupled to a processor; collecting a set of signals from at least one of the plurality of electrodes, wherein more than one electrode of the plurality of electrodes collects the set of signals over a time period and includes signals from more than one heart cycle; calculating at least one propagation vector from the set of signals, wherein the propagation vector includes a direction and magnitude and wherein the magnitude is correlated to a characteristics of propagation of the electrical activity of the heart; generating a data set from the at least one propagation vector; generating a statistical distribution of the data set, wherein the statistical distribution includes the signals collected by the more than one electrode from the more than one heart cycle; and displaying a visual representation of the statistical distribution and the at least one propagation vector including the magnitude of the at least one propagation vector, wherein displaying a visual representation includes displaying one or more of a confidence level, a reliability level and a stability level.
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