Methods and systems for generating integrated substrate maps for cardiac arrhythmias

US9788751B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-9788751-B2
Application numberUS-201514884545-A
CountryUS
Kind codeB2
Filing dateOct 15, 2015
Priority dateOct 15, 2014
Publication dateOct 17, 2017
Grant dateOct 17, 2017

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Abstract

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An electrophysiology map, for example a map of arrhythmic substrate, can be generated by acquiring both geometry information and electrophysiology information pertaining to an anatomical region, and associating the acquired geometry and electrophysiology information as a plurality of electrophysiology data points. A user can select two (or more) electrophysiological characteristics for display, and can further elect to apply various filters to the selected electrophysiological characteristics. The user can also define various relationships (e.g., Boolean ANDs, ORs, and the like) between the selected and/or filtered characteristics. The user-selected filtering criteria can be applied to the electrophysiology data points to output various subsets thereof. These subsets can then be graphically rendered using various combinations of colorscale, monochrome scale, and iconography, for example as a three-dimensional cardiac electrophysiology model.

First claim

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What is claimed is: 1. A method of generating an electrophysiology map, comprising: acquiring geometry information pertaining to an anatomical region, the geometry information comprising position information for a plurality of points in the anatomical region; acquiring electrophysiology information pertaining to the anatomical region, the electrophysiology information comprising a plurality of electrophysiological characteristics of the anatomical region; associating the geometry information with the electrophysiology information as a plurality of electrophysiology (“EP”) data points; accepting user input to select a first electrophysiological characteristic of the plurality of electrophysiological characteristics and a first filtering criterion for the first electrophysiological characteristic; accepting user input to select a second electrophysiological characteristic of the plurality of electrophysiological characteristics and a second filtering criterion for the second electrophysiological characteristic; applying the first filtering criterion and the second filtering criterion to the plurality of EP data points; outputting a subset of the plurality of EP data points satisfying both the first filtering criterion and the second filtering criterion; accepting user input prioritizing the first electrophysiological characteristic and the second electrophysiological characteristic; and outputting a three-dimensional graphical representation of the subset of the plurality of EP data points, wherein the three-dimensional graphical representation includes both the first electrophysiological characteristic and the second electrophysiological characteristic, and wherein a higher priority electrophysiological characteristic of the first and second electrophysiological characteristics is rendered preferentially to and to the exclusion of a lower priority electrophysiological characteristic of the first and second electrophysiological characteristics in regions of overlap between the first electrophysiological characteristic and the second electrophysiological characteristic. 2. The method according to claim 1 , wherein the first electrophysiological characteristic comprises cycle length mean and the second electrophysiological characteristic comprises cycle length standard deviation. 3. The method according to claim 2 , wherein the first filtering criterion comprises a band pass filter with a pass band from 110 ms to 290 ms and second filtering criterion comprises a band pass filter with a pass band from 1 ms to 30 ms. 4. The method according to claim 1 , wherein the first electrophysiological characteristic and the first filtering criterion respectively comprise one of: fractionation index and a high pass filter; peak-to-peak voltage and a low pass filter; electrogram sharpness and a high pass filter; conduction velocity consistency index and a high pass filter; and conduction velocity and a low pass filter. 5. The method according to claim 4 , wherein the second electrophysiological characteristic and the second filtering criterion respectively comprise one of: fractionation index and a high pass filter; peak-to-peak voltage and a low pass filter; electrogram sharpness and a high pass filter; conduction velocity consistency index and a high pass filter; and conduction velocity and a low pass filter, and wherein the second electrophysiological characteristic and the second filtering criterion differ, respectively, from the first electrophysiological characteristic and the first filtering criterion. 6. A method of generating an electrophysiology map, comprising: acquiring geometry information pertaining to an anatomical region, the geometry information comprising position information for a plurality of points in the anatomical region; acquiring electrophysiology information pertaining to the anatomical region, the electrophysiology information comprising a plurality of electrophysiological characteristics of the anatomical region; associating the geometry information with the electrophysiology information as a plurality of electrophysiology (“EP”) data points; accepting user input to select a first electrophysiological characteristic of the plurality of electrophysiological characteristics, a first filtering criterion for the first electrophysiological characteristic, and a first priority for the first electrophysiological characteristic; applying the first filtering criterion to the plurality of EP data points to output a first subset of the plurality of EP data points satisfying the first filtering criterion; accepting user input to select a second electrophysiological characteristic of the plurality of electrophysiological characteristics, a second filtering criterion for the second electrophysiological characteristic, and a second priority for the second electrophysiological characteristic; applying the second filtering criterion to the plurality of EP data points to output a second subset of the plurality of EP data points satisfying the second filtering criterion; outputting a three-dimensional graphical representation of the first and second subsets of the plurality of EP data points according to the first priority and the second priority such that, in regions of overlap between the first and second subsets of the plurality of EP data points, a higher priority subset of the first and second subsets of the plurality of EP data points is rendered preferentially to and to the exclusion of a lower priority subset of the plurality of EP data points. 7. The method according to claim 6 , wherein outputting a three-dimensional graphical representation of the first and second subsets of the plurality of EP data points according to the first priority and the second priority comprises: rendering the graphical representation of the first subset of the plurality of EP data points preferentially to the graphical representation of the second subset of the plurality of data points if the first priority is higher than the second priority; and rendering the graphical representation of the second subset of the plurality of EP data points preferentially to the graphical representation of the first subset of the plurality of data points if the second priority is higher than the first priority. 8. The method according to claim 6 , wherein outputting a three-dimensional graphical representation of the first and second subsets of the plurality of EP data points according to the first priority and the second priority comprises: rendering the graphical representation of the first subset of the plurality of data points using a colorscale; and rendering the graphical representation of the second subset of the plurality of data points using a monochrome scale. 9. The method according to claim 6 , wherein outputting a three-dimensional graphical representation of the first and second subsets of the plurality of EP data points according to the first priority and the second priority comprises: rendering the graphical representation of the first subset of the plurality of data points using one of a colorscale and a monochrome scale; and rendering the graphical representation of the second subset of the plurality of data points using iconography. 10. The method according to claim 6 , further comprising: accepting user input to select a third electrophysiological characteristic of the plurality of electrophysiological characteristics, a third filtering criterion for the third electrophysiological characteristic, and a third priority for the third electrophysiological characteristic; applying the third filtering criterion to the plurality of EP data points to output a third subset of the plurality of EP data points satisfying the

Assignees

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Classifications

  • Surgical care · CPC title

  • A61B5/7485Primary

    Automatic selection of region of interest · CPC title

  • Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms · CPC title

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

  • using specific filters therefor, e.g. Kalman or adaptive filters (specific diagnostics methods using using bioelectric or biomagnetic signals A61B5/316) · CPC title

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What does patent US9788751B2 cover?
An electrophysiology map, for example a map of arrhythmic substrate, can be generated by acquiring both geometry information and electrophysiology information pertaining to an anatomical region, and associating the acquired geometry and electrophysiology information as a plurality of electrophysiology data points. A user can select two (or more) electrophysiological characteristics for display,…
Who is the assignee on this patent?
St Jude Medical Cardiology Div Inc
What technology area does this patent fall under?
Primary CPC classification A61B5/7485. Mapped technology areas include Human Necessities.
When was this patent published?
Publication date Tue Oct 17 2017 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 5 related publications on this page (citations in our corpus or others sharing the same primary CPC).