System and method for diagnosing arrhythmias and directing catheter therapies

Patent metadata

Field	Value
Publication number	US-2016100770-A1
Application number	US-201514881849-A
Country	US
Kind code	A1
Filing date	Oct 13, 2015
Priority date	Dec 30, 2010
Publication date	Apr 14, 2016
Grant date	—

Abstract

An efficient system for diagnosing arrhythmias and directing catheter therapies may allow for measuring, classifying, analyzing, and mapping spatial electrophysiological (EP) patterns within a body. The efficient system may further guide arrhythmia therapy and update maps as treatment is delivered. The efficient system may use a medical device having a high density of sensors with a known spatial configuration for collecting EP data and positioning data. Further, the efficient system may also use an electronic control system (ECU) for computing and providing the user with a variety of metrics, derivative metrics, high definition (HD) maps, HD composite maps, and general visual aids for association with a geometrical anatomical model shown on a display device.

First claim

1 . (canceled)

2 . A method for analyzing electrophysiological (EP) data from a tissue of a body, the method comprising:
receiving electrical signals representative of the EP data from a plurality of sensors; computing a metric based on the EP data from the plurality of sensors; and applying a matched filter to one or more of the EP data and values of the metric to identify EP patterns on the tissue of the body.

3 . The method of claim 2 , wherein computing the metric based on the EP data from the plurality of sensors includes computing a derivative of a conduction velocity of a depolarization wave passing between a pair of the plurality of sensors.

4 . The method of claim 32 , wherein the method includes determining at least one of an acceleration and deceleration of the depolarization wave based on the derivative of the conduction velocity.

5 . The method of claim 4 , wherein the method includes identifying an area of interest on the tissue of the body based on an amount of change in the acceleration and deceleration of the depolarization wave on the tissue of the body.

6 . The method of claim 2 , wherein applying the matched filter includes comparing a number of known patterns to one or more of the EP data and values of the metric to identify EP patterns on the tissue of the body.

7 . The method of claim 2 , further comprising:
combining the metric with an additional metric to form a combination metric, wherein the metric and the additional metric are computed from a same area of interest of the tissue of the body; and generating a composite map from the combination metric.

8 . The method of claim 7 , wherein the combination metric comprises a spatial gradient and a temporal gradient.

9 . The method of claim 2 , further comprising:
generating a map based on a determined position of at least one of the plurality of sensors and the identified EP patterns; and updating the map with successive heartbeats.

10 . The method of claim 2 , further comprising computing a derivative metric based on the metric.

11 . The method of claim 10 , further comprising indicating with the derivative metric at least one rate at which values of the metric are changing in relation to distance.

12 . A non-transitory computer readable medium storing instructions executable by a processing device, to:
receive electrophysiological data (EP) data associated with a tissue of a body from a sensor; compute a temporal metric based on the EP data and a position of the sensor, the position of the sensor being calculated based on positional data received from the sensor; generate a map based on the position of the sensor and on one or more of the temporal metric and the EP data; and apply a matched filter to one or more of the EP data and values of the temporal metric to identify EP patterns on the tissue of the body.

13 . The non-transitory computer readable medium of claim 12 , wherein the instructions executable to compute the temporal metric include instructions executable to compute a value indicating an amount of time that has elapsed since the sensor was last depolarized.

14 . The non-transitory computer readable medium of claim 12 , wherein the instructions executable to compute the temporal metric include instructions executable to compute a value indicating an amount of time that the sensor spends depolarizing.

15 . The non-transitory computer readable medium of claim 12 , wherein the instructions executable to compute the temporal metric include instructions executable to compute a value indicating a summation of amounts of time where at least one of a set of a plurality of sensors spends depolarizing.

16 . A system for analyzing and mapping electrophysiological (EP) data from a tissue of a body, the system comprising:
a processor; and a non-transitory computer readable medium coupled with the processor, the non-transitory computer readable medium storing instructions executable by the processor to:
receive EP data associated with a tissue of a body from a sensor;
compute a plurality of metrics based on the EP data and a position of the sensor, the position of the sensor being calculated based on positional data received from the sensor, wherein the plurality of metrics include at least a temporal metric and a spatial metric;
combine the plurality of metrics to form a combination metric; and
generate a map based on the position of the sensor and based on one or more of the combination metric and the EP data.

17 . The system of claim 16 , further comprising instructions executable by the processor to compute the plurality of metrics from a same area of interest of the tissue of the body.

18 . The system of claim 17 , wherein the instructions executable by the processor to compute the temporal metric include instructions executable to determine a metric indicating an amount of time that has elapsed since a most-recent depolarization wave passed the sensor.

19 . The system of claim 16 , wherein the instructions executable by the processor to generate the map include instructions executable to generate an absolute activation time map.

20 . The system of claim 16 , further comprising instructions executable to apply a matched filter to one or more of the EP data and values of the combination metric to identify EP patterns on the tissue of the body.

21 . The system of claim 16 , wherein the instructions executable to combine the plurality of metrics to form the combination metric include instructions to normalize values from at least two of the plurality of metrics and weight the at least two metrics.

Assignees

• St Jude Medical Atrial Fibrill

Inventors

• Afonso Valtino X
• Shi Jiazheng
• Kim Steven J
• Deno D Curtis
• Morgan Dennis J

Classifications

• G16H30/40

  for processing medical images, e.g. editing · CPC title

• A61B5/0036

  including treatment, e.g., using an implantable medical device, ablating, ventilating · CPC title

• A61B5/0538

  invasively, e.g. using a catheter · CPC title

• A61B5/6852

  Catheters · CPC title

• A61B2018/00577

  Ablation · CPC title